UNITED STATES
SECURITIES AND EXCHANGE COMMISSION
REPORT OF FOREIGN PRIVATE ISSUER PURSUANT TO RULE 13a-16 OR 15d-16
UNDER THE SECURITIES EXCHANGE ACT OF 1934
Commission File Number 001-15244
(Translation of registrant’s name into English)
Paradeplatz 8, CH 8001 Zurich, Switzerland
(Address of principal executive office)
Indicate by check mark whether the registrant files or will file annual reports under cover of Form 20-F or
Form 40-F.
Form 20-F
Form 40-F
Indicate by check mark if the registrant is submitting the Form 6-K in paper as permitted by Regulation S-T Rule 101(b)(1):
Note: Regulation S-T Rule 101(b)(1) only permits the submission in paper of a Form 6-K if submitted solely to provide an attached annual report to security holders.
Indicate by check mark if the registrant is submitting the Form 6-K in paper as permitted by Regulation S-T Rule 101(b)(7):
Note: Regulation S-T Rule 101(b)(7) only permits the submission in paper of a Form 6-K if submitted to furnish a report or other document that the registrant foreign private issuer must furnish and make public under the laws of the jurisdiction in which the registrant is incorporated, domiciled or legally organized (the registrant’s “home country”), or under the rules of the home country exchange on which the registrant’s securities are traded, as long as the report or other document is not a press release, is not required to be and has not been distributed to the registrant’s security holders, and, if discussing a material event, has already been the subject of a Form 6-K submission or other Commission filing on EDGAR.
Indicate by check mark whether the registrant by furnishing the information contained in this Form is also thereby furnishing the information to the Commission pursuant to Rule 12g3-2(b) under the Securities Exchange Act of 1934.
Yes
No
If “Yes” is marked, indicate below the file number assigned to the registrant in connection with Rule 12g3-2(b): 82-.
Pursuant to the requirements of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned, thereunto duly authorized.
CREDIT SUISSE GROUP AG
(Registrant)
Date: August 29, 2019
By:
/s/ Lara J. Warner
Lara J. Warner
Chief Risk Officer
By:
/s/ David R. Mathers
David R. Mathers
Chief Financial Officer
For purposes of this report, unless the context otherwise requires, the terms “Credit Suisse,” the “Group,” “we,” “us” and “our” mean Credit Suisse Group AG and its consolidated subsidiaries. The business of Credit Suisse AG, the direct bank subsidiary of the Group, is substantially similar to the Group, and we use these terms to refer to both when the subject is the same or substantially similar. We use the term the “Bank” when we are only referring to Credit Suisse AG and its consolidated subsidiaries.
Abbreviations are explained in the List of abbreviations in the back of this report.
Publications referenced in this report, whether via website links or otherwise, are not incorporated into this report.
In various tables, use of “–” indicates not meaningful or not applicable.
Pillar 3 and regulatory disclosures 2Q19
Credit Suisse Group AG
Introduction
Swiss capital requirements
Risk-weighted assets
Credit risk
Counterparty credit risk
Securitization
Market risk
Interest rate risk in the banking book
Additional regulatory disclosures
List of abbreviations
Cautionary statement regarding forward-looking information
This Group report as of June 30, 2019 is based on the revised Circular 2016/1 “Disclosure – banks” (FINMA circular) issued by the Swiss Financial Market Supervisory Authority FINMA (FINMA) on July 16, 2018. The revised FINMA circular includes the implementation of the revised Pillar 3 disclosure requirements issued by the Basel Committee on Banking Supervision (BCBS) in March 2017 and requires banks to gradually implement the new requirements from December 31, 2018 onwards.
This report is produced and published quarterly, in accordance with FINMA requirements. The reporting frequency for each disclosure requirement is either annual, semi-annual or quarterly. This document should be read in conjunction with the Pillar 3 and regulatory disclosures – Credit Suisse Group AG 4Q18 and 1Q19, the Credit Suisse Annual Report 2018 and the Credit Suisse Financial Report 2Q19, which includes important information on regulatory capital, risk management (specific references have been made herein to these documents) and regulatory developments and proposals.
The highest consolidated entity in the Group to which the FINMA circular applies is Credit Suisse Group.
These disclosures were verified and approved internally in line with our board-approved policy on disclosure controls and procedures. The level of internal control processes for these disclosures is similar to those applied to the Group’s quarterly and annual financial reports. This report has not been audited by the Group’s external auditors.
For certain prescribed table formats where line items have zero balances, such line items have not been presented.
This report reflects certain updates and corrections to prior period metrics which have been noted in the relevant tabular disclosures, where applicable.
Other regulatory disclosures
In connection with the implementation of Basel III, certain regulatory disclosures for the Group and certain of its subsidiaries are required. The Group’s Pillar 3 disclosure, regulatory disclosures, additional information on capital instruments, including the main features of regulatory capital instruments and total loss-absorbing capacity (TLAC)-eligible instruments that form part of the eligible capital base and TLAC resources, Global systemically important bank (G-SIB) financial indicators, reconciliation requirements, leverage ratios and certain liquidity disclosures as well as regulatory disclosures for subsidiaries can be found on our website.
> Refer to credit-suisse.com/regulatorydisclosures for additional information.
Swiss capital requirements
FINMA requires the Group to fully comply with the special requirements for systemically important financial institutions operating internationally. The following tables present the Swiss capital and leverage requirements and metrics as required by FINMA.
> Refer to “Swiss requirements” (pages 54 to 55) and “Swiss metrics” (pages 62 to 63) in II – Treasury, risk, balance sheet and off-balance sheet – Capital management in the Credit Suisse Financial Report 2Q19 for further information on general Swiss requirements and the related metrics.
Swiss capital requirements and metrics
|
|
|
Phase-in
|
|
Look-through
|
|
end of 2Q19
|
|
CHF million
|
|
in %
of RWA
|
|
CHF million
|
|
in %
of RWA
|
|
Swiss risk-weighted assets
|
Swiss risk-weighted assets
|
|
291,438
|
|
–
|
|
291,438
|
|
–
|
|
Risk-based capital requirements (going-concern) based on Swiss capital ratios
|
Total
|
|
40,422
|
|
13.87
|
|
42,520
|
|
14.59
|
|
of which CET1: minimum
|
|
14,280
|
|
4.9
|
|
13,115
|
|
4.5
|
|
of which CET1: buffer
|
|
13,931
|
|
4.78
|
|
16,029
|
|
5.5
|
|
of which CET1: countercyclical buffers
|
|
845
|
|
0.29
|
|
845
|
|
0.29
|
|
of which additional tier 1: minimum
|
|
9,035
|
|
3.1
|
|
10,200
|
|
3.5
|
|
of which additional tier 1: buffer
|
|
2,332
|
|
0.8
|
|
2,332
|
|
0.8
|
|
Swiss eligible capital (going-concern)
|
Swiss CET1 capital and additional tier 1 capital 1
|
|
50,772
|
|
17.4
|
|
47,243
|
|
16.2
|
|
of which CET1 capital 2
|
|
36,240
|
|
12.4
|
|
36,240
|
|
12.4
|
|
of which additional tier 1 high-trigger capital instruments
|
|
6,256
|
|
2.1
|
|
6,256
|
|
2.1
|
|
of which additional tier 1 low-trigger capital instruments 3
|
|
4,747
|
|
1.6
|
|
4,747
|
|
1.6
|
|
of which tier 2 low-trigger capital instruments 4
|
|
3,529
|
|
1.2
|
|
–
|
|
–
|
|
Risk-based requirement for additional total loss-absorbing capacity (gone-concern) based on Swiss capital ratios
|
Total according to size and market share
|
|
33,807
|
5
|
11.6
|
5
|
41,676
|
|
14.3
|
|
Reductions due to rebates in accordance with article 133 of the CAO
|
|
(5,409)
|
|
(1.856)
|
|
(6,668)
|
|
(2.288)
|
|
Reductions due to the holding of additional instruments in the form of convertible capital in accordance with Art. 132 para 4 CAO
|
|
–
|
|
–
|
|
(1,765)
|
|
(0.606)
|
|
Total, net
|
|
28,398
|
|
9.744
|
|
33,243
|
|
11.406
|
|
Eligible additional total loss-absorbing capacity (gone-concern)
|
Total
|
|
36,975
|
|
12.7
|
|
39,997
|
|
13.7
|
|
of which bail-in instruments
|
|
35,945
|
|
12.3
|
|
35,945
|
|
12.3
|
|
of which tier 2 low-trigger capital instruments
|
|
523
|
|
0.2
|
|
4,052
|
|
1.4
|
|
of which non-Basel III-compliant tier 2 capital
|
|
507
|
6
|
0.2
|
|
–
|
|
–
|
|
Rounding differences may occur.
|
1
Excludes tier 1 capital, which is used to fulfill gone-concern requirements.
|
2
Excludes CET1 capital, which is used to fulfill gone-concern requirements.
|
3
If issued before July 1, 2016, such capital instruments qualify as additional tier 1 high-trigger capital instruments until their first call date according to the transitional Swiss "Too Big to Fail" rules.
|
4
If issued before July 1, 2016, such capital instruments qualify as additional tier 1 high-trigger capital instruments no later than December 31, 2019 according to the transitional Swiss "Too Big to Fail" rules.
|
5
Consists of a base requirement of 10.52%, or CHF 30,659 million, and a surcharge of 1.08%, or CHF 3,148 million.
|
6
Non-Basel III-compliant tier 2 capital instruments are subject to phase-out requirements. The amount includes the amortization component of CHF 134 million and the unamortized component of CHF 373 million.
|
Swiss leverage requirements and metrics
|
|
|
Phase-in
|
|
Look-through
|
|
end of 2Q19
|
|
CHF million
|
|
in %
of LRD
|
|
CHF million
|
|
in %
of LRD
|
|
Leverage exposure
|
Leverage ratio denominator
|
|
897,916
|
|
–
|
|
897,916
|
|
–
|
|
Unweighted capital requirements (going-concern) based on Swiss leverage ratio
|
Total
|
|
40,406
|
|
4.5
|
|
44,896
|
|
5.0
|
|
of which CET1: minimum
|
|
15,265
|
|
1.7
|
|
13,469
|
|
1.5
|
|
of which CET1: buffer
|
|
13,469
|
|
1.5
|
|
17,958
|
|
2.0
|
|
of which additional tier 1: minimum
|
|
11,673
|
|
1.3
|
|
13,469
|
|
1.5
|
|
Swiss eligible capital (going-concern)
|
Swiss CET1 capital and additional tier 1 capital 1
|
|
50,772
|
|
5.7
|
|
47,243
|
|
5.3
|
|
of which CET1 capital 2
|
|
36,240
|
|
4.0
|
|
36,240
|
|
4.0
|
|
of which additional tier 1 high-trigger capital instruments
|
|
6,256
|
|
0.7
|
|
6,256
|
|
0.7
|
|
of which additional tier 1 low-trigger capital instruments 3
|
|
4,747
|
|
0.5
|
|
4,747
|
|
0.5
|
|
of which tier 2 low-trigger capital instruments 4
|
|
3,529
|
|
0.4
|
|
–
|
|
–
|
|
Unweighted requirements for additional total loss-absorbing capacity (gone-concern) based on Swiss leverage ratio
|
Total according to size and market share
|
|
35,917
|
5
|
4.0
|
5
|
44,896
|
|
5.0
|
|
Reductions due to rebates in accordance with article 133 of the CAO
|
|
(5,747)
|
|
(0.64)
|
|
(7,183)
|
|
(0.8)
|
|
Reductions due to the holding of additional instruments in the form of convertible capital in accordance with Art. 132 para 4 CAO
|
|
–
|
|
–
|
|
(1,765)
|
|
(0.197)
|
|
Total, net
|
|
30,170
|
|
3.36
|
|
35,948
|
|
4.003
|
|
Eligible additional total loss-absorbing capacity (gone-concern)
|
Total
|
|
36,975
|
|
4.1
|
|
39,997
|
|
4.5
|
|
of which bail-in instruments
|
|
35,945
|
|
4.0
|
|
35,945
|
|
4.0
|
|
of which tier 2 low-trigger capital instruments
|
|
523
|
|
0.1
|
|
4,052
|
|
0.5
|
|
of which non-Basel III-compliant tier 2 capital
|
|
507
|
6
|
0.1
|
|
–
|
|
–
|
|
Rounding differences may occur.
|
1
Excludes tier 1 capital, which is used to fulfill gone-concern requirements.
|
2
Excludes CET1 capital, which is used to fulfill gone-concern requirements.
|
3
If issued before July 1, 2016, such capital instruments qualify as additional tier 1 high-trigger capital instruments until their first call date according to the transitional Swiss "Too Big to Fail" rules.
|
4
If issued before July 1, 2016, such capital instruments qualify as additional tier 1 high-trigger capital instruments no later than December 31, 2019 according to the transitional Swiss "Too Big to Fail" rules.
|
5
Consists of a base requirement of 3.625%, or CHF 32,549 million, and a surcharge of 0.375%, or CHF 3,368 million.
|
6
Non-Basel III-compliant tier 2 capital instruments are subject to phase-out requirements. The amount includes the amortization component of CHF 134 million and the unamortized component of CHF 373 million.
|
With the adoption of the revised FINMA circular, risk-weighted assets (RWA) presented in this report, including prior period comparisons, are based on the Swiss capital requirements.
> Refer to “Swiss requirements” (pages 54 to 55) in II – Treasury, risk, balance sheet and off-balance sheet – Capital management in the Credit Suisse Financial Report 2Q19 for further information on Swiss capital requirements.
The following table presents an overview of total Swiss RWA forming the denominator of the risk-based capital requirements. Further breakdowns of RWA are presented in subsequent sections of this report.
RWA were CHF 291.4 billion as of the end of 2Q19, stable compared to the end of 1Q19, mainly reflecting increases from external model and parameter updates and movement in risk levels, both mainly in credit risk. These increases were offset by a foreign exchange impact.
RWA flow statements for credit risk, counterparty credit risk (CCR) and market risk are presented in subsequent parts of this report.
> Refer to “Risk-weighted assets” (pages 58 to 59) in II – Treasury, risk, balance sheet and off-balance sheet – Capital management in the Credit Suisse Financial Report 2Q19 for further information on risk-weighted assets movements in 2Q19.
OV1 – Overview of Swiss risk-weighted assets and capital requirements
|
|
|
Risk-weighted assets
|
|
Capital
requirement
|
1
|
end of
|
|
2Q19
|
|
1Q19
|
|
4Q18
|
|
2Q19
|
|
CHF million
|
Credit risk (excluding counterparty credit risk)
|
|
146,640
|
|
146,010
|
|
139,867
|
|
11,731
|
|
of which standardized approach (SA)
|
|
23,877
|
|
22,613
|
|
13,190
|
|
1,910
|
|
of which supervisory slotting approach
|
|
2,702
|
|
2,671
|
|
2,403
|
|
216
|
|
of which advanced internal rating-based (A-IRB) approach
|
|
120,061
|
|
120,726
|
|
124,274
|
|
9,605
|
|
Counterparty credit risk
|
|
19,904
|
|
18,939
|
|
17,613
|
|
1,592
|
|
of which standardized approach for counterparty credit risk (SA-CCR) 2
|
|
2,792
|
|
2,781
|
|
2,559
|
|
223
|
|
of which internal model method (IMM)
|
|
15,957
|
|
15,133
|
|
14,086
|
|
1,277
|
|
of which other counterparty credit risk 3
|
|
1,155
|
|
1,025
|
|
968
|
|
92
|
|
Credit valuation adjustments (CVA)
|
|
6,017
|
|
5,996
|
|
5,743
|
|
481
|
|
Equity positions in the banking book under the simple risk weight approach
|
|
8,592
|
|
8,458
|
|
8,378
|
|
687
|
|
Settlement risk
|
|
309
|
|
129
|
|
259
|
|
25
|
|
Securitization exposures in the banking book
|
|
13,083
|
|
13,040
|
|
12,541
|
|
1,047
|
|
of which securitization internal ratings-based approach (SEC-IRBA)
|
|
7,131
|
|
6,627
|
|
6,915
|
|
570
|
|
of which securitization external ratings-based approach (SEC-ERBA), including internal assessment approach (IAA)
|
|
1,644
|
|
1,530
|
|
1,727
|
|
132
|
|
of which securitization standardized approach (SEC-SA)
|
|
4,308
|
|
4,883
|
|
3,899
|
|
345
|
|
Market risk
|
|
15,840
|
|
16,523
|
|
18,643
|
|
1,267
|
|
of which standardized approach (SA)
|
|
2,190
|
|
2,514
|
|
2,393
|
|
175
|
|
of which internal model approach (IMA)
|
|
13,650
|
|
14,009
|
|
16,250
|
|
1,092
|
|
Operational risk (AMA)
|
|
70,475
|
|
70,475
|
|
71,040
|
|
5,638
|
|
Amounts below the thresholds for deduction (subject to 250% risk weight)
|
|
10,578
|
|
11,159
|
|
11,109
|
|
847
|
|
Total
|
|
291,438
|
|
290,729
|
|
285,193
|
|
23,315
|
|
1
Calculated as 8% of Swiss risk-weighted assets, based on total capital minimum requirements, excluding capital conservation buffer and G-SIB buffer requirements.
|
2
Calculated under the current exposure method.
|
3
Includes RWA for contributions to the default fund of a central counterparty and loans hedged by centrally cleared CDS.
|
This section covers credit risk as defined by the Basel framework. CCR, including those that are in the banking book for regulatory purposes, and all positions subject to the securitization framework are presented in separate sections.
> Refer to “Counterparty credit risk” (pages 21 to 28) for further information on the capital requirements relating to counterparty credit risk.
> Refer to “Securitization” (pages 29 to 33) for further information on the securitization framework.
The Basel framework permits banks to choose between two broad methodologies in calculating their capital requirements for credit risk: the standardized approach or the internal ratings-based (IRB) approach. Off-balance-sheet items are converted into credit exposure equivalents through the use of credit conversion factors (CCF).
The reported credit risk arises from the execution of the Group’s business strategy through the divisions and is predominantly driven by cash and balances with central banks, loans and commitments provided to corporate and institutional clients, loans to private clients including residential mortgages and lending against financial collateral.
The amounts shown in the following tables are the US GAAP carrying values according to the regulatory scope of consolidation that are subject to the credit risk framework.
The following table presents a comprehensive picture of the credit quality of the Group’s on and off-balance sheet assets.
CR1 – Credit quality of assets
|
end of
|
|
Defaulted
exposures
|
|
Non-
defaulted
exposures
|
|
Gross
exposures
|
|
Allowances/
impairments
|
|
Net
exposures
|
|
2Q19 (CHF million)
|
Loans 1
|
|
2,671
|
|
364,340
|
|
367,011
|
|
(888)
|
|
366,123
|
|
Debt securities
|
|
103
|
|
13,046
|
|
13,149
|
|
0
|
|
13,149
|
|
Off-balance sheet exposures 2
|
|
143
|
|
105,517
|
|
105,660
|
|
(174)
|
|
105,486
|
|
Total
|
|
2,917
|
|
482,903
|
|
485,820
|
|
(1,062)
|
|
484,758
|
|
4Q18 (CHF million)
|
Loans 1
|
|
3,127
|
|
365,192
|
|
368,319
|
|
(908)
|
3
|
367,411
|
3
|
Debt securities
|
|
9
|
|
15,330
|
|
15,339
|
|
0
|
|
15,339
|
|
Off-balance sheet exposures 2
|
|
96
|
|
102,080
|
|
102,176
|
|
(165)
|
3
|
102,011
|
3
|
Total
|
|
3,232
|
|
482,602
|
|
485,834
|
|
(1,073)
|
3
|
484,761
|
3
|
1
Loans include all on-balance sheet exposures that give rise to a credit risk charge and exclude debt securities, derivatives, securities financing transactions and off-balance sheet exposures.
|
2
Revocable loan commitments, which are excluded from the disclosed exposures, can attract risk-weighted assets.
|
3
Prior period has been corrected.
|
The definitions of “past due” and “impaired” are aligned between accounting and regulatory purposes. However, there are some exemptions for impaired positions related to troubled debt restructurings where the default definition is different for accounting and regulatory purposes.
> Refer to “Note 1 – Summary of significant accounting policies” (pages 279 to 281), “Note 19 – Loans, allowance for loan losses and credit quality” (pages 300 to 306) in VI – Consolidated financial statements – Credit Suisse Group in the Credit Suisse Annual Report 2018 and “Note 18 – Loans, allowance for loan losses and credit quality” (pages 104 to 110) in III – Condensed consolidated financial statements – unaudited in the Credit Suisse Financial Report 2Q19 for further information on the credit quality of loans including past due and impaired loans.
The following table presents the changes in the Group’s defaulted loans, debt securities and off-balance sheet exposures, the flows between non-defaulted and defaulted exposure categories and reductions in the defaulted exposures due to write-offs.
CR2 – Changes in defaulted exposures
|
|
|
1H19
|
|
CHF million
|
Defaulted exposures at beginning of period
|
|
3,232
|
|
Exposures that have defaulted since the last reporting period
|
|
561
|
|
Returned to non-defaulted status
|
|
(195)
|
|
Amounts written-off
|
|
(139)
|
|
Other changes
|
|
(542)
|
|
Defaulted exposures at end of period
|
|
2,917
|
|
Credit Suisse actively mitigates credit exposure through the use of legal netting agreements, security over supporting financial and non-financial collateral or financial guarantees and through the use of credit hedging techniques, primarily credit default swaps (CDS). The recognition of credit risk mitigation (CRM) against exposures is governed by a robust set of policies and processes that ensure enforceability and effectiveness.
The following table presents the use of CRM techniques. Credit Suisse recognizes the CRM effect of eligible collateral either as a reduction from the exposure at default (EAD) value of the secured instrument or as an adjustment to the probability of default (PD) or loss given default (LGD) associated with the exposure. All exposures that are secured through eligible collateral are disclosed as “Net exposures partially or fully secured”. Eligible collateral amounts, regardless of which CRM technique has been applied, are disclosed as “Exposures secured by collateral”. Exposures secured by credit derivatives do not include certain immaterial positions, where the credit derivative is recognized with an adjustment to the LGD.
CR3 – CRM techniques
|
|
|
Net exposures
|
|
Exposures secured by
|
|
end of
|
|
Unsecured
|
|
Partially
or fully
secured
|
|
Total
|
|
Collateral
|
|
Financial
guarantees
|
|
Credit
derivatives
|
|
2Q19 (CHF million)
|
Loans 1
|
|
120,720
|
|
245,403
|
|
366,123
|
|
208,561
|
|
5,582
|
|
95
|
|
Debt securities
|
|
12,804
|
|
345
|
|
13,149
|
|
311
|
|
0
|
|
0
|
|
Total
|
|
133,524
|
|
245,748
|
|
379,272
|
|
208,872
|
|
5,582
|
|
95
|
|
of which defaulted
|
|
397
|
|
1,865
|
|
2,262
|
|
1,280
|
|
158
|
|
0
|
|
4Q18 (CHF million) 2
|
Loans 1
|
|
122,492
|
|
244,919
|
|
367,411
|
|
208,032
|
|
6,676
|
|
216
|
|
Debt securities
|
|
15,113
|
|
226
|
|
15,339
|
|
191
|
|
0
|
|
0
|
|
Total
|
|
137,605
|
|
245,145
|
|
382,750
|
|
208,223
|
|
6,676
|
|
216
|
|
of which defaulted
|
|
609
|
|
2,089
|
|
2,698
|
|
1,682
|
|
162
|
|
0
|
|
1
Loans include all on-balance sheet exposures that give rise to a credit risk charge and exclude debt securities, derivatives, securities financing transactions and off-balance sheet exposures.
|
2
Prior period has been corrected.
|
Credit risk under the standardized approach
Exposures and risk-weighted assets under the standardized approach as of the end of 2Q19 increased compared to the end of 4Q18. The increase was primarily due to the application of the standardized approach for exposures, which were previously captured under the IRB approach.
Credit risk exposure and CRM effects
The following table presents the effect of CRM (comprehensive and simple approach) on the standardized approach capital requirements’ calculations. RWA density provides a synthetic metric on the riskiness of each portfolio.
CR4 – Credit risk exposure and CRM effects
|
|
|
Exposures pre-CCF and CRM
|
|
Exposures post-CCF and CRM
|
|
|
|
end of
|
|
On-balance
sheet
|
|
Off-balance
sheet
|
|
Total
|
|
On-balance
sheet
|
|
Off-balance
sheet
|
|
Total
|
|
RWA
|
|
RWA
density
|
|
2Q19 (CHF million)
|
Sovereigns
|
|
67,825
|
|
0
|
|
67,825
|
|
68,044
|
|
5
|
|
68,049
|
|
806
|
|
1%
|
|
Institutions - Banks and securities dealer
|
|
1,167
|
|
618
|
|
1,785
|
|
1,146
|
|
300
|
|
1,446
|
|
307
|
|
21%
|
|
Institutions - Other institutions
|
|
76
|
|
0
|
|
76
|
|
76
|
|
0
|
|
76
|
|
76
|
|
100%
|
|
Corporates
|
|
7,719
|
|
7,196
|
|
14,915
|
|
7,018
|
|
2,228
|
|
9,246
|
|
7,518
|
|
81%
|
|
Retail
|
|
1,088
|
|
152
|
|
1,240
|
|
1,088
|
|
152
|
|
1,240
|
|
1,071
|
|
86%
|
|
Other exposures
|
|
17,485
|
|
1,940
|
|
19,425
|
|
16,216
|
|
1,750
|
|
17,966
|
|
14,099
|
|
78%
|
|
of which non-counterparty related assets
|
|
7,815
|
|
0
|
|
7,815
|
|
7,815
|
|
0
|
|
7,815
|
|
7,815
|
|
100%
|
|
Total
|
|
95,360
|
|
9,906
|
|
105,266
|
|
93,588
|
|
4,435
|
|
98,023
|
|
23,877
|
|
24%
|
|
4Q18 (CHF million)
|
Sovereigns
|
|
14,083
|
|
0
|
|
14,083
|
|
14,083
|
|
0
|
|
14,083
|
|
301
|
|
2%
|
|
Institutions - Banks and securities dealer
|
|
453
|
|
526
|
|
979
|
|
453
|
|
263
|
|
716
|
|
143
|
|
20%
|
|
Corporates
|
|
714
|
|
0
|
|
714
|
|
714
|
|
0
|
|
714
|
|
639
|
|
89%
|
|
Retail
|
|
1,037
|
|
114
|
|
1,151
|
|
1,037
|
|
114
|
|
1,151
|
|
1,052
|
|
91%
|
|
Other exposures
|
|
12,290
|
|
2,125
|
|
14,415
|
|
12,269
|
|
2,121
|
|
14,390
|
|
11,055
|
|
77%
|
|
of which non-counterparty related assets
|
|
5,247
|
|
0
|
|
5,247
|
|
5,247
|
|
0
|
|
5,247
|
|
5,247
|
|
100%
|
|
Total
|
|
28,577
|
|
2,765
|
|
31,342
|
|
28,556
|
|
2,498
|
|
31,054
|
|
13,190
|
|
42%
|
|
Exposures by asset class and risk weight
The following table presents the breakdown of credit exposures by asset class and risk weight, which correspond to the riskiness attributed to the exposure according to the standardized approach.
CR5 – Exposures by asset class and risk weight
|
|
|
Risk weight
|
|
|
|
end of
|
|
0%
|
|
20%
|
|
50%
|
|
75%
|
|
100%
|
|
150%
|
|
Others
|
|
Exposures
post-CCF
and CRM
|
|
2Q19 (CHF million)
|
Sovereigns
|
|
66,764
|
|
605
|
|
304
|
|
0
|
|
62
|
|
314
|
|
0
|
|
68,049
|
|
Institutions - Banks and securities dealer
|
|
0
|
|
1,395
|
|
46
|
|
0
|
|
5
|
|
0
|
|
0
|
|
1,446
|
|
Institutions - Other institutions
|
|
0
|
|
0
|
|
0
|
|
0
|
|
76
|
|
0
|
|
0
|
|
76
|
|
Corporates
|
|
0
|
|
1,076
|
|
1,975
|
|
0
|
|
5,957
|
|
238
|
|
0
|
|
9,246
|
|
Retail
|
|
0
|
|
0
|
|
0
|
|
675
|
|
565
|
|
0
|
|
0
|
|
1,240
|
|
Other exposures
|
|
3,890
|
|
1
|
|
0
|
|
0
|
|
14,068
|
|
0
|
|
7
|
|
17,966
|
|
of which non-counterparty related assets
|
|
0
|
|
0
|
|
0
|
|
0
|
|
7,815
|
|
0
|
|
0
|
|
7,815
|
|
Total
|
|
70,654
|
|
3,077
|
|
2,325
|
|
675
|
|
20,733
|
|
552
|
|
7
|
|
98,023
|
|
of which past due
|
|
0
|
|
0
|
|
0
|
|
0
|
|
48
|
|
406
|
|
0
|
|
454
|
|
4Q18 (CHF million)
|
Sovereigns
|
|
13,142
|
|
572
|
|
365
|
|
0
|
|
4
|
|
0
|
|
0
|
|
14,083
|
|
Institutions - Banks and securities dealer
|
|
0
|
|
716
|
|
0
|
|
0
|
|
0
|
|
0
|
|
0
|
|
716
|
|
Corporates
|
|
0
|
|
33
|
|
97
|
|
0
|
|
584
|
|
0
|
|
0
|
|
714
|
|
Retail
|
|
0
|
|
0
|
|
0
|
|
395
|
|
756
|
|
0
|
|
0
|
|
1,151
|
|
Other exposures
|
|
3,366
|
|
1
|
|
0
|
|
0
|
|
11,012
|
|
0
|
|
11
|
|
14,390
|
|
of which non-counterparty related assets
|
|
0
|
|
0
|
|
0
|
|
0
|
|
5,247
|
|
0
|
|
0
|
|
5,247
|
|
Total
|
|
16,508
|
|
1,322
|
|
462
|
|
395
|
|
12,356
|
|
0
|
|
11
|
|
31,054
|
|
Credit risk under internal risk-based approaches
Credit risk exposures by portfolio and PD range
The following table presents the main parameters used for the calculation of capital requirements for IRB models.
CR6 – Credit risk exposures by portfolio and PD range
|
end of 2Q19
|
|
Original
on-balance
sheet gross exposure
|
|
Off-balance
sheet exposures
pre CCF
|
|
Total
exposures
|
|
Average
CCF
|
|
EAD post-
CRM and
post-CCF
|
1
|
Average
PD
|
|
Number
of
obligors
|
|
Average
LGD
|
|
Average
maturity
(years)
|
|
RWA
|
2
|
RWA
density
|
|
Expected
loss
|
|
Provisions
|
|
Sovereigns (CHF million, except where indicated)
|
0.00% to <0.15%
|
|
18,110
|
|
336
|
|
18,446
|
|
100%
|
|
18,382
|
|
0.03%
|
|
56
|
|
6%
|
|
1.2
|
|
351
|
|
2%
|
|
0
|
|
–
|
|
0.15% to <0.25%
|
|
89
|
|
87
|
|
176
|
|
100%
|
|
160
|
|
0.22%
|
|
6
|
|
47%
|
|
3.0
|
|
92
|
|
57%
|
|
0
|
|
–
|
|
0.25% to <0.50%
|
|
93
|
|
0
|
|
93
|
|
100%
|
|
93
|
|
0.37%
|
|
8
|
|
51%
|
|
2.0
|
|
63
|
|
68%
|
|
0
|
|
–
|
|
0.50% to <0.75%
|
|
29
|
|
0
|
|
29
|
|
0%
|
|
29
|
|
0.64%
|
|
21
|
|
42%
|
|
4.8
|
|
31
|
|
105%
|
|
0
|
|
–
|
|
0.75% to <2.50%
|
|
179
|
|
19
|
|
198
|
|
41%
|
|
183
|
|
1.54%
|
|
12
|
|
53%
|
|
1.2
|
|
201
|
|
110%
|
|
2
|
|
–
|
|
2.50% to <10.00%
|
|
1,218
|
|
0
|
|
1,218
|
|
100%
|
|
321
|
|
6.63%
|
|
19
|
|
51%
|
|
2.8
|
|
661
|
|
206%
|
|
12
|
|
–
|
|
10.00% to <100.00%
|
|
28
|
|
0
|
|
28
|
|
55%
|
|
28
|
|
16.44%
|
|
1
|
|
58%
|
|
3.5
|
|
91
|
|
325%
|
|
3
|
|
–
|
|
100.00% (Default)
|
|
261
|
|
0
|
|
261
|
|
0%
|
|
17
|
|
100.00%
|
|
1
|
|
58%
|
|
1.7
|
|
18
|
|
106%
|
|
0
|
|
–
|
|
Sub-total
|
|
20,007
|
|
442
|
|
20,449
|
|
99%
|
|
19,213
|
|
0.27%
|
|
124
|
|
8%
|
|
1.2
|
|
1,508
|
|
8%
|
|
17
|
|
0
|
|
Institutions - Banks and securities dealer
|
0.00% to <0.15%
|
|
9,289
|
|
837
|
|
10,126
|
|
59%
|
|
11,695
|
|
0.06%
|
|
672
|
|
53%
|
|
0.7
|
|
1,981
|
|
17%
|
|
4
|
|
–
|
|
0.15% to <0.25%
|
|
132
|
|
88
|
|
220
|
|
56%
|
|
335
|
|
0.22%
|
|
85
|
|
50%
|
|
1.2
|
|
159
|
|
48%
|
|
0
|
|
–
|
|
0.25% to <0.50%
|
|
1,116
|
|
305
|
|
1,421
|
|
63%
|
|
1,204
|
|
0.37%
|
|
181
|
|
58%
|
|
1.2
|
|
856
|
|
71%
|
|
2
|
|
–
|
|
0.50% to <0.75%
|
|
161
|
|
107
|
|
268
|
|
66%
|
|
256
|
|
0.61%
|
|
98
|
|
45%
|
|
0.6
|
|
181
|
|
71%
|
|
1
|
|
–
|
|
0.75% to <2.50%
|
|
229
|
|
304
|
|
533
|
|
57%
|
|
338
|
|
1.58%
|
|
91
|
|
56%
|
|
1.4
|
|
478
|
|
141%
|
|
3
|
|
–
|
|
2.50% to <10.00%
|
|
353
|
|
427
|
|
780
|
|
43%
|
|
295
|
|
5.74%
|
|
96
|
|
49%
|
|
1.6
|
|
540
|
|
183%
|
|
9
|
|
–
|
|
10.00% to <100.00%
|
|
16
|
|
20
|
|
36
|
|
20%
|
|
6
|
|
16.44%
|
|
5
|
|
53%
|
|
0.5
|
|
16
|
|
256%
|
|
1
|
|
–
|
|
100.00% (Default)
|
|
14
|
|
0
|
|
14
|
|
0%
|
|
14
|
|
100.00%
|
|
3
|
|
0%
|
|
2.7
|
|
7
|
|
48%
|
|
34
|
|
–
|
|
Sub-total
|
|
11,310
|
|
2,088
|
|
13,398
|
|
58%
|
|
14,143
|
|
0.36%
|
|
1,231
|
|
53%
|
|
0.8
|
|
4,218
|
|
30%
|
|
54
|
|
34
|
|
Institutions - Other institutions
|
0.00% to <0.15%
|
|
665
|
|
2,120
|
|
2,785
|
|
98%
|
|
1,202
|
|
0.04%
|
|
422
|
|
43%
|
|
1.6
|
|
165
|
|
14%
|
|
0
|
|
–
|
|
0.15% to <0.25%
|
|
16
|
|
4
|
|
20
|
|
100%
|
|
17
|
|
0.23%
|
|
15
|
|
33%
|
|
1.9
|
|
7
|
|
42%
|
|
0
|
|
–
|
|
0.25% to <0.50%
|
|
39
|
|
2
|
|
41
|
|
94%
|
|
40
|
|
0.36%
|
|
9
|
|
50%
|
|
1.0
|
|
24
|
|
61%
|
|
0
|
|
–
|
|
0.50% to <0.75%
|
|
2
|
|
0
|
|
2
|
|
51%
|
|
2
|
|
0.58%
|
|
46
|
|
50%
|
|
0.6
|
|
1
|
|
73%
|
|
0
|
|
–
|
|
0.75% to <2.50%
|
|
0
|
|
0
|
|
0
|
|
100%
|
|
0
|
|
0.96%
|
|
11
|
|
39%
|
|
1.3
|
|
0
|
|
68%
|
|
0
|
|
–
|
|
2.50% to <10.00%
|
|
25
|
|
2
|
|
27
|
|
75%
|
|
29
|
|
3.34%
|
|
4
|
|
15%
|
|
4.7
|
|
16
|
|
55%
|
|
0
|
|
–
|
|
10.00% to <100.00%
|
|
0
|
|
0
|
|
0
|
|
0%
|
|
0
|
|
0.00%
|
|
0
|
|
0%
|
|
0.0
|
|
0
|
|
0%
|
|
0
|
|
–
|
|
100.00% (Default)
|
|
0
|
|
0
|
|
0
|
|
0%
|
|
0
|
|
0.00%
|
|
0
|
|
0%
|
|
0.0
|
|
0
|
|
0%
|
|
0
|
|
–
|
|
Sub-total
|
|
747
|
|
2,128
|
|
2,875
|
|
98%
|
|
1,290
|
|
0.13%
|
|
507
|
|
43%
|
|
1.7
|
|
213
|
|
17%
|
|
0
|
|
0
|
|
Corporates - Specialized lending
|
0.00% to <0.15%
|
|
6,655
|
|
1,881
|
|
8,536
|
|
100%
|
|
7,508
|
|
0.06%
|
|
831
|
|
29%
|
|
2.1
|
|
1,510
|
|
20%
|
|
1
|
|
–
|
|
0.15% to <0.25%
|
|
5,503
|
|
1,361
|
|
6,864
|
|
97%
|
|
6,058
|
|
0.21%
|
|
753
|
|
28%
|
|
2.4
|
|
2,272
|
|
38%
|
|
3
|
|
–
|
|
0.25% to <0.50%
|
|
3,066
|
|
1,017
|
|
4,083
|
|
94%
|
|
3,526
|
|
0.36%
|
|
513
|
|
28%
|
|
2.3
|
|
1,761
|
|
50%
|
|
4
|
|
–
|
|
0.50% to <0.75%
|
|
3,108
|
|
2,262
|
|
5,370
|
|
70%
|
|
3,824
|
|
0.58%
|
|
388
|
|
24%
|
|
1.9
|
|
1,618
|
|
42%
|
|
5
|
|
–
|
|
0.75% to <2.50%
|
|
8,930
|
|
2,834
|
|
11,764
|
|
76%
|
|
9,927
|
|
1.41%
|
|
735
|
|
19%
|
|
2.6
|
|
4,930
|
|
50%
|
|
25
|
|
–
|
|
2.50% to <10.00%
|
|
2,389
|
|
393
|
|
2,782
|
|
92%
|
|
2,548
|
|
4.59%
|
|
131
|
|
12%
|
|
3.4
|
|
1,091
|
|
43%
|
|
14
|
|
–
|
|
10.00% to <100.00%
|
|
143
|
|
0
|
|
143
|
|
100%
|
|
142
|
|
12.87%
|
|
7
|
|
14%
|
|
2.9
|
|
98
|
|
69%
|
|
3
|
|
–
|
|
100.00% (Default)
|
|
586
|
|
9
|
|
595
|
|
88%
|
|
467
|
|
100.00%
|
|
40
|
|
16%
|
|
2.8
|
|
495
|
|
106%
|
|
122
|
|
–
|
|
Sub-total
|
|
30,380
|
|
9,757
|
|
40,137
|
|
86%
|
|
34,000
|
|
2.34%
|
|
3,398
|
|
24%
|
|
2.4
|
|
13,775
|
|
41%
|
|
177
|
|
122
|
|
1
CRM is reflected by shifting the counterparty exposure from the underlying obligor to the protection provider.
|
2
Reflects risk-weighted assets post CCF.
|
Total exposures decreased 10% compared to the end of 4Q18, primarily due to the application of the standardized approach for exposures, which were previously captured under the IRB approach.
CR6 – Credit risk exposures by portfolio and PD range (continued)
|
end of 2Q19
|
|
Original
on-balance
sheet gross exposure
|
|
Off-balance
sheet exposures
pre CCF
|
|
Total
exposures
|
|
Average
CCF
|
|
EAD post-
CRM and
post-CCF
|
1
|
Average
PD
|
|
Number
of
obligors
|
|
Average
LGD
|
|
Average
maturity
(years)
|
|
RWA
|
2
|
RWA
density
|
|
Expected
loss
|
|
Provisions
|
|
Corporates without specialized lending (CHF million, except where indicated)
|
0.00% to <0.15%
|
|
14,454
|
|
45,989
|
|
60,443
|
|
59%
|
|
36,703
|
|
0.07%
|
|
2,935
|
|
39%
|
|
2.4
|
|
8,076
|
|
22%
|
|
10
|
|
–
|
|
0.15% to <0.25%
|
|
4,587
|
|
9,000
|
|
13,587
|
|
67%
|
|
7,849
|
|
0.21%
|
|
1,223
|
|
37%
|
|
2.4
|
|
3,063
|
|
39%
|
|
6
|
|
–
|
|
0.25% to <0.50%
|
|
5,939
|
|
7,172
|
|
13,111
|
|
61%
|
|
8,695
|
|
0.37%
|
|
1,763
|
|
36%
|
|
2.7
|
|
4,708
|
|
54%
|
|
12
|
|
–
|
|
0.50% to <0.75%
|
|
5,374
|
|
6,816
|
|
12,190
|
|
53%
|
|
7,837
|
|
0.62%
|
|
1,367
|
|
40%
|
|
2.4
|
|
5,325
|
|
68%
|
|
19
|
|
–
|
|
0.75% to <2.50%
|
|
12,237
|
|
14,518
|
|
26,755
|
|
51%
|
|
16,879
|
|
1.52%
|
|
1,926
|
|
40%
|
|
2.3
|
|
17,279
|
|
102%
|
|
105
|
|
–
|
|
2.50% to <10.00%
|
|
8,481
|
|
17,857
|
|
26,338
|
|
51%
|
|
13,885
|
|
5.77%
|
|
1,588
|
|
34%
|
|
2.8
|
|
24,369
|
|
176%
|
|
271
|
|
–
|
|
10.00% to <100.00%
|
|
1,145
|
|
484
|
|
1,629
|
|
60%
|
|
1,217
|
|
19.12%
|
|
78
|
|
34%
|
|
2.3
|
|
2,744
|
|
225%
|
|
77
|
|
–
|
|
100.00% (Default)
|
|
760
|
|
229
|
|
989
|
|
73%
|
|
687
|
|
100.00%
|
|
170
|
|
52%
|
|
2.4
|
|
667
|
|
97%
|
|
212
|
|
–
|
|
Sub-total
|
|
52,977
|
|
102,065
|
|
155,042
|
|
57%
|
|
93,752
|
|
2.24%
|
|
11,050
|
|
38%
|
|
2.5
|
|
66,231
|
|
71%
|
|
712
|
|
239
|
|
Residential mortgages
|
0.00% to <0.15%
|
|
28,235
|
|
1,723
|
|
29,958
|
|
100%
|
|
29,707
|
|
0.09%
|
|
43,783
|
|
15%
|
|
2.9
|
|
2,136
|
|
7%
|
|
4
|
|
–
|
|
0.15% to <0.25%
|
|
30,525
|
|
1,878
|
|
32,403
|
|
100%
|
|
31,261
|
|
0.18%
|
|
38,438
|
|
15%
|
|
2.9
|
|
4,154
|
|
13%
|
|
9
|
|
–
|
|
0.25% to <0.50%
|
|
39,165
|
|
2,475
|
|
41,640
|
|
100%
|
|
40,276
|
|
0.31%
|
|
52,143
|
|
15%
|
|
2.9
|
|
7,789
|
|
19%
|
|
19
|
|
–
|
|
0.50% to <0.75%
|
|
6,394
|
|
534
|
|
6,928
|
|
100%
|
|
5,682
|
|
0.58%
|
|
6,999
|
|
17%
|
|
2.7
|
|
1,947
|
|
34%
|
|
6
|
|
–
|
|
0.75% to <2.50%
|
|
5,207
|
|
710
|
|
5,917
|
|
100%
|
|
5,401
|
|
1.22%
|
|
7,247
|
|
18%
|
|
2.6
|
|
3,119
|
|
58%
|
|
11
|
|
–
|
|
2.50% to <10.00%
|
|
517
|
|
36
|
|
553
|
|
100%
|
|
519
|
|
4.28%
|
|
843
|
|
18%
|
|
2.3
|
|
618
|
|
119%
|
|
4
|
|
–
|
|
10.00% to <100.00%
|
|
39
|
|
0
|
|
39
|
|
100%
|
|
39
|
|
18.79%
|
|
50
|
|
19%
|
|
2.0
|
|
88
|
|
226%
|
|
1
|
|
–
|
|
100.00% (Default)
|
|
515
|
|
9
|
|
524
|
|
100%
|
|
497
|
|
100.00%
|
|
283
|
|
17%
|
|
1.5
|
|
527
|
|
106%
|
|
25
|
|
–
|
|
Sub-total
|
|
110,597
|
|
7,365
|
|
117,962
|
|
100%
|
|
113,382
|
|
0.73%
|
|
149,786
|
|
15%
|
|
2.8
|
|
20,378
|
|
18%
|
|
79
|
|
25
|
|
Qualifying revolving retail
|
0.75% to <2.50%
|
|
538
|
|
5,525
|
|
6,063
|
|
0%
|
|
566
|
|
1.30%
|
|
797,956
|
|
50%
|
|
1.0
|
|
140
|
|
25%
|
|
4
|
|
–
|
|
10.00% to <100.00%
|
|
108
|
|
1
|
|
109
|
|
43%
|
|
108
|
|
25.00%
|
|
86,359
|
|
35%
|
|
0.2
|
|
114
|
|
105%
|
|
9
|
|
–
|
|
100.00% (Default)
|
|
10
|
|
0
|
|
10
|
|
50%
|
|
5
|
|
100.00%
|
|
361
|
|
35%
|
|
0.2
|
|
5
|
|
106%
|
|
5
|
|
–
|
|
Sub-total
|
|
656
|
|
5,526
|
|
6,182
|
|
44%
|
|
679
|
|
5.81%
|
|
884,676
|
|
48%
|
|
0.9
|
|
259
|
|
38%
|
|
18
|
|
5
|
|
Other retail
|
0.00% to <0.15%
|
|
57,350
|
|
127,113
|
|
184,463
|
|
96%
|
|
66,609
|
|
0.04%
|
|
49,870
|
|
62%
|
|
1.4
|
|
5,336
|
|
8%
|
|
16
|
|
–
|
|
0.15% to <0.25%
|
|
4,292
|
|
8,117
|
|
12,409
|
|
91%
|
|
4,975
|
|
0.21%
|
|
3,589
|
|
38%
|
|
1.2
|
|
807
|
|
16%
|
|
4
|
|
–
|
|
0.25% to <0.50%
|
|
1,533
|
|
4,859
|
|
6,392
|
|
89%
|
|
2,335
|
|
0.35%
|
|
5,880
|
|
26%
|
|
1.3
|
|
379
|
|
16%
|
|
2
|
|
–
|
|
0.50% to <0.75%
|
|
476
|
|
1,224
|
|
1,700
|
|
91%
|
|
621
|
|
0.62%
|
|
11,732
|
|
40%
|
|
1.2
|
|
215
|
|
35%
|
|
2
|
|
–
|
|
0.75% to <2.50%
|
|
3,663
|
|
1,416
|
|
5,079
|
|
95%
|
|
3,935
|
|
1.58%
|
|
82,347
|
|
40%
|
|
2.4
|
|
2,102
|
|
53%
|
|
25
|
|
–
|
|
2.50% to <10.00%
|
|
3,997
|
|
1,161
|
|
5,158
|
|
99%
|
|
4,353
|
|
5.23%
|
|
85,444
|
|
40%
|
|
2.6
|
|
2,764
|
|
64%
|
|
90
|
|
–
|
|
10.00% to <100.00%
|
|
78
|
|
36
|
|
114
|
|
79%
|
|
81
|
|
12.91%
|
|
278
|
|
60%
|
|
1.6
|
|
95
|
|
117%
|
|
6
|
|
–
|
|
100.00% (Default)
|
|
310
|
|
128
|
|
438
|
|
98%
|
|
206
|
|
100.00%
|
|
5,513
|
|
75%
|
|
1.7
|
|
219
|
|
106%
|
|
160
|
|
–
|
|
Sub-total
|
|
71,699
|
|
144,054
|
|
215,753
|
|
95%
|
|
83,115
|
|
0.67%
|
|
244,653
|
|
58%
|
|
1.5
|
|
11,917
|
|
14%
|
|
305
|
|
159
|
|
Sub-total (all portfolios)
|
0.00% to <0.15%
|
|
134,758
|
|
179,999
|
|
314,757
|
|
71%
|
|
171,806
|
|
0.06%
|
|
98,569
|
|
41%
|
|
1.8
|
|
19,555
|
|
11%
|
|
35
|
|
–
|
|
0.15% to <0.25%
|
|
45,144
|
|
20,535
|
|
65,679
|
|
78%
|
|
50,655
|
|
0.19%
|
|
44,109
|
|
23%
|
|
2.6
|
|
10,554
|
|
21%
|
|
22
|
|
–
|
|
0.25% to <0.50%
|
|
50,951
|
|
15,830
|
|
66,781
|
|
76%
|
|
56,169
|
|
0.32%
|
|
60,497
|
|
21%
|
|
2.7
|
|
15,580
|
|
28%
|
|
39
|
|
–
|
|
0.50% to <0.75%
|
|
15,544
|
|
10,943
|
|
26,487
|
|
60%
|
|
18,251
|
|
0.60%
|
|
20,651
|
|
29%
|
|
2.3
|
|
9,318
|
|
51%
|
|
33
|
|
–
|
|
0.75% to <2.50%
|
|
30,983
|
|
25,326
|
|
56,309
|
|
58%
|
|
37,229
|
|
1.45%
|
|
890,325
|
|
32%
|
|
2.4
|
|
28,249
|
|
76%
|
|
175
|
|
–
|
|
2.50% to <10.00%
|
|
16,980
|
|
19,876
|
|
36,856
|
|
55%
|
|
21,950
|
|
5.50%
|
|
88,125
|
|
32%
|
|
2.8
|
|
30,059
|
|
137%
|
|
400
|
|
–
|
|
10.00% to <100.00%
|
|
1,557
|
|
541
|
|
2,098
|
|
59%
|
|
1,621
|
|
18.59%
|
|
86,778
|
|
34%
|
|
2.2
|
|
3,246
|
|
200%
|
|
100
|
|
–
|
|
100.00% (Default)
|
|
2,456
|
|
375
|
|
2,831
|
|
80%
|
|
1,893
|
|
100.00%
|
|
6,371
|
|
36%
|
|
2.2
|
|
1,938
|
|
102%
|
|
558
|
|
–
|
|
Sub-total (all portfolios)
|
|
298,373
|
|
273,425
|
|
571,798
|
|
68%
|
|
359,574
|
|
1.23%
|
|
1,295,425
|
|
33%
|
|
2.2
|
|
118,499
|
|
33%
|
|
1,362
|
|
584
|
|
Alternative treatment
|
Exposures from free deliveries applying standardized risk weights or 100% under the alternative treatment
|
|
9
|
|
–
|
|
9
|
|
–
|
|
9
|
|
–
|
|
–
|
|
–
|
|
–
|
|
7
|
|
–
|
|
–
|
|
–
|
|
IRB - maturity and export finance buffer
|
|
–
|
|
–
|
|
–
|
|
–
|
|
–
|
|
–
|
|
–
|
|
–
|
|
–
|
|
1,555
|
|
–
|
|
–
|
|
–
|
|
Total (all portfolios and alternative treatment)
|
|
298,382
|
|
273,425
|
|
571,807
|
|
68%
|
|
359,583
|
|
1.23%
|
|
1,295,425
|
|
33%
|
|
2.2
|
|
120,061
|
|
33%
|
|
1,362
|
|
584
|
|
1
CRM is reflected by shifting the counterparty exposure from the underlying obligor to the protection provider.
|
2
Reflects risk-weighted assets post CCF.
|
CR6 – Credit risk exposures by portfolio and PD range
|
end of 4Q18
|
|
Original
on-balance
sheet gross exposure
|
|
Off-balance
sheet exposures
pre CCF
|
|
Total
exposures
|
|
Average
CCF
|
|
EAD post-
CRM and
post-CCF
|
1
|
Average
PD
|
|
Number
of
obligors
|
|
Average
LGD
|
|
Average
maturity
(years)
|
|
RWA
|
2
|
RWA
density
|
|
Expected
loss
|
|
Provisions
|
|
Sovereigns (CHF million, except where indicated)
|
0.00% to <0.15%
|
|
81,810
|
|
509
|
|
82,319
|
|
88%
|
|
82,440
|
|
0.02%
|
|
68
|
|
4%
|
|
1.2
|
|
1,048
|
|
1%
|
|
1
|
|
–
|
|
0.15% to <0.25%
|
|
92
|
|
16
|
|
108
|
|
0%
|
|
92
|
|
0.22%
|
|
9
|
|
51%
|
|
3.0
|
|
59
|
|
63%
|
|
0
|
|
–
|
|
0.25% to <0.50%
|
|
530
|
|
0
|
|
530
|
|
100%
|
|
406
|
|
0.37%
|
|
7
|
|
51%
|
|
1.4
|
|
233
|
|
57%
|
|
1
|
|
–
|
|
0.50% to <0.75%
|
|
32
|
|
0
|
|
32
|
|
0%
|
|
32
|
|
0.64%
|
|
24
|
|
42%
|
|
4.9
|
|
34
|
|
106%
|
|
0
|
|
–
|
|
0.75% to <2.50%
|
|
44
|
|
18
|
|
62
|
|
25%
|
|
48
|
|
1.40%
|
|
11
|
|
42%
|
|
1.0
|
|
41
|
|
87%
|
|
0
|
|
–
|
|
2.50% to <10.00%
|
|
1,305
|
|
5
|
|
1,310
|
|
79%
|
|
358
|
|
6.45%
|
|
24
|
|
51%
|
|
2.6
|
|
713
|
|
199%
|
|
13
|
|
–
|
|
100.00% (Default)
|
|
593
|
|
0
|
|
593
|
|
0%
|
|
346
|
|
100.00%
|
|
2
|
|
58%
|
|
3.8
|
|
367
|
|
106%
|
|
0
|
|
–
|
|
Sub-total
|
|
84,406
|
|
548
|
|
84,954
|
|
88%
|
|
83,722
|
|
0.47%
|
|
145
|
|
5%
|
|
1.2
|
|
2,495
|
|
3%
|
|
15
|
|
0
|
|
Institutions - Banks and securities dealer
|
0.00% to <0.15%
|
|
10,848
|
|
994
|
|
11,842
|
|
58%
|
|
12,870
|
|
0.06%
|
|
711
|
|
55%
|
|
0.6
|
|
2,014
|
|
16%
|
|
4
|
|
–
|
|
0.15% to <0.25%
|
|
105
|
|
87
|
|
192
|
|
50%
|
|
320
|
|
0.22%
|
|
82
|
|
49%
|
|
1.2
|
|
153
|
|
48%
|
|
0
|
|
–
|
|
0.25% to <0.50%
|
|
906
|
|
240
|
|
1,146
|
|
37%
|
|
980
|
|
0.37%
|
|
165
|
|
54%
|
|
1.4
|
|
645
|
|
66%
|
|
2
|
|
–
|
|
0.50% to <0.75%
|
|
132
|
|
192
|
|
324
|
|
79%
|
|
226
|
|
0.60%
|
|
107
|
|
47%
|
|
0.6
|
|
166
|
|
73%
|
|
1
|
|
–
|
|
0.75% to <2.50%
|
|
626
|
|
201
|
|
827
|
|
70%
|
|
626
|
|
1.25%
|
|
228
|
|
56%
|
|
0.8
|
|
620
|
|
99%
|
|
3
|
|
–
|
|
2.50% to <10.00%
|
|
599
|
|
290
|
|
889
|
|
48%
|
|
487
|
|
4.92%
|
|
116
|
|
51%
|
|
0.8
|
|
764
|
|
157%
|
|
13
|
|
–
|
|
10.00% to <100.00%
|
|
7
|
|
5
|
|
12
|
|
20%
|
|
8
|
|
16.44%
|
|
6
|
|
53%
|
|
0.2
|
|
21
|
|
255%
|
|
1
|
|
–
|
|
100.00% (Default)
|
|
21
|
|
1
|
|
22
|
|
50%
|
|
22
|
|
100.00%
|
|
7
|
|
55%
|
|
1.5
|
|
23
|
|
106%
|
|
34
|
|
–
|
|
Sub-total
|
|
13,244
|
|
2,010
|
|
15,254
|
|
57%
|
|
15,539
|
|
0.44%
|
|
1,422
|
|
54%
|
|
0.7
|
|
4,406
|
|
28%
|
|
58
|
|
34
|
|
Institutions - Other institutions
|
0.00% to <0.15%
|
|
533
|
|
2,008
|
|
2,541
|
|
92%
|
|
1,079
|
|
0.04%
|
|
428
|
|
43%
|
|
1.8
|
|
156
|
|
14%
|
|
0
|
|
–
|
|
0.15% to <0.25%
|
|
19
|
|
15
|
|
34
|
|
100%
|
|
23
|
|
0.21%
|
|
21
|
|
36%
|
|
1.9
|
|
9
|
|
40%
|
|
0
|
|
–
|
|
0.25% to <0.50%
|
|
18
|
|
1
|
|
19
|
|
85%
|
|
19
|
|
0.36%
|
|
11
|
|
49%
|
|
2.1
|
|
13
|
|
69%
|
|
0
|
|
–
|
|
0.50% to <0.75%
|
|
1
|
|
0
|
|
1
|
|
50%
|
|
1
|
|
0.58%
|
|
53
|
|
47%
|
|
1.2
|
|
1
|
|
72%
|
|
0
|
|
–
|
|
0.75% to <2.50%
|
|
0
|
|
1
|
|
1
|
|
100%
|
|
1
|
|
1.03%
|
|
19
|
|
41%
|
|
1.8
|
|
0
|
|
82%
|
|
0
|
|
–
|
|
2.50% to <10.00%
|
|
29
|
|
137
|
|
166
|
|
100%
|
|
48
|
|
5.08%
|
|
4
|
|
9%
|
|
4.9
|
|
17
|
|
36%
|
|
0
|
|
–
|
|
Sub-total
|
|
600
|
|
2,162
|
|
2,762
|
|
92%
|
|
1,171
|
|
0.26%
|
|
536
|
|
42%
|
|
1.9
|
|
196
|
|
17%
|
|
0
|
|
0
|
|
Corporates - Specialized lending
|
0.00% to <0.15%
|
|
7,198
|
|
2,210
|
|
9,408
|
|
100%
|
|
8,073
|
|
0.06%
|
|
854
|
|
28%
|
|
2.1
|
|
1,603
|
|
20%
|
|
1
|
|
–
|
|
0.15% to <0.25%
|
|
5,722
|
|
2,025
|
|
7,747
|
|
96%
|
|
6,608
|
|
0.22%
|
|
748
|
|
28%
|
|
2.3
|
|
2,455
|
|
37%
|
|
4
|
|
–
|
|
0.25% to <0.50%
|
|
3,252
|
|
1,470
|
|
4,722
|
|
95%
|
|
3,902
|
|
0.37%
|
|
559
|
|
28%
|
|
2.1
|
|
1,872
|
|
48%
|
|
4
|
|
–
|
|
0.50% to <0.75%
|
|
4,713
|
|
3,293
|
|
8,006
|
|
76%
|
|
5,839
|
|
0.58%
|
|
407
|
|
21%
|
|
2.0
|
|
2,141
|
|
37%
|
|
7
|
|
–
|
|
0.75% to <2.50%
|
|
9,558
|
|
3,173
|
|
12,731
|
|
74%
|
|
10,602
|
|
1.33%
|
|
792
|
|
18%
|
|
2.7
|
|
4,784
|
|
45%
|
|
25
|
|
–
|
|
2.50% to <10.00%
|
|
1,226
|
|
232
|
|
1,458
|
|
87%
|
|
1,315
|
|
4.59%
|
|
93
|
|
17%
|
|
3.0
|
|
776
|
|
59%
|
|
10
|
|
–
|
|
10.00% to <100.00%
|
|
100
|
|
0
|
|
100
|
|
0%
|
|
100
|
|
14.08%
|
|
4
|
|
18%
|
|
3.7
|
|
89
|
|
89%
|
|
3
|
|
–
|
|
100.00% (Default)
|
|
642
|
|
16
|
|
658
|
|
89%
|
|
559
|
|
100.00%
|
|
45
|
|
17%
|
|
2.7
|
|
593
|
|
106%
|
|
90
|
|
–
|
|
Sub-total
|
|
32,411
|
|
12,419
|
|
44,830
|
|
87%
|
|
36,998
|
|
2.27%
|
|
3,502
|
|
24%
|
|
2.3
|
|
14,313
|
|
39%
|
|
144
|
|
90
|
|
1
CRM is reflected by shifting the counterparty exposure from the underlying obligor to the protection provider.
|
2
Reflects risk-weighted assets post CCF.
|
CR6 – Credit risk exposures by portfolio and PD range (continued)
|
end of 4Q18
|
|
Original
on-balance
sheet gross exposure
|
|
Off-balance
sheet exposures
pre CCF
|
|
Total
exposures
|
|
Average
CCF
|
|
EAD post-
CRM and
post-CCF
|
1
|
Average
PD
|
|
Number
of
obligors
|
|
Average
LGD
|
|
Average
maturity
(years)
|
|
RWA
|
2
|
RWA
density
|
|
Expected
loss
|
|
Provisions
|
|
Corporates without specialized lending (CHF million, except where indicated)
|
0.00% to <0.15%
|
|
16,554
|
|
47,886
|
|
64,440
|
|
58%
|
|
41,471
|
|
0.07%
|
|
2,885
|
|
41%
|
|
2.4
|
|
9,591
|
|
23%
|
|
11
|
|
–
|
|
0.15% to <0.25%
|
|
5,059
|
|
9,556
|
|
14,615
|
|
63%
|
|
8,447
|
|
0.21%
|
|
1,267
|
|
38%
|
|
2.5
|
|
3,603
|
|
43%
|
|
7
|
|
–
|
|
0.25% to <0.50%
|
|
7,934
|
|
7,026
|
|
14,960
|
|
61%
|
|
10,688
|
|
0.37%
|
|
1,759
|
|
39%
|
|
2.6
|
|
5,896
|
|
55%
|
|
15
|
|
–
|
|
0.50% to <0.75%
|
|
6,317
|
|
8,072
|
|
14,389
|
|
49%
|
|
9,200
|
|
0.62%
|
|
1,352
|
|
41%
|
|
2.3
|
|
6,415
|
|
70%
|
|
23
|
|
–
|
|
0.75% to <2.50%
|
|
11,124
|
|
10,877
|
|
22,001
|
|
63%
|
|
15,490
|
|
1.51%
|
|
2,958
|
|
41%
|
|
2.5
|
|
15,304
|
|
99%
|
|
90
|
|
–
|
|
2.50% to <10.00%
|
|
9,672
|
|
20,179
|
|
29,851
|
|
52%
|
|
15,192
|
|
5.54%
|
|
2,428
|
|
35%
|
|
2.8
|
|
26,759
|
|
176%
|
|
297
|
|
–
|
|
10.00% to <100.00%
|
|
847
|
|
525
|
|
1,372
|
|
69%
|
|
928
|
|
17.41%
|
|
85
|
|
28%
|
|
2.6
|
|
1,835
|
|
198%
|
|
43
|
|
–
|
|
100.00% (Default)
|
|
887
|
|
169
|
|
1,056
|
|
61%
|
|
734
|
|
100.00%
|
|
209
|
|
38%
|
|
1.9
|
|
767
|
|
104%
|
|
291
|
|
–
|
|
Sub-total
|
|
58,394
|
|
104,290
|
|
162,684
|
|
58%
|
|
102,150
|
|
2.06%
|
|
12,943
|
|
39%
|
|
2.5
|
|
70,170
|
|
69%
|
|
777
|
|
309
|
|
Residential mortgages
|
0.00% to <0.15%
|
|
30,432
|
|
1,593
|
|
32,025
|
|
100%
|
|
31,955
|
|
0.08%
|
|
46,406
|
|
15%
|
|
2.8
|
|
2,139
|
|
7%
|
|
4
|
|
–
|
|
0.15% to <0.25%
|
|
30,579
|
|
1,812
|
|
32,391
|
|
100%
|
|
31,284
|
|
0.18%
|
|
40,134
|
|
15%
|
|
2.8
|
|
3,940
|
|
13%
|
|
9
|
|
–
|
|
0.25% to <0.50%
|
|
36,045
|
|
2,291
|
|
38,336
|
|
100%
|
|
37,069
|
|
0.31%
|
|
48,313
|
|
15%
|
|
2.9
|
|
6,749
|
|
18%
|
|
17
|
|
–
|
|
0.50% to <0.75%
|
|
6,113
|
|
626
|
|
6,739
|
|
100%
|
|
5,425
|
|
0.59%
|
|
6,757
|
|
17%
|
|
2.6
|
|
1,776
|
|
33%
|
|
6
|
|
–
|
|
0.75% to <2.50%
|
|
4,728
|
|
854
|
|
5,582
|
|
100%
|
|
4,992
|
|
1.24%
|
|
6,803
|
|
18%
|
|
2.5
|
|
2,725
|
|
55%
|
|
11
|
|
–
|
|
2.50% to <10.00%
|
|
504
|
|
66
|
|
570
|
|
100%
|
|
509
|
|
4.42%
|
|
844
|
|
18%
|
|
2.3
|
|
575
|
|
113%
|
|
4
|
|
–
|
|
10.00% to <100.00%
|
|
51
|
|
0
|
|
51
|
|
100%
|
|
51
|
|
17.83%
|
|
69
|
|
19%
|
|
1.9
|
|
112
|
|
219%
|
|
2
|
|
–
|
|
100.00% (Default)
|
|
494
|
|
12
|
|
506
|
|
100%
|
|
478
|
|
100.00%
|
|
269
|
|
17%
|
|
1.7
|
|
507
|
|
106%
|
|
25
|
|
–
|
|
Sub-total
|
|
108,946
|
|
7,254
|
|
116,200
|
|
100%
|
|
111,763
|
|
0.72%
|
|
149,595
|
|
15%
|
|
2.8
|
|
18,523
|
|
17%
|
|
78
|
|
25
|
|
Qualifying revolving retail
|
0.75% to <2.50%
|
|
443
|
|
5,584
|
|
6,027
|
|
0%
|
|
589
|
|
1.30%
|
|
808,274
|
|
50%
|
|
1.0
|
|
146
|
|
25%
|
|
4
|
|
–
|
|
10.00% to <100.00%
|
|
94
|
|
0
|
|
94
|
|
73%
|
|
95
|
|
25.00%
|
|
93,274
|
|
35%
|
|
0.2
|
|
100
|
|
105%
|
|
8
|
|
–
|
|
100.00% (Default)
|
|
9
|
|
0
|
|
9
|
|
0%
|
|
4
|
|
100.00%
|
|
343
|
|
35%
|
|
0.2
|
|
4
|
|
106%
|
|
5
|
|
–
|
|
Sub-total
|
|
546
|
|
5,584
|
|
6,130
|
|
73%
|
|
688
|
|
5.14%
|
|
901,891
|
|
48%
|
|
0.9
|
|
250
|
|
36%
|
|
17
|
|
5
|
|
Other retail
|
0.00% to <0.15%
|
|
53,913
|
|
117,261
|
|
171,174
|
|
95%
|
|
62,468
|
|
0.04%
|
|
49,894
|
|
63%
|
|
1.4
|
|
5,260
|
|
8%
|
|
18
|
|
–
|
|
0.15% to <0.25%
|
|
3,657
|
|
7,860
|
|
11,517
|
|
90%
|
|
4,426
|
|
0.19%
|
|
3,589
|
|
42%
|
|
1.4
|
|
753
|
|
17%
|
|
3
|
|
–
|
|
0.25% to <0.50%
|
|
1,486
|
|
3,695
|
|
5,181
|
|
80%
|
|
2,038
|
|
0.36%
|
|
5,612
|
|
31%
|
|
1.4
|
|
397
|
|
19%
|
|
2
|
|
–
|
|
0.50% to <0.75%
|
|
727
|
|
810
|
|
1,537
|
|
94%
|
|
890
|
|
0.61%
|
|
11,640
|
|
40%
|
|
1.3
|
|
301
|
|
34%
|
|
2
|
|
–
|
|
0.75% to <2.50%
|
|
4,230
|
|
1,499
|
|
5,729
|
|
95%
|
|
4,481
|
|
1.62%
|
|
80,595
|
|
44%
|
|
2.3
|
|
2,493
|
|
56%
|
|
31
|
|
–
|
|
2.50% to <10.00%
|
|
3,362
|
|
770
|
|
4,132
|
|
98%
|
|
3,666
|
|
5.19%
|
|
85,017
|
|
40%
|
|
2.7
|
|
2,278
|
|
62%
|
|
76
|
|
–
|
|
10.00% to <100.00%
|
|
25
|
|
60
|
|
85
|
|
90%
|
|
38
|
|
14.02%
|
|
260
|
|
53%
|
|
1.9
|
|
39
|
|
102%
|
|
3
|
|
–
|
|
100.00% (Default)
|
|
531
|
|
84
|
|
615
|
|
90%
|
|
389
|
|
100.00%
|
|
5,582
|
|
70%
|
|
1.5
|
|
412
|
|
106%
|
|
177
|
|
–
|
|
Sub-total
|
|
67,931
|
|
132,039
|
|
199,970
|
|
94%
|
|
78,396
|
|
0.90%
|
|
242,189
|
|
58%
|
|
1.5
|
|
11,933
|
|
15%
|
|
312
|
|
177
|
|
Sub-total (all portfolios)
|
0.00% to <0.15%
|
|
201,288
|
|
172,461
|
|
373,749
|
|
69%
|
|
240,356
|
|
0.05%
|
|
101,246
|
|
31%
|
|
1.7
|
|
21,811
|
|
9%
|
|
39
|
|
–
|
|
0.15% to <0.25%
|
|
45,233
|
|
21,371
|
|
66,604
|
|
76%
|
|
51,200
|
|
0.19%
|
|
45,850
|
|
23%
|
|
2.6
|
|
10,972
|
|
21%
|
|
23
|
|
–
|
|
0.25% to <0.50%
|
|
50,171
|
|
14,723
|
|
64,894
|
|
75%
|
|
55,102
|
|
0.33%
|
|
56,426
|
|
22%
|
|
2.7
|
|
15,805
|
|
29%
|
|
41
|
|
–
|
|
0.50% to <0.75%
|
|
18,035
|
|
12,993
|
|
31,028
|
|
60%
|
|
21,613
|
|
0.60%
|
|
20,340
|
|
30%
|
|
2.2
|
|
10,834
|
|
50%
|
|
39
|
|
–
|
|
0.75% to <2.50%
|
|
30,753
|
|
22,207
|
|
52,960
|
|
69%
|
|
36,829
|
|
1.43%
|
|
899,680
|
|
32%
|
|
2.5
|
|
26,113
|
|
71%
|
|
164
|
|
–
|
|
2.50% to <10.00%
|
|
16,697
|
|
21,679
|
|
38,376
|
|
55%
|
|
21,575
|
|
5.40%
|
|
88,526
|
|
35%
|
|
2.7
|
|
31,882
|
|
148%
|
|
413
|
|
–
|
|
10.00% to <100.00%
|
|
1,124
|
|
590
|
|
1,714
|
|
70%
|
|
1,220
|
|
17.63%
|
|
93,698
|
|
28%
|
|
2.4
|
|
2,196
|
|
180%
|
|
60
|
|
–
|
|
100.00% (Default)
|
|
3,177
|
|
282
|
|
3,459
|
|
71%
|
|
2,532
|
|
100.00%
|
|
6,457
|
|
37%
|
|
2.2
|
|
2,673
|
|
106%
|
|
622
|
|
–
|
|
Sub-total (all portfolios)
|
|
366,478
|
|
266,306
|
|
632,784
|
|
68%
|
|
430,427
|
|
1.15%
|
|
1,312,223
|
|
29%
|
|
2.1
|
|
122,286
|
|
28%
|
|
1,401
|
|
640
|
|
Alternative treatment
|
Exposures from free deliveries applying standardized risk weights or 100% under the alternative treatment
|
|
29
|
|
–
|
|
29
|
|
–
|
|
29
|
|
–
|
|
–
|
|
–
|
|
–
|
|
16
|
|
–
|
|
–
|
|
–
|
|
IRB - maturity and export finance buffer
|
|
–
|
|
–
|
|
–
|
|
–
|
|
–
|
|
–
|
|
–
|
|
–
|
|
–
|
|
1,972
|
|
–
|
|
–
|
|
–
|
|
Total (all portfolios and alternative treatment)
|
|
366,507
|
|
266,306
|
|
632,813
|
|
68%
|
|
430,456
|
|
1.15%
|
|
1,312,223
|
|
29%
|
|
2.1
|
|
124,274
|
|
28%
|
|
1,401
|
|
640
|
|
1
CRM is reflected by shifting the counterparty exposure from the underlying obligor to the protection provider.
|
2
Reflects risk-weighted assets post CCF.
|
Credit derivatives used as CRM techniques
The following table presents the effect on risk-weighted assets of credit derivatives used as CRM techniques by portfolio.
For exposures covered by recognized credit derivatives, the substitution approach is applied, which means the risk weight of the obligor is substituted with the risk weight of the protection provider. The CRM effect is reflected according to the actual post-risk mitigation asset class for pre-credit derivatives and actual RWA. The table does not include the impact of certain immaterial positions where the credit derivative was recognized with an adjustment to LGD.
CR7 – Effect on risk-weighted assets of credit derivatives used as CRM techniques
|
|
|
2Q19
|
|
4Q18
|
|
end of
|
|
Pre-credit
derivatives
RWA
|
|
Actual
RWA
|
|
Pre-credit
derivatives
RWA
|
|
Actual
RWA
|
|
CHF million
|
Sovereigns - A-IRB
|
|
1,530
|
|
1,508
|
|
2,496
|
|
2,496
|
|
Institutions - Banks and securities dealers - A-IRB
|
|
4,372
|
|
4,218
|
|
4,501
|
|
4,410
|
|
Institutions - Other institutions - A-IRB
|
|
213
|
|
213
|
|
196
|
|
196
|
|
Corporates - Specialized lending - A-IRB
|
|
16,478
|
|
16,478
|
|
16,716
|
|
16,716
|
|
Corporates without specialized lending - A-IRB
|
|
66,284
|
|
66,237
|
|
71,136
|
|
70,181
|
|
Residential mortgages
|
|
20,378
|
|
20,378
|
|
18,523
|
|
18,523
|
|
Qualifying revolving retail
|
|
259
|
|
259
|
|
250
|
|
250
|
|
Other retail
|
|
11,917
|
|
11,917
|
|
11,933
|
|
11,933
|
|
Maturity and export finance buffer - IRB
|
|
1,555
|
|
1,555
|
|
1,972
|
|
1,972
|
|
Total
|
|
122,986
|
|
122,763
|
|
127,723
|
|
126,677
|
|
Includes RWA related to the A-IRB approach and supervisory slotting approach.
|
RWA flow statements of credit risk exposures under IRB
The following table presents the 2Q19 flow statement explaining the variations in the credit risk RWA determined under the IRB approach.
Credit risk RWA under IRB decreased CHF 0.6 billion to CHF 122.8 billion compared to CHF 123.4 billion as of the end of 1Q19, primarily reflecting a foreign exchange impact, partially offset by increases from model and parameter updates.
The model and parameter updates mainly reflected a FINMA-mandated buffer related to the ship finance rating model and an additional phase-in of multipliers on income producing real estate (IPRE) and non-IPRE exposures.
CR8 – Risk-weighted assets flow statements of credit risk exposures under IRB
|
|
|
2Q19
|
|
CHF million
|
Risk-weighted assets at beginning of period
|
|
123,397
|
|
Asset size
|
|
671
|
|
Asset quality
|
|
(662)
|
|
Model and parameter updates
|
|
1,045
|
|
Foreign exchange impact
|
|
(1,688)
|
|
Risk-weighted assets at end of period
|
|
122,763
|
|
Includes RWA related to the A-IRB approach and supervisory slotting approach.
|
Definition of risk-weighted assets movement components related to credit risk and CCR
|
Description
|
|
Definition
|
|
Asset size
|
|
Represents changes on the portfolio size arising in the ordinary course of business (including
new businesses). Asset size also includes movements arising from the application of the
comprehensive approach with regard to the treatment of financial collateral
|
|
Asset quality/credit quality of counterparties
|
|
Represents changes in average risk weighting across credit risk classes
|
|
Model and parameter updates
|
|
Represents movements arising from internally driven or externally mandated updates to models
and recalibrations of model parameters specific only to Credit Suisse
|
|
Methodology and policy changes
|
|
Represents movements arising from externally mandated regulatory methodology and policy
changes to accounting and exposure classification and treatment policies not specific only
to Credit Suisse
|
|
Acquisitions and disposals
|
|
Represents changes in book sizes due to acquisitions and disposals of entities
|
|
Foreign exchange impact
|
|
Represents changes in exchange rates of the transaction currencies compared to the Swiss franc
|
|
Other
|
|
Represents changes that cannot be attributed to any other category
|
|
Specialized lending
The following tables present the carrying values, exposure amounts and RWA for the Group’s specialized lending under the supervisory slotting approach.
CR10 – Specialized lending
|
end of
|
|
|
|
On-
balance
sheet
amount
|
|
Off-
balance
sheet
amount
|
|
Risk
weight
|
|
Exposure
amount
|
1
|
RWA
|
|
Expected
losses
|
|
2Q19 (CHF million, except where indicated)
|
Other than high-volatility commercial real estate
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Regulatory categories and remaining maturity
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Strong
|
|
Less than 2.5 years
|
|
8
|
|
378
|
|
50%
|
|
216
|
|
114
|
|
0
|
|
|
|
Equal to or more than 2.5 years
|
|
472
|
|
675
|
|
70%
|
|
843
|
|
626
|
|
3
|
|
Good
|
|
Less than 2.5 years
|
|
444
|
|
2
|
|
70%
|
|
445
|
|
330
|
|
2
|
|
|
|
Equal to or more than 2.5 years
|
|
285
|
|
242
|
|
90%
|
|
418
|
|
399
|
|
3
|
|
Satisfactory
|
|
|
|
319
|
|
121
|
|
115%
|
2
|
385
|
|
470
|
|
11
|
|
Total
|
|
|
|
1,528
|
|
1,418
|
|
–
|
|
2,307
|
|
1,939
|
|
19
|
|
High-volatility commercial real estate
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Regulatory categories and remaining maturity
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Strong
|
|
Equal to or more than 2.5 years
|
|
18
|
|
131
|
|
95%
|
|
90
|
|
91
|
|
0
|
|
Good
|
|
Equal to or more than 2.5 years
|
|
286
|
|
47
|
|
120%
|
|
312
|
|
397
|
|
1
|
|
Satisfactory
|
|
|
|
128
|
|
52
|
|
140%
|
|
157
|
|
233
|
|
5
|
|
Weak
|
|
|
|
0
|
|
29
|
|
250%
|
|
16
|
|
42
|
|
1
|
|
Default
|
|
|
|
45
|
|
3
|
|
–
|
|
47
|
|
0
|
|
24
|
|
Total
|
|
|
|
477
|
|
262
|
|
–
|
|
622
|
|
763
|
|
31
|
|
4Q18 (CHF million, except where indicated)
|
Other than high-volatility commercial real estate
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Regulatory categories and remaining maturity
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Strong
|
|
Less than 2.5 years
|
|
156
|
|
123
|
|
50%
|
|
223
|
|
118
|
|
0
|
|
|
|
Equal to or more than 2.5 years
|
|
318
|
|
892
|
|
70%
|
|
808
|
|
600
|
|
3
|
|
Good
|
|
Less than 2.5 years
|
|
835
|
|
31
|
|
70%
|
|
852
|
|
632
|
|
3
|
|
|
|
Equal to or more than 2.5 years
|
|
294
|
|
219
|
|
90%
|
|
414
|
|
395
|
|
3
|
|
Satisfactory
|
|
|
|
88
|
|
156
|
|
115%
|
2
|
174
|
|
212
|
|
5
|
|
Weak
|
|
|
|
60
|
|
0
|
|
250%
|
|
60
|
|
160
|
|
5
|
|
Default
|
|
|
|
36
|
|
0
|
|
–
|
|
36
|
|
–
|
|
18
|
|
Total
|
|
|
|
1,787
|
|
1,421
|
|
–
|
|
2,567
|
|
2,117
|
|
37
|
|
High-volatility commercial real estate
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Regulatory categories and remaining maturity
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Good
|
|
Equal to or more than 2.5 years
|
|
157
|
|
110
|
|
120%
|
|
217
|
|
276
|
|
1
|
|
Satisfactory
|
|
|
|
7
|
|
1
|
|
140%
|
|
7
|
|
10
|
|
0
|
|
Default
|
|
|
|
35
|
|
0
|
|
–
|
|
35
|
|
0
|
|
18
|
3
|
Total
|
|
|
|
199
|
|
111
|
|
–
|
|
259
|
|
286
|
|
19
|
3
|
1
Exposure amounts in connection with IPRE.
|
2
For a portion of the exposure, a risk weight of 120% is applied.
|
3
Prior period has been corrected.
|
Equity positions in the banking book
For equity type securities in the banking book, risk weights are determined using the simple risk-weight approach, which differentiates by equity sub-asset types, such as exchange-traded and other equity exposures.
CR10 – Equity positions in the banking book under the simple risk-weight approach
|
end of
|
|
On-balance
sheet
amount
|
|
Off-balance
sheet
amount
|
|
Risk weight
|
|
Exposure
amount
|
|
RWA
|
|
2Q19 (CHF million)
|
Exchange-traded equity exposures
|
|
26
|
|
0
|
|
300%
|
|
26
|
|
83
|
|
Other equity exposures
|
|
2,007
|
|
0
|
|
400%
|
|
2,007
|
|
8,509
|
|
Total
|
|
2,033
|
|
0
|
|
–
|
|
2,033
|
|
8,592
|
|
4Q18 (CHF million)
|
Exchange-traded equity exposures
|
|
21
|
|
0
|
|
300%
|
|
21
|
|
67
|
|
Other equity exposures
|
|
1,960
|
|
0
|
|
400%
|
|
1,960
|
|
8,311
|
|
Total
|
|
1,981
|
|
0
|
|
–
|
|
1,981
|
|
8,378
|
|
Counterparty exposure
CCR arises from over-the-counter (OTC) and exchange-traded derivatives, as well as securities financing transactions (SFT), such as repurchase agreements, securities lending and borrowing and other similar products. CCR exposures depend on the value of underlying market factors, for example, interest rates and foreign exchange rates, which may be volatile.
Credit Suisse has received approval from FINMA to use the internal models method (IMM) for measuring CCR for the majority of the derivatives and the value-at-risk (VaR) model for SFTs.
Details of counterparty credit risk exposures
Analysis of counterparty credit risk exposure by approach
The following table presents a comprehensive view of the methods used to calculate CCR regulatory requirements and the main parameters used within each method.
CCR1 – Analysis of counterparty credit risk exposure by approach
|
end of
|
|
Re-placement cost
|
|
PFE
|
|
EEPE
|
|
Alpha
used for
computing
regulatory
EAD
|
|
EAD
post-CRM
|
|
RWA
|
|
2Q19 (CHF million, except where indicated)
|
SA-CCR (for derivatives) 1
|
|
4,863
|
|
2,880
|
|
–
|
|
1.0
|
|
7,743
|
|
2,738
|
|
IMM (for derivatives)
|
|
–
|
|
–
|
|
18,874
|
|
1.4 - 1.6
|
2
|
28,206
|
|
10,761
|
|
Comprehensive Approach for CRM (for SFTs)
|
|
–
|
|
–
|
|
–
|
|
–
|
|
4
|
|
2
|
|
VaR for SFTs
|
|
–
|
|
–
|
|
–
|
|
–
|
|
29,897
|
|
4,898
|
|
Total
|
|
–
|
|
–
|
|
–
|
|
–
|
|
65,850
|
|
18,399
|
|
4Q18 (CHF million, except where indicated)
|
SA-CCR (for derivatives) 1
|
|
4,223
|
|
2,722
|
|
–
|
|
1.0
|
|
6,945
|
3
|
2,463
|
|
IMM (for derivatives)
|
|
–
|
|
–
|
|
19,752
|
3
|
1.4 - 1.6
|
2
|
29,602
|
3
|
9,138
|
|
Comprehensive Approach for CRM (for SFTs)
|
|
–
|
|
–
|
|
–
|
|
–
|
|
13
|
|
6
|
|
VaR for SFTs
|
|
–
|
|
–
|
|
–
|
|
–
|
|
28,466
|
|
4,594
|
|
Total
|
|
–
|
|
–
|
|
–
|
|
–
|
|
65,026
|
3
|
16,201
|
|
1
Calculated under the current exposure method.
|
2
EEPE alpha factors are generally equal to either 1.4 or 1.6, depending on the model used. Alpha factor is set equal to 1.0 in case of wrong way risk.
|
3
Prior period has been corrected.
|
CVA capital charge
The following table presents the credit valuation adjustment (CVA) regulatory calculations by advanced and standardized approaches.
RWA increased CHF 0.3 billion compared to the end of 4Q18, mainly reflecting the impact of the de-recognition of certain hedging transactions.
CCR2 – CVA capital charge
|
|
|
2Q19
|
|
4Q18
|
|
end of
|
|
EAD
post-CRM
|
|
RWA
|
|
EAD
post-CRM
|
|
RWA
|
|
CHF million
|
Total portfolios subject to the advanced CVA capital charge
|
|
34,897
|
|
5,905
|
|
32,980
|
1
|
5,669
|
|
of which VaR component (including the 3 x multiplier)
|
|
–
|
|
1,998
|
|
–
|
|
1,952
|
|
of which stressed VaR component (including the 3 x multiplier)
|
|
–
|
|
3,907
|
|
–
|
|
3,717
|
|
All portfolios subject to the standardized CVA capital charge
|
|
128
|
|
112
|
|
73
|
|
74
|
|
Total subject to the CVA capital charge
|
|
35,025
|
|
6,017
|
|
33,053
|
1
|
5,743
|
|
EAD post-CRM is disclosed as of the end of the period (end of day), whereas the RWA is an average as of the last 12 weeks.
|
1
Prior period has been corrected.
|
CCR exposures by regulatory portfolio and risk weight – standardized approach
Exposures under the standardized approach as of the end of 2Q19 increased compared to the end of 4Q18. The increase was primarily due to the application of the standardized approach for exposures, which were previously captured under the IRB approach.
The following table presents a breakdown of CCR exposures by regulatory portfolio (type of counterparties) and by risk weight (riskiness attributed to the exposure according to the standardized approach).
CCR3 – CCR exposures by regulatory portfolio and risk weight - standardized approach
|
|
|
Risk weight
|
|
|
|
end of
|
|
0%
|
|
20%
|
|
50%
|
|
100%
|
|
150%
|
|
Exposures
post-CCF
and CRM
|
|
2Q19 (CHF million)
|
Sovereigns
|
|
421
|
|
0
|
|
138
|
|
13
|
|
0
|
|
572
|
|
Institutions - Banks and securities dealer
|
|
0
|
|
136
|
|
144
|
|
39
|
|
22
|
|
341
|
|
Corporates
|
|
0
|
|
1,977
|
|
300
|
|
1,105
|
|
38
|
|
3,420
|
|
Retail
|
|
0
|
|
0
|
|
0
|
|
3
|
|
0
|
|
3
|
|
Other exposures
|
|
0
|
|
0
|
|
0
|
|
504
|
|
0
|
|
504
|
|
Total
|
|
421
|
|
2,113
|
|
582
|
|
1,664
|
|
60
|
|
4,840
|
|
4Q18 (CHF million)
|
Retail
|
|
0
|
|
0
|
|
0
|
|
18
|
|
0
|
|
18
|
|
Other exposures
|
|
42
|
|
0
|
|
0
|
|
349
|
|
0
|
|
391
|
|
Total
|
|
42
|
|
0
|
|
0
|
|
367
|
|
0
|
|
409
|
|
CCR exposures by portfolio and PD scale – IRB models
The following table presents all relevant parameters used for the calculation of CCR capital requirements for IRB models.
CCR4 – CCR exposures by portfolio and PD scale - IRB models
|
end of 2Q19
|
|
EAD
post-
CRM
|
|
Average
PD
|
|
Number
of
obligors
|
|
Average
LGD
|
|
Average
maturity
(years)
|
|
RWA
|
|
RWA
density
|
|
Sovereigns (CHF million, except where indicated)
|
0.00% to <0.15%
|
|
1,774
|
|
0.03%
|
|
36
|
|
47%
|
|
0.3
|
|
84
|
|
5%
|
|
0.15% to <0.25%
|
|
676
|
|
0.22%
|
|
3
|
|
41%
|
|
1.0
|
|
206
|
|
30%
|
|
0.25% to <0.50%
|
|
42
|
|
0.37%
|
|
1
|
|
53%
|
|
0.0
|
|
17
|
|
42%
|
|
0.50% to <0.75%
|
|
0
|
|
0.64%
|
|
1
|
|
42%
|
|
1.0
|
|
0
|
|
58%
|
|
0.75% to <2.50%
|
|
66
|
|
1.89%
|
|
2
|
|
53%
|
|
0.2
|
|
70
|
|
105%
|
|
2.50% to <10.00%
|
|
339
|
|
7.05%
|
|
5
|
|
46%
|
|
0.7
|
|
540
|
|
159%
|
|
Sub-total
|
|
2,897
|
|
0.94%
|
|
48
|
|
46%
|
|
0.5
|
|
917
|
|
32%
|
|
Institutions - Banks and securities dealer
|
0.00% to <0.15%
|
|
12,976
|
|
0.06%
|
|
514
|
|
58%
|
|
0.6
|
|
2,544
|
|
20%
|
|
0.15% to <0.25%
|
|
338
|
|
0.22%
|
|
79
|
|
58%
|
|
0.9
|
|
170
|
|
50%
|
|
0.25% to <0.50%
|
|
409
|
|
0.37%
|
|
81
|
|
55%
|
|
0.8
|
|
261
|
|
64%
|
|
0.50% to <0.75%
|
|
55
|
|
0.64%
|
|
48
|
|
50%
|
|
0.5
|
|
38
|
|
70%
|
|
0.75% to <2.50%
|
|
280
|
|
1.80%
|
|
93
|
|
53%
|
|
0.3
|
|
341
|
|
122%
|
|
2.50% to <10.00%
|
|
167
|
|
6.46%
|
|
85
|
|
49%
|
|
0.8
|
|
267
|
|
159%
|
|
10.00% to <100.00%
|
|
5
|
|
24.24%
|
|
9
|
|
52%
|
|
1.0
|
|
14
|
|
306%
|
|
Sub-total
|
|
14,230
|
|
0.20%
|
|
909
|
|
58%
|
|
0.6
|
|
3,635
|
|
26%
|
|
Institutions - Other institutions
|
0.00% to <0.15%
|
|
111
|
|
0.05%
|
|
31
|
|
46%
|
|
3.3
|
|
27
|
|
24%
|
|
0.15% to <0.25%
|
|
4
|
|
0.16%
|
|
1
|
|
27%
|
|
5.0
|
|
2
|
|
38%
|
|
0.25% to <0.50%
|
|
1
|
|
0.30%
|
|
1
|
|
28%
|
|
1.0
|
|
0
|
|
26%
|
|
0.50% to <0.75%
|
|
0
|
|
0.58%
|
|
2
|
|
53%
|
|
1.1
|
|
0
|
|
70%
|
|
Sub-total
|
|
116
|
|
0.05%
|
|
35
|
|
45%
|
|
3.4
|
|
29
|
|
25%
|
|
Corporates - Specialized lending
|
0.00% to <0.15%
|
|
140
|
|
0.05%
|
|
17
|
|
45%
|
|
3.7
|
|
35
|
|
25%
|
|
0.15% to <0.25%
|
|
12
|
|
0.20%
|
|
18
|
|
28%
|
|
3.0
|
|
3
|
|
27%
|
|
0.25% to <0.50%
|
|
14
|
|
0.36%
|
|
14
|
|
48%
|
|
4.3
|
|
10
|
|
72%
|
|
0.50% to <0.75%
|
|
11
|
|
0.61%
|
|
10
|
|
34%
|
|
4.7
|
|
7
|
|
67%
|
|
0.75% to <2.50%
|
|
13
|
|
1.04%
|
|
18
|
|
25%
|
|
4.0
|
|
8
|
|
60%
|
|
2.50% to <10.00%
|
|
1
|
|
5.16%
|
|
3
|
|
12%
|
|
4.0
|
|
1
|
|
47%
|
|
Sub-total
|
|
191
|
|
0.22%
|
|
80
|
|
42%
|
|
3.8
|
|
64
|
|
33%
|
|
CCR4 – CCR exposures by portfolio and PD scale - IRB models (continued)
|
end of 2Q19
|
|
EAD
post-
CRM
|
|
Average
PD
|
|
Number
of
obligors
|
|
Average
LGD
|
|
Average
maturity
(years)
|
|
RWA
|
|
RWA
density
|
|
Corporates without specialized lending (CHF million, except where indicated)
|
0.00% to <0.15%
|
|
33,904
|
|
0.05%
|
|
10,204
|
|
50%
|
|
0.5
|
|
3,872
|
|
11%
|
|
0.15% to <0.25%
|
|
1,933
|
|
0.21%
|
|
972
|
|
50%
|
|
1.8
|
|
906
|
|
47%
|
|
0.25% to <0.50%
|
|
808
|
|
0.37%
|
|
567
|
|
49%
|
|
1.4
|
|
480
|
|
59%
|
|
0.50% to <0.75%
|
|
1,009
|
|
0.64%
|
|
400
|
|
55%
|
|
1.1
|
|
864
|
|
86%
|
|
0.75% to <2.50%
|
|
1,772
|
|
1.47%
|
|
1,195
|
|
55%
|
|
1.1
|
|
2,171
|
|
123%
|
|
2.50% to <10.00%
|
|
1,135
|
|
5.08%
|
|
616
|
|
46%
|
|
0.9
|
|
2,599
|
|
229%
|
|
10.00% to <100.00%
|
|
8
|
|
18.91%
|
|
4
|
|
28%
|
|
4.1
|
|
14
|
|
180%
|
|
100.00% (Default)
|
|
5
|
|
100.00%
|
|
3
|
|
49%
|
|
1.0
|
|
5
|
|
106%
|
|
Sub-total
|
|
40,574
|
|
0.30%
|
|
13,961
|
|
50%
|
|
0.6
|
|
10,911
|
|
27%
|
|
Other retail
|
0.00% to <0.15%
|
|
2,517
|
|
0.05%
|
|
3,255
|
|
52%
|
|
1.0
|
|
198
|
|
8%
|
|
0.15% to <0.25%
|
|
181
|
|
0.19%
|
|
316
|
|
27%
|
|
2.1
|
|
21
|
|
11%
|
|
0.25% to <0.50%
|
|
89
|
|
0.34%
|
|
347
|
|
29%
|
|
1.8
|
|
16
|
|
17%
|
|
0.50% to <0.75%
|
|
65
|
|
0.58%
|
|
669
|
|
46%
|
|
1.5
|
|
25
|
|
38%
|
|
0.75% to <2.50%
|
|
81
|
|
2.09%
|
|
82
|
|
63%
|
|
1.0
|
|
70
|
|
88%
|
|
2.50% to <10.00%
|
|
17
|
|
5.68%
|
|
41
|
|
58%
|
|
0.4
|
|
15
|
|
92%
|
|
10.00% to <100.00%
|
|
2
|
|
20.28%
|
|
1
|
|
24%
|
|
5.0
|
|
1
|
|
57%
|
|
100.00% (Default)
|
|
6
|
|
100.00%
|
|
2
|
|
100%
|
|
1.0
|
|
6
|
|
106%
|
|
Sub-total
|
|
2,958
|
|
0.38%
|
|
4,713
|
|
50%
|
|
1.1
|
|
352
|
|
12%
|
|
Total (all portfolios)
|
0.00% to <0.15%
|
|
51,422
|
|
0.05%
|
|
14,057
|
|
52%
|
|
0.6
|
|
6,760
|
|
13%
|
|
0.15% to <0.25%
|
|
3,144
|
|
0.22%
|
|
1,389
|
|
47%
|
|
1.6
|
|
1,308
|
|
42%
|
|
0.25% to <0.50%
|
|
1,363
|
|
0.37%
|
|
1,011
|
|
50%
|
|
1.2
|
|
784
|
|
58%
|
|
0.50% to <0.75%
|
|
1,140
|
|
0.63%
|
|
1,130
|
|
54%
|
|
1.1
|
|
934
|
|
82%
|
|
0.75% to <2.50%
|
|
2,212
|
|
1.54%
|
|
1,390
|
|
55%
|
|
1.0
|
|
2,660
|
|
120%
|
|
2.50% to <10.00%
|
|
1,659
|
|
5.63%
|
|
750
|
|
47%
|
|
0.9
|
|
3,422
|
|
206%
|
|
10.00% to <100.00%
|
|
15
|
|
20.81%
|
|
14
|
|
35%
|
|
3.2
|
|
29
|
|
202%
|
|
100.00% (Default)
|
|
11
|
|
100.00%
|
|
5
|
|
77%
|
|
1.0
|
|
11
|
|
106%
|
|
Total (all portfolios)
|
|
60,966
|
|
0.31%
|
|
19,746
|
|
52%
|
|
0.7
|
|
15,908
|
|
26%
|
|
EAD post-CRM decreased CHF 3.7 billion compared to the end of 4Q18, primarily due to the application of the standardized approach for exposures, which were previously captured under the IRB approach.
CCR4 – CCR exposures by portfolio and PD scale - IRB models
|
end of 4Q18
|
|
EAD
post-
CRM
|
|
Average
PD
|
|
Number
of
obligors
|
|
Average
LGD
|
|
Average
maturity
(years)
|
|
RWA
|
|
RWA
density
|
|
Sovereigns (CHF million, except where indicated)
|
0.00% to <0.15%
|
|
2,635
|
|
0.03%
|
|
59
|
|
48%
|
|
0.5
|
|
145
|
|
6%
|
|
0.15% to <0.25%
|
|
471
|
|
0.22%
|
|
4
|
|
41%
|
|
1.0
|
|
142
|
|
30%
|
|
0.50% to <0.75%
|
|
0
|
|
0.64%
|
|
2
|
|
42%
|
|
1.0
|
|
0
|
|
56%
|
|
0.75% to <2.50%
|
|
37
|
|
1.89%
|
|
3
|
|
53%
|
|
0.3
|
|
39
|
|
106%
|
|
2.50% to <10.00%
|
|
210
|
|
9.31%
|
|
6
|
|
52%
|
|
0.4
|
|
413
|
|
197%
|
|
Sub-total
|
|
3,353
|
|
0.65%
|
|
74
|
|
47%
|
|
0.5
|
|
739
|
|
22%
|
|
Institutions - Banks and securities dealer
|
0.00% to <0.15%
|
|
14,122
|
|
0.06%
|
|
532
|
|
58%
|
|
0.6
|
|
2,708
|
|
19%
|
|
0.15% to <0.25%
|
|
341
|
|
0.22%
|
|
88
|
|
57%
|
|
0.9
|
|
173
|
|
51%
|
|
0.25% to <0.50%
|
|
383
|
|
0.37%
|
|
85
|
|
53%
|
|
1.0
|
|
249
|
|
65%
|
|
0.50% to <0.75%
|
|
53
|
|
0.64%
|
|
55
|
|
53%
|
|
0.8
|
|
39
|
|
74%
|
|
0.75% to <2.50%
|
|
386
|
|
1.79%
|
|
103
|
|
51%
|
|
0.4
|
|
450
|
|
117%
|
|
2.50% to <10.00%
|
|
139
|
|
6.00%
|
|
102
|
|
49%
|
|
0.9
|
|
209
|
|
151%
|
|
10.00% to <100.00%
|
|
8
|
|
23.55%
|
|
10
|
|
50%
|
|
1.0
|
|
23
|
|
270%
|
|
100.00% (Default)
|
|
17
|
|
100.00%
|
|
2
|
|
60%
|
|
1.0
|
|
18
|
|
106%
|
|
Sub-total
|
|
15,449
|
|
0.29%
|
|
977
|
|
58%
|
|
0.7
|
|
3,869
|
|
25%
|
|
Institutions - Other institutions
|
0.00% to <0.15%
|
|
93
|
|
0.05%
|
|
32
|
|
46%
|
|
3.3
|
|
23
|
|
25%
|
|
0.15% to <0.25%
|
|
5
|
|
0.19%
|
|
2
|
|
30%
|
|
4.2
|
|
2
|
|
40%
|
|
0.25% to <0.50%
|
|
1
|
|
0.36%
|
|
2
|
|
43%
|
|
2.6
|
|
0
|
|
62%
|
|
0.50% to <0.75%
|
|
0
|
|
0.58%
|
|
2
|
|
53%
|
|
1.2
|
|
0
|
|
92%
|
|
Sub-total
|
|
99
|
|
0.06%
|
|
38
|
|
45%
|
|
3.4
|
|
25
|
|
26%
|
|
Corporates - Specialized lending
|
0.00% to <0.15%
|
|
110
|
|
0.04%
|
|
20
|
|
41%
|
|
4.1
|
|
27
|
|
24%
|
|
0.15% to <0.25%
|
|
10
|
|
0.20%
|
|
17
|
|
30%
|
|
3.3
|
|
3
|
|
32%
|
|
0.25% to <0.50%
|
|
12
|
|
0.37%
|
|
16
|
|
44%
|
|
4.6
|
|
8
|
|
69%
|
|
0.50% to <0.75%
|
|
4
|
|
0.62%
|
|
8
|
|
38%
|
|
4.6
|
|
3
|
|
75%
|
|
0.75% to <2.50%
|
|
12
|
|
1.05%
|
|
20
|
|
29%
|
|
4.0
|
|
9
|
|
70%
|
|
2.50% to <10.00%
|
|
0
|
|
5.29%
|
|
3
|
|
10%
|
|
4.6
|
|
0
|
|
38%
|
|
10.00% to <100.00%
|
|
0
|
|
14.58%
|
|
1
|
|
28%
|
|
2.5
|
|
0
|
|
129%
|
|
Sub-total
|
|
148
|
|
0.20%
|
|
85
|
|
39%
|
|
4.1
|
|
50
|
|
34%
|
|
CCR4 – CCR exposures by portfolio and PD scale - IRB models (continued)
|
end of 4Q18
|
|
EAD
post-
CRM
|
|
Average
PD
|
|
Number
of
obligors
|
|
Average
LGD
|
|
Average
maturity
(years)
|
|
RWA
|
|
RWA
density
|
|
Corporates without specialized lending (CHF million, except where indicated)
|
0.00% to <0.15%
|
|
36,995
|
|
0.05%
|
|
10,508
|
|
50%
|
|
0.6
|
|
4,128
|
|
11%
|
|
0.15% to <0.25%
|
|
1,606
|
|
0.22%
|
|
1,162
|
|
46%
|
|
1.5
|
|
662
|
|
41%
|
|
0.25% to <0.50%
|
|
936
|
|
0.37%
|
|
594
|
|
56%
|
|
1.4
|
|
650
|
|
69%
|
|
0.50% to <0.75%
|
|
681
|
|
0.64%
|
|
470
|
|
56%
|
|
1.1
|
|
600
|
|
88%
|
|
0.75% to <2.50%
|
|
1,272
|
|
1.44%
|
|
1,247
|
|
70%
|
|
1.1
|
|
2,071
|
|
163%
|
|
2.50% to <10.00%
|
|
1,081
|
|
4.67%
|
|
1,837
|
|
53%
|
|
0.9
|
|
2,457
|
|
227%
|
|
10.00% to <100.00%
|
|
18
|
|
27.70%
|
|
8
|
|
41%
|
|
1.3
|
|
51
|
|
279%
|
|
100.00% (Default)
|
|
30
|
|
100.00%
|
|
7
|
|
53%
|
|
1.0
|
|
32
|
|
106%
|
|
Sub-total
|
|
42,619
|
|
0.31%
|
|
15,833
|
|
51%
|
|
0.7
|
|
10,651
|
|
25%
|
|
Other retail
|
0.00% to <0.15%
|
|
2,453
|
|
0.07%
|
|
1,730
|
|
58%
|
|
1.0
|
|
325
|
|
13%
|
|
0.15% to <0.25%
|
|
182
|
|
0.19%
|
|
303
|
|
33%
|
|
1.7
|
|
24
|
|
13%
|
|
0.25% to <0.50%
|
|
54
|
|
0.35%
|
|
262
|
|
29%
|
|
1.6
|
|
10
|
|
18%
|
|
0.50% to <0.75%
|
|
167
|
|
0.58%
|
|
696
|
|
50%
|
|
1.2
|
|
68
|
|
41%
|
|
0.75% to <2.50%
|
|
100
|
|
1.41%
|
|
130
|
|
38%
|
|
1.0
|
|
42
|
|
42%
|
|
2.50% to <10.00%
|
|
2
|
|
4.16%
|
|
39
|
|
43%
|
|
1.3
|
|
1
|
|
66%
|
|
10.00% to <100.00%
|
|
2
|
|
20.28%
|
|
2
|
|
19%
|
|
5.0
|
|
1
|
|
46%
|
|
100.00% (Default)
|
|
7
|
|
100.00%
|
|
3
|
|
100%
|
|
1.0
|
|
8
|
|
106%
|
|
Sub-total
|
|
2,967
|
|
0.41%
|
|
3,165
|
|
55%
|
|
1.0
|
|
479
|
|
16%
|
|
Total (all portfolios)
|
0.00% to <0.15%
|
|
56,408
|
|
0.05%
|
|
12,881
|
|
52%
|
|
0.6
|
|
7,356
|
|
13%
|
|
0.15% to <0.25%
|
|
2,615
|
|
0.22%
|
|
1,576
|
|
45%
|
|
1.4
|
|
1,006
|
|
38%
|
|
0.25% to <0.50%
|
|
1,386
|
|
0.37%
|
|
959
|
|
54%
|
|
1.3
|
|
917
|
|
66%
|
|
0.50% to <0.75%
|
|
905
|
|
0.63%
|
|
1,233
|
|
55%
|
|
1.1
|
|
710
|
|
79%
|
|
0.75% to <2.50%
|
|
1,807
|
|
1.52%
|
|
1,503
|
|
63%
|
|
0.9
|
|
2,611
|
|
144%
|
|
2.50% to <10.00%
|
|
1,432
|
|
5.48%
|
|
1,987
|
|
53%
|
|
0.8
|
|
3,080
|
|
215%
|
|
10.00% to <100.00%
|
|
28
|
|
25.99%
|
|
21
|
|
42%
|
|
1.4
|
|
75
|
|
262%
|
|
100.00% (Default)
|
|
54
|
|
100.00%
|
|
12
|
|
61%
|
|
1.0
|
|
58
|
|
106%
|
|
Total (all portfolios)
|
|
64,635
|
|
0.33%
|
|
20,172
|
|
52%
|
|
0.7
|
|
15,813
|
|
24%
|
|
Composition of collateral for CCR exposure
The following table presents a breakdown of all types of collateral posted or received by banks to support or reduce CCR exposures related to derivative transactions or SFTs, including transactions cleared through a central counterparty (CCP). For disclosure purposes, the collateral values are presented as the market value of the collateral without any adjustments for haircuts.
CCR5 – Composition of collateral for CCR exposure
|
|
|
Collateral used in derivative transactions
|
|
Collateral used in SFTs
|
|
|
|
Fair value of collateral received
|
|
Fair value of posted collateral
|
|
Fair value of
collateral
received
|
|
Fair value
of posted
collateral
|
|
end of
|
|
Segregated
|
|
Unsegregated
|
|
Total
|
|
Segregated
|
|
Unsegregated
|
|
Total
|
|
|
|
|
|
2Q19 (CHF million)
|
Cash - domestic currency
|
|
0
|
|
6,049
|
|
6,049
|
|
0
|
|
5,389
|
|
5,389
|
|
395
|
|
3,637
|
|
Cash - other currencies
|
|
0
|
|
44,792
|
|
44,792
|
|
0
|
|
37,265
|
|
37,265
|
|
100,898
|
|
184,106
|
|
Domestic sovereign debt
|
|
0
|
|
126
|
|
126
|
|
0
|
|
30
|
|
30
|
|
1,970
|
|
449
|
|
Other sovereign debt
|
|
0
|
|
20,956
|
|
20,956
|
|
2,346
|
|
15,638
|
|
17,984
|
|
203,799
|
|
117,405
|
|
Government agency debt
|
|
0
|
|
194
|
|
194
|
|
0
|
|
77
|
|
77
|
|
1,172
|
|
7,175
|
|
Corporate bonds
|
|
0
|
|
6,390
|
|
6,390
|
|
0
|
|
58
|
|
58
|
|
76,616
|
|
21,712
|
|
Equity securities
|
|
0
|
|
8,219
|
|
8,219
|
|
1,976
|
|
703
|
|
2,679
|
|
266,653
|
1
|
106,972
|
1
|
Other collateral
|
|
0
|
|
4,286
|
|
4,286
|
|
4
|
|
4
|
|
8
|
|
26,281
|
|
21,636
|
|
Total
|
|
0
|
|
91,012
|
|
91,012
|
|
4,326
|
|
59,164
|
|
63,490
|
|
677,784
|
|
463,092
|
|
4Q18 (CHF million) 2
|
Cash - domestic currency
|
|
0
|
|
3,380
|
|
3,380
|
|
0
|
|
6,017
|
|
6,017
|
|
230
|
|
2,472
|
|
Cash - other currencies
|
|
0
|
|
42,889
|
|
42,889
|
|
0
|
|
35,691
|
|
35,691
|
|
118,991
|
|
193,461
|
|
Domestic sovereign debt
|
|
0
|
|
89
|
|
89
|
|
0
|
|
28
|
|
28
|
|
2,313
|
|
1,231
|
|
Other sovereign debt
|
|
0
|
|
19,787
|
|
19,787
|
|
2,079
|
|
12,258
|
|
14,337
|
|
207,393
|
|
102,017
|
|
Government agency debt
|
|
0
|
|
301
|
|
301
|
|
0
|
|
175
|
|
175
|
|
1,322
|
|
8,073
|
|
Corporate bonds
|
|
0
|
|
6,427
|
|
6,427
|
|
0
|
|
22
|
|
22
|
|
62,171
|
|
19,880
|
|
Equity securities
|
|
0
|
|
7,512
|
|
7,512
|
|
2,566
|
|
738
|
|
3,304
|
|
221,632
|
1
|
56,248
|
1
|
Other collateral
|
|
0
|
|
4,078
|
|
4,078
|
|
3
|
|
149
|
|
152
|
|
19,381
|
|
30,181
|
|
Total
|
|
0
|
|
84,463
|
|
84,463
|
|
4,648
|
|
55,078
|
|
59,726
|
|
633,433
|
|
413,563
|
|
1
The Equity Prime Brokerage business consists of clients acquiring long and short positions in the market in a Credit Suisse account along with the appropriate margins. In the case of a counterparty default, Credit Suisse gains control over the long positions and are free to sell them to cover the exposure and the long positions are thus considered as "collateral received". On the other hand, the short positions are considered as "trades" and are not reported in the disclosure as "posted collateral".
|
2
Prior period has been corrected.
|
Credit derivatives exposures
The following table presents the extent of the Group’s exposures to credit derivative transactions as protection bought or sold.
CCR6 – Credit derivatives exposures
|
|
|
2Q19
|
|
4Q18
|
1
|
end of
|
|
Protection
bought
|
|
Protection
sold
|
|
Protection
bought
|
|
Protection
sold
|
|
Notionals (CHF billion)
|
Single-name CDS
|
|
112.6
|
|
89.7
|
|
104.7
|
|
77.9
|
|
Index CDS
|
|
170.5
|
|
137.6
|
|
149.7
|
|
145.3
|
|
Total return swaps
|
|
5.8
|
|
3.7
|
|
4.5
|
|
5.2
|
|
Credit options
|
|
0.5
|
|
0.0
|
|
0.6
|
|
0.0
|
|
Other credit derivatives
|
|
49.1
|
|
23.6
|
|
48.7
|
|
23.3
|
|
of which credit default swaptions
|
|
49.1
|
|
23.6
|
|
48.7
|
|
23.3
|
|
Total notionals
|
|
338.5
|
|
254.6
|
|
308.2
|
|
251.7
|
|
Fair values (CHF billion)
|
Positive fair value (asset)
|
|
3.1
|
|
5.1
|
|
3.5
|
|
2.7
|
|
Negative fair value (liability)
|
|
7.9
|
|
2.4
|
|
4.2
|
|
3.1
|
|
Includes the client leg of cleared credit derivatives.
|
1
Prior period has been corrected.
|
RWA flow statements of CCR exposures under IMM
The following table presents the 2Q19 flow statement explaining changes in CCR RWA determined under the IMM for CCR (derivatives and SFTs).
CCR7 – Risk-weighted assets flow statements of CCR exposures under IMM
|
|
|
2Q19
|
|
CHF million
|
Risk-weighted assets at beginning of period
|
|
15,133
|
|
Asset size
|
|
425
|
|
Credit quality of counterparties
|
|
(194)
|
|
Model and parameter updates
|
|
1,001
|
|
Foreign exchange impact
|
|
(408)
|
|
Risk-weighted assets at end of period
|
|
15,957
|
|
> Refer to “RWA flow statements of credit risk exposures under IRB” (page 18) in Credit risk for definitions of the RWA flow statements components.
CCR RWA under IMM of CHF 16.0 billion increased 5% compared to the end of 1Q19, primarily driven by model and parameter updates reflecting the impact of the de-recognition of certain hedging transactions.
Exposures to central counterparties
The following table presents a comprehensive picture of the Group’s exposure to CCPs.
CCR8 – Exposures to central counterparties
|
|
|
2Q19
|
|
4Q18
|
|
end of
|
|
EAD
(post-CRM)
|
|
RWA
|
|
EAD
(post-CRM)
|
|
RWA
|
|
CHF million
|
QCCPs
|
|
|
|
|
|
|
|
|
|
Exposures for trades at QCCPs
|
|
17,649
|
|
369
|
|
16,200
|
|
323
|
|
of which OTC derivatives
|
|
9,414
|
|
204
|
|
5,516
|
|
110
|
|
of which exchange-traded derivatives
|
|
7,596
|
|
152
|
|
9,768
|
|
195
|
|
of which SFTs
|
|
639
|
|
13
|
|
916
|
|
18
|
|
Segregated initial margin
|
|
2,497
|
|
–
|
|
303
|
|
–
|
|
Non-segregated initial margin
|
|
286
|
|
6
|
|
1,163
|
|
25
|
|
Pre-funded default fund contributions
|
|
2,724
|
|
1,093
|
|
2,937
|
|
946
|
|
Total exposures to QCCPs
|
|
–
|
|
1,468
|
|
–
|
|
1,294
|
|
Non-QCCPs
|
|
|
|
|
|
|
|
|
|
Exposures for trades at non-QCCPs
|
|
15
|
|
15
|
|
97
|
|
97
|
|
of which SFTs
|
|
15
|
|
15
|
|
97
|
|
97
|
|
Pre-funded default fund contributions
|
|
2
|
|
22
|
|
6
|
|
21
|
|
Total exposures to non-QCCPs
|
|
–
|
|
37
|
|
–
|
|
118
|
|
Exposures associated with initial margin, where the exposures are measured under the IMM, have been included within the exposures for trades.
|
Securitization exposures in the banking book
Securitization exposures presented in the following table represent the EAD.
Securitization exposures in the banking book where the Group acts as originator increased CHF 1.5 billion compared to the end of 4Q18, primarily relating to new collateralized debt obligations (CDO)/collateralized loan obligations (CLO) securitizations.
Securitization exposures in the banking book where the Group acts as sponsor increased CHF 1.5 billion and securitization exposures in the banking book where the Group acts as investor increased CHF 0.8 billion compared to the end of 4Q18.
SEC1 – Securitization exposures in the banking book
|
|
|
Bank acts as originator
|
|
Bank acts as sponsor
|
|
Bank acts as investor
|
|
end of
|
|
Traditional
|
|
Synthetic
|
|
Total
|
|
Traditional
|
|
Synthetic
|
|
Total
|
|
Traditional
|
|
Synthetic
|
|
Total
|
|
2Q19 (CHF million)
|
Commercial mortgages
|
|
61
|
|
0
|
|
61
|
|
0
|
|
0
|
|
0
|
|
246
|
|
4
|
|
250
|
|
Residential mortgages
|
|
39
|
|
0
|
|
39
|
|
94
|
|
0
|
|
94
|
|
1,301
|
|
239
|
|
1,540
|
|
CDO/CLO
|
|
1,057
|
|
32,383
|
|
33,440
|
|
1,742
|
|
0
|
|
1,742
|
|
2,037
|
|
4
|
|
2,041
|
|
Other ABS
|
|
940
|
|
0
|
|
940
|
|
6,359
|
|
0
|
|
6,359
|
|
5,234
|
|
196
|
|
5,430
|
|
Total
|
|
2,097
|
|
32,383
|
|
34,480
|
|
8,195
|
|
0
|
|
8,195
|
|
8,818
|
|
443
|
|
9,261
|
|
4Q18 (CHF million) 1
|
Commercial mortgages
|
|
10
|
|
0
|
|
10
|
|
0
|
|
0
|
|
0
|
|
217
|
|
0
|
|
217
|
|
Residential mortgages
|
|
102
|
|
0
|
|
102
|
|
235
|
|
0
|
|
235
|
|
1,663
|
|
0
|
|
1,663
|
|
CDO/CLO
|
|
1,074
|
|
31,831
|
|
32,905
|
|
1,036
|
|
1
|
|
1,037
|
|
1,541
|
|
0
|
|
1,541
|
|
Other ABS
|
|
3
|
|
0
|
|
3
|
|
5,383
|
|
0
|
|
5,383
|
|
5,071
|
|
0
|
|
5,071
|
|
Total
|
|
1,189
|
|
31,831
|
|
33,020
|
|
6,654
|
|
1
|
|
6,655
|
|
8,492
|
|
0
|
|
8,492
|
|
1
Prior period has been corrected.
|
Securitization exposures in the trading book
SEC2 – Securitization exposures in the trading book
|
|
|
Bank acts as originator
|
|
Bank acts as sponsor
|
|
Bank acts as investor
|
|
end of
|
|
Traditional
|
|
Synthetic
|
|
Total
|
|
Traditional
|
|
Synthetic
|
|
Total
|
|
Traditional
|
|
Synthetic
|
|
Total
|
|
2Q19 (CHF million)
|
Commercial mortgages
|
|
59
|
|
0
|
|
59
|
|
0
|
|
0
|
|
0
|
|
1,441
|
|
320
|
|
1,761
|
|
Residential mortgages
|
|
21
|
|
0
|
|
21
|
|
0
|
|
0
|
|
0
|
|
3,190
|
|
49
|
|
3,239
|
|
Other ABS
|
|
1
|
|
0
|
|
1
|
|
0
|
|
0
|
|
0
|
|
579
|
|
60
|
|
639
|
|
CDO/CLO
|
|
4
|
|
0
|
|
4
|
|
0
|
|
0
|
|
0
|
|
320
|
|
185
|
|
505
|
|
Total
|
|
85
|
|
0
|
|
85
|
|
0
|
|
0
|
|
0
|
|
5,530
|
|
614
|
|
6,144
|
|
4Q18 (CHF million)
|
Commercial mortgages
|
|
86
|
|
0
|
|
86
|
|
0
|
|
0
|
|
0
|
|
1,439
|
|
887
|
|
2,326
|
|
Residential mortgages
|
|
42
|
|
0
|
|
42
|
|
0
|
|
0
|
|
0
|
|
2,483
|
|
40
|
|
2,523
|
|
Other ABS
|
|
1
|
|
0
|
|
1
|
|
0
|
|
0
|
|
0
|
|
630
|
|
139
|
|
769
|
|
CDO/CLO
|
|
4
|
|
0
|
|
4
|
|
0
|
|
0
|
|
0
|
|
462
|
|
482
|
|
944
|
|
Total
|
|
133
|
|
0
|
|
133
|
|
0
|
|
0
|
|
0
|
|
5,014
|
|
1,548
|
|
6,562
|
|
Calculation of capital requirements
The following tables present the securitization exposures in the banking book and the associated regulatory capital requirements.
SEC3 – Securitization exposures in the banking book and associated regulatory capital requirements - Credit Suisse acting as originator or as sponsor
|
|
|
Exposure value (by RW band)
|
|
Exposure value (by regulatory approach)
|
|
RWA (by regulatory approach)
|
|
Capital charge after cap
|
|
end of
|
|
<=20% RW
|
|
>20% to
50% RW
|
|
>50% to
100% RW
|
|
>100% to
<1250% RW
|
|
1250% RW
|
|
SEC-IRBA
|
|
SEC-ERBA
|
|
SEC-SA
|
|
1250% RW
|
|
SEC-IRBA
|
|
SEC-ERBA
|
|
SEC-SA
|
|
1250% RW
|
|
SEC-IRBA
|
|
SEC-ERBA
|
|
SEC-SA
|
|
1250% RW
|
|
2Q19 (CHF million)
|
Total exposures
|
|
34,380
|
|
6,110
|
|
827
|
|
1,292
|
|
66
|
|
34,474
|
|
1,278
|
|
6,857
|
|
66
|
|
7,056
|
|
933
|
|
1,976
|
|
818
|
|
528
|
|
75
|
|
158
|
|
66
|
|
Traditional securitization
|
|
5,475
|
|
2,693
|
|
827
|
|
1,255
|
|
42
|
|
2,115
|
|
1,278
|
|
6,857
|
|
42
|
|
922
|
|
933
|
|
1,976
|
|
514
|
|
38
|
|
75
|
|
158
|
|
42
|
|
of which securitization
|
|
5,475
|
|
2,693
|
|
827
|
|
1,255
|
|
32
|
|
2,115
|
|
1,278
|
|
6,857
|
|
32
|
|
922
|
|
933
|
|
1,976
|
|
393
|
|
38
|
|
75
|
|
158
|
|
32
|
|
of which retail underlying
|
|
3,230
|
|
1,428
|
|
13
|
|
39
|
|
21
|
|
0
|
|
933
|
|
3,777
|
|
21
|
|
0
|
|
418
|
|
732
|
|
258
|
|
0
|
|
33
|
|
59
|
|
21
|
|
of which wholesale
|
|
2,245
|
|
1,265
|
|
814
|
|
1,216
|
|
11
|
|
2,115
|
|
345
|
|
3,080
|
|
11
|
|
922
|
|
515
|
|
1,244
|
|
135
|
|
38
|
|
42
|
|
99
|
|
11
|
|
of which re-securitization
|
|
0
|
|
0
|
|
0
|
|
0
|
|
10
|
|
0
|
|
0
|
|
0
|
|
10
|
|
0
|
|
0
|
|
0
|
|
121
|
|
0
|
|
0
|
|
0
|
|
10
|
|
of which senior
|
|
0
|
|
0
|
|
0
|
|
0
|
|
3
|
|
0
|
|
0
|
|
0
|
|
3
|
|
0
|
|
0
|
|
0
|
|
35
|
|
0
|
|
0
|
|
0
|
|
3
|
|
of which non-senior
|
|
0
|
|
0
|
|
0
|
|
0
|
|
7
|
|
0
|
|
0
|
|
0
|
|
7
|
|
0
|
|
0
|
|
0
|
|
86
|
|
0
|
|
0
|
|
0
|
|
7
|
|
Synthetic securitization
|
|
28,905
|
|
3,417
|
|
0
|
|
37
|
|
24
|
|
32,359
|
|
0
|
|
0
|
|
24
|
|
6,134
|
|
0
|
|
0
|
|
304
|
|
490
|
|
0
|
|
0
|
|
24
|
|
of which securitization
|
|
28,905
|
|
3,417
|
|
0
|
|
37
|
|
24
|
|
32,359
|
|
0
|
|
0
|
|
24
|
|
6,134
|
|
0
|
|
0
|
|
304
|
|
490
|
|
0
|
|
0
|
|
24
|
|
of which retail underlying
|
|
458
|
|
6
|
|
0
|
|
0
|
|
0
|
|
464
|
|
0
|
|
0
|
|
0
|
|
81
|
|
0
|
|
0
|
|
2
|
|
6
|
|
0
|
|
0
|
|
0
|
|
of which wholesale
|
|
28,447
|
|
3,411
|
|
0
|
|
37
|
|
24
|
|
31,895
|
|
0
|
|
0
|
|
24
|
|
6,053
|
|
0
|
|
0
|
|
302
|
|
484
|
|
0
|
|
0
|
|
24
|
|
4Q18 (CHF million) 1
|
Total exposures
|
|
32,476
|
|
6,403
|
|
556
|
|
179
|
|
61
|
|
33,486
|
|
1,440
|
|
4,688
|
|
61
|
|
6,621
|
|
1,036
|
|
1,287
|
|
757
|
|
514
|
|
83
|
|
99
|
|
61
|
|
Traditional securitization
|
|
4,237
|
|
2,872
|
|
556
|
|
140
|
|
36
|
|
1,678
|
|
1,440
|
|
4,688
|
|
36
|
|
627
|
|
1,036
|
|
1,287
|
|
451
|
|
34
|
|
83
|
|
99
|
|
36
|
|
of which securitization
|
|
4,237
|
|
2,872
|
|
556
|
|
140
|
|
2
|
|
1,678
|
|
1,440
|
|
4,688
|
|
2
|
|
627
|
|
1,036
|
|
1,287
|
|
24
|
|
34
|
|
83
|
|
99
|
|
2
|
|
of which retail underlying
|
|
2,522
|
|
1,505
|
|
90
|
|
49
|
|
0
|
|
184
|
|
993
|
|
2,989
|
|
0
|
|
69
|
|
447
|
|
684
|
|
0
|
|
6
|
|
36
|
|
55
|
|
0
|
|
of which wholesale
|
|
1,715
|
|
1,367
|
|
466
|
|
91
|
|
2
|
|
1,494
|
|
447
|
|
1,699
|
|
2
|
|
558
|
|
589
|
|
603
|
|
24
|
|
28
|
|
47
|
|
44
|
|
2
|
|
of which re-securitization
|
|
0
|
|
0
|
|
0
|
|
0
|
|
34
|
|
0
|
|
0
|
|
0
|
|
34
|
|
0
|
|
0
|
|
0
|
|
427
|
|
0
|
|
0
|
|
0
|
|
34
|
|
of which senior
|
|
0
|
|
0
|
|
0
|
|
0
|
|
26
|
|
0
|
|
0
|
|
0
|
|
26
|
|
0
|
|
0
|
|
0
|
|
324
|
|
0
|
|
0
|
|
0
|
|
26
|
|
of which non-senior
|
|
0
|
|
0
|
|
0
|
|
0
|
|
8
|
|
0
|
|
0
|
|
0
|
|
8
|
|
0
|
|
0
|
|
0
|
|
103
|
|
0
|
|
0
|
|
0
|
|
8
|
|
Synthetic securitization
|
|
28,239
|
|
3,531
|
|
0
|
|
39
|
|
25
|
|
31,808
|
|
0
|
|
0
|
|
25
|
|
5,994
|
|
0
|
|
0
|
|
306
|
|
480
|
|
0
|
|
0
|
|
25
|
|
of which securitization
|
|
28,239
|
|
3,531
|
|
0
|
|
39
|
|
25
|
|
31,808
|
|
0
|
|
0
|
|
25
|
|
5,994
|
|
0
|
|
0
|
|
306
|
|
480
|
|
0
|
|
0
|
|
25
|
|
of which retail underlying
|
|
519
|
|
22
|
|
0
|
|
0
|
|
1
|
|
541
|
|
0
|
|
0
|
|
1
|
|
83
|
|
0
|
|
0
|
|
9
|
|
7
|
|
0
|
|
0
|
|
1
|
|
of which wholesale
|
|
27,720
|
|
3,509
|
|
0
|
|
39
|
|
24
|
|
31,267
|
|
0
|
|
0
|
|
24
|
|
5,911
|
|
0
|
|
0
|
|
297
|
|
473
|
|
0
|
|
0
|
|
24
|
|
1
Prior period has been corrected.
|
SEC4 – Securitization exposures in the banking book and associated regulatory capital requirements - Credit Suisse acting as investor
|
|
|
Exposure value (by RW band)
|
|
Exposure value (by regulatory approach)
|
|
RWA (by regulatory approach)
|
|
Capital charge after cap
|
|
end of
|
|
<=20% RW
|
|
>20% to
50% RW
|
|
>50% to
100% RW
|
|
>100% to
<1250% RW
|
|
1250% RW
|
|
SEC-IRBA
|
|
SEC-ERBA
|
|
SEC-SA
|
|
1250% RW
|
|
SEC-IRBA
|
|
SEC-ERBA
|
|
SEC-SA
|
|
1250% RW
|
|
SEC-IRBA
|
|
SEC-ERBA
|
|
SEC-SA
|
|
1250% RW
|
|
2Q19 (CHF million)
|
Total exposures
|
|
5,866
|
|
2,120
|
|
1,105
|
|
165
|
|
5
|
|
1,460
|
|
1,289
|
|
6,507
|
|
5
|
|
219
|
|
575
|
|
2,795
|
|
65
|
|
18
|
|
46
|
|
151
|
|
5
|
|
Traditional securitization
|
|
5,757
|
|
1,892
|
|
1,021
|
|
144
|
|
4
|
|
1,460
|
|
984
|
|
6,370
|
|
4
|
|
219
|
|
380
|
|
2,764
|
|
52
|
|
18
|
|
31
|
|
148
|
|
4
|
|
of which securitization
|
|
5,757
|
|
1,892
|
|
939
|
|
144
|
|
4
|
|
1,460
|
|
984
|
|
6,288
|
|
4
|
|
219
|
|
380
|
|
2,682
|
|
52
|
|
18
|
|
31
|
|
141
|
|
4
|
|
of which retail underlying
|
|
3,020
|
|
609
|
|
201
|
|
4
|
|
4
|
|
0
|
|
402
|
|
3,433
|
|
4
|
|
0
|
|
169
|
|
1,067
|
|
52
|
|
0
|
|
14
|
|
56
|
|
4
|
|
of which wholesale
|
|
2,737
|
|
1,283
|
|
738
|
|
140
|
|
0
|
|
1,460
|
|
582
|
|
2,855
|
|
0
|
|
219
|
|
211
|
|
1,615
|
|
0
|
|
18
|
|
17
|
|
85
|
|
0
|
|
of which re-securitization
|
|
0
|
|
0
|
|
82
|
|
0
|
|
0
|
|
0
|
|
0
|
|
82
|
|
0
|
|
0
|
|
0
|
|
82
|
|
0
|
|
0
|
|
0
|
|
7
|
|
0
|
|
of which non-senior
|
|
0
|
|
0
|
|
82
|
|
0
|
|
0
|
|
0
|
|
0
|
|
82
|
|
0
|
|
0
|
|
0
|
|
82
|
|
0
|
|
0
|
|
0
|
|
7
|
|
0
|
|
Synthetic securitization
|
|
109
|
|
228
|
|
84
|
|
21
|
|
1
|
|
0
|
|
305
|
|
137
|
|
1
|
|
0
|
|
195
|
|
31
|
|
13
|
|
0
|
|
15
|
|
3
|
|
1
|
|
of which securitization
|
|
109
|
|
228
|
|
84
|
|
21
|
|
0
|
|
0
|
|
305
|
|
137
|
|
0
|
|
0
|
|
195
|
|
31
|
|
3
|
|
0
|
|
15
|
|
3
|
|
0
|
|
of which retail underlying
|
|
11
|
|
131
|
|
82
|
|
15
|
|
0
|
|
0
|
|
239
|
|
0
|
|
0
|
|
0
|
|
167
|
|
0
|
|
0
|
|
0
|
|
13
|
|
0
|
|
0
|
|
of which wholesale
|
|
98
|
|
97
|
|
2
|
|
6
|
|
0
|
|
0
|
|
66
|
|
137
|
|
0
|
|
0
|
|
28
|
|
31
|
|
0
|
|
0
|
|
2
|
|
3
|
|
0
|
|
of which re-securitization
|
|
0
|
|
0
|
|
0
|
|
0
|
|
1
|
|
0
|
|
0
|
|
0
|
|
1
|
|
0
|
|
0
|
|
0
|
|
10
|
|
0
|
|
0
|
|
0
|
|
1
|
|
of which senior
|
|
0
|
|
0
|
|
0
|
|
0
|
|
1
|
|
0
|
|
0
|
|
0
|
|
1
|
|
0
|
|
0
|
|
0
|
|
10
|
|
0
|
|
0
|
|
0
|
|
1
|
|
4Q18 (CHF million) 1
|
Total exposures
|
|
5,640
|
|
1,437
|
|
470
|
|
921
|
|
24
|
|
1,360
|
|
942
|
|
6,166
|
|
24
|
|
208
|
|
386
|
|
3,059
|
|
298
|
|
17
|
|
31
|
|
177
|
|
24
|
|
Traditional securitization
|
|
5,640
|
|
1,437
|
|
470
|
|
921
|
|
24
|
|
1,360
|
|
942
|
|
6,166
|
|
24
|
|
208
|
|
386
|
|
3,059
|
|
298
|
|
17
|
|
31
|
|
177
|
|
24
|
|
of which securitization
|
|
5,640
|
|
1,437
|
|
470
|
|
921
|
|
24
|
|
1,360
|
|
942
|
|
6,166
|
|
24
|
|
208
|
|
386
|
|
3,059
|
|
298
|
|
17
|
|
31
|
|
177
|
|
24
|
|
of which retail underlying
|
|
3,118
|
|
640
|
|
202
|
|
781
|
|
24
|
|
0
|
|
373
|
|
4,368
|
|
24
|
|
0
|
|
144
|
|
1,925
|
|
298
|
|
0
|
|
12
|
|
126
|
|
24
|
|
of which wholesale
|
|
2,522
|
|
797
|
|
268
|
|
140
|
|
0
|
|
1,360
|
|
569
|
|
1,798
|
|
0
|
|
208
|
|
242
|
|
1,134
|
|
0
|
|
17
|
|
19
|
|
51
|
|
0
|
|
1
Prior period has been corrected.
|
We use the advanced approach for calculating the market risk capital requirements for the majority of our market risk exposures. The percentage of RWA covered by internal models as of June 30, 2019 was 86%. In line with regulatory requirements, the standardized measurement method is used for the specific risk of securitized exposures.
Market risk under internal model approach
RWA flow statements of market risk exposures under an IMA
The following table presents the 2Q19 flow statement explaining variations in the market risk RWA determined under an internal model approach (IMA).
Market risk RWA under an IMA of CHF 13.7 billion decreased 3% compared to the end of 1Q19.
MR2 – Risk-weighted assets flow statements of market risk exposures under an IMA
|
2Q19
|
|
Regulatory
VaR
|
|
Stressed
VaR
|
|
IRC
|
|
Other
|
1
|
Total
|
|
CHF million
|
Risk-weighted assets at beginning of period
|
|
2,961
|
|
4,424
|
|
1,171
|
|
5,453
|
|
14,009
|
|
Regulatory adjustment
|
|
(37)
|
|
(72)
|
|
(257)
|
|
(311)
|
|
(677)
|
|
Risk-weighted assets at beginning of period (end of day)
|
|
2,924
|
|
4,352
|
|
914
|
|
5,142
|
|
13,332
|
|
Movement in risk levels
|
|
(81)
|
|
204
|
|
129
|
|
287
|
|
539
|
|
Model and parameter updates
|
|
8
|
|
37
|
|
0
|
|
0
|
|
45
|
|
Foreign exchange impact
|
|
(48)
|
|
(84)
|
|
(36)
|
|
(96)
|
|
(264)
|
|
Risk-weighted assets at end of period (end of day)
|
|
2,803
|
|
4,509
|
|
1,007
|
|
5,333
|
|
13,652
|
|
Regulatory adjustment
|
|
(286)
|
|
269
|
|
325
|
|
(310)
|
|
(2)
|
|
Risk-weighted assets at end of period
|
|
2,517
|
|
4,778
|
|
1,332
|
|
5,023
|
|
13,650
|
|
|
Definitions of risk-weighted assets movement components related to market risk
|
Description
|
|
Definition
|
|
RWA as of the end of the previous/current reporting periods
|
|
Represents RWA at quarter-end
|
|
Regulatory adjustment
|
|
Indicates the difference between RWA and RWA (end of day) at beginning and end of period
|
|
RWA as of the previous/current quarters end (end of day)
|
|
For a given component (e.g., VaR) it refers to the RWA that would be computed if the snapshot
quarter end amount of the component determines the quarter end RWA, as opposed to a 60-day
average for regulatory
|
|
Movement in risk levels
|
|
Represents movements due to position changes
|
|
Model and parameter updates
|
|
Represents movements arising from internally driven or externally mandated updates to models
and recalibrations of model parameters specific only to Credit Suisse
|
|
Methodology and policy changes
|
|
Represents movements arising from externally mandated regulatory methodology and policy
changes to accounting and exposure classification and treatment policies not specific only
to Credit Suisse
|
|
Acquisitions and disposals
|
|
Represents changes in book sizes due to acquisitions and disposals of entities
|
|
Foreign exchange impact
|
|
Represents changes in exchange rates of the transaction currencies compared to the Swiss franc
|
|
Other
|
|
Represents changes that cannot be attributed to any other category
|
|
Market risk under standardized approach
The following table presents the capital requirement under the standardized approach for market risk.
MR1 – Market risk under standardized approach
|
end of
|
|
2Q19
|
|
4Q18
|
|
Risk-weighted assets (CHF million)
|
Securitization
|
|
2,190
|
|
2,393
|
|
Total risk-weighted assets
|
|
2,190
|
|
2,393
|
|
IMA approach values for trading portfolios
The following table presents the maximum, minimum, average and period end values resulting from the different types of models used for computing regulatory capital charge at the Group level, before any additional capital charge is applied.
MR3 – Regulatory VaR, stressed VaR and Incremental Risk Charge
|
in / end of
|
|
1H19
|
|
2H18
|
|
CHF million
|
Regulatory VaR (10 day 99%)
|
|
|
|
|
|
Maximum value
|
|
120
|
|
149
|
|
Average value
|
|
73
|
|
71
|
|
Minimum value
|
|
57
|
|
44
|
|
Period end
|
|
75
|
|
121
|
|
Stressed VaR (10 day 99%)
|
|
|
|
|
|
Maximum value
|
|
179
|
|
188
|
|
Average value
|
|
122
|
|
141
|
|
Minimum value
|
|
89
|
|
89
|
|
Period end
|
|
120
|
|
167
|
|
IRC (99.9%)
|
|
|
|
|
|
Maximum value
|
|
138
|
|
304
|
|
Average value
|
|
97
|
|
137
|
|
Minimum value
|
|
51
|
|
30
|
|
Period end
|
|
81
|
|
70
|
|
During 1H19, the average stressed VaR decreased, primarily driven by a more defensive equities position in Global Markets. The average incremental risk charge (IRC) decreased, primarily driven by lower IRC levels following an update to loan data attributes in Global Markets in 2H18.
Comparison of VaR estimates with gains/losses
The following chart compares the results of estimates from the regulatory VaR model with both hypothetical and actual trading outcomes.
Backtesting involves comparing the results produced by the VaR model with a subset of actual trading revenues also referred to as hypothetical trading revenues under the Basel framework. Hypothetical trading revenues are defined in compliance with regulatory requirements and aligned with the objective of the VaR model output by excluding (i) non-market elements (such as fees, commissions, cancellations and terminations, net cost of funding and credit-related valuation adjustments) and (ii) gains and losses from intra-day trading. A backtesting exception occurs when a hypothetical trading loss exceeds the daily VaR estimate. The actual trading revenue includes the intra-day trading revenues as well as commissions and fees, in addition to hypothetical trading revenues.
For capital purposes and in line with Bank for International Settlements (BIS) requirements, FINMA increases the capital multiplier for every regulatory VaR backtesting exception above four in the prior rolling 12-month period, resulting in an incremental market risk capital requirement for the Group. VaR models with less than five backtesting exceptions are considered by regulators to be classified in a defined “green zone”. The “green zone” corresponds to backtesting results that do not themselves suggest a problem with the quality or accuracy of a bank’s model.
In 1H19, we had no backtesting exceptions in our regulatory VaR model calculated using hypothetical trading revenues.
Since there were fewer than five backtesting exceptions in the rolling 12-month period through the end of 2Q19, in line with BIS industry guidelines, the bank is in the “green zone”.
Interest rate risk in the banking book
Risk management objectives and policies
Overview
The Group manages interest rate risk in the banking book (IRRBB) both in terms of risk to earnings as well as risk to the economic value of the asset and liability position, arising from changes in interest rates.
The Group monitors IRRBB through established systems, processes and controls. Risk measures are provided to estimate the impact of changes in interest rates, which is one of the primary ways in which IRRBB is assessed for risk management purposes.
The Group does not have a regulatory requirement to hold capital against IRRBB. The economic impacts of adverse shifts in interest rates from FINMA-defined scenarios are significantly below 15% of tier 1 capital − the threshold used by the regulator to identify banks that potentially run excessive levels of interest rate risk at group and legal entity levels.
Major sources of interest rate risk in the banking book
We assume interest rate risks in our banking book through lending and deposit-taking, money market and funding activities, and the deployment of our consolidated equity, as well as other activities involving banking book positions at the divisional level. Non-maturing products, such as savings accounts, have no contractual maturity date or direct market-linked interest rate and are risk-managed on a pooled basis using replication portfolios on behalf of the business divisions. Replicating portfolios transform non-maturing products into a series of fixed-term products that approximate the re-pricing and volume behavior of the pooled client transactions.
Risk management and control governance
The Group’s overarching objective is to manage the risk of banking book positions in an efficient and controlled manner, across both regulatory constraints and the Group’s risk appetite frameworks. The Group applies the three lines of defense model to IRRBB with clear segregation between the CFO and the businesses (first line), the CRO (second line) and Internal Audit (third line).
Oversight of business strategies, new initiatives, risk measures and risk appetite is provided by a set of governance committees. The Capital Allocation and Risk Management Committee (CARMC) is the main governance committee for the Group’s funding, liquidity and capital management. The CARMC is responsible for the Group’s IRRBB risk control framework and escalation of risk constraint breaches.
The Group’s Risk Processes and Standards Committee (RPSC) and associated sub-committees are responsible for the oversight and approval of IRRBB-related risk models, global policies, manuals, guidelines and procedures. Divisional and legal entity risk management committees review IRRBB-related matters specific to their local entities and jurisdictions.
Independent model validation is performed by the model risk management function, a CRO unit independent from model developers, which follows specific quality standards and procedures, such as minimum revalidation cycles. The validation outcome is presented to management and to the RPSC for model approval, in accordance with model development policies.
IRRBB is integrated into the Group’s risk appetite framework and is considered by risk constraints formulated by the Group’s Board of Directors for both earnings- and economic value-based risk measures. The Group’s IRRBB risk appetite level – in terms of the change in net present values, also referred to as “delta economic value of equity (∆EVE)” – is primarily driven by the available capital and is allocated to the Group’s material legal entities.
Additionally, the crisis response framework can be triggered by management, for example, due to changing market conditions, and requires IRRBB to be quantitatively assessed in response to a specific crisis event. Since crisis reporting can be triggered anytime, the risk measures may need to be generated on an ad hoc basis, outside the recurring production cycles, to provide management with timely reports focused on the identified driver.
Internal Audit regularly assesses the design and operating effectiveness of our interest rate risk management processes and controls, according to the annual audit plan. Internal Audit is independent from the departments involved in the measurement and management of IRRBB and directly reports to the Group’s Board of Directors.
Hedging
The Group assumes a conservative IRRBB risk strategy, which aims to keep a low exposure profile to economic value risks while maintaining high earnings’ stability. This is achieved mainly by systematic hedging of issued debt and open interest rate risk arising from loans and deposit maturity mismatches in the private banking business.
The main instruments used for hedging are interest rate swaps. Most of these swaps qualify for hedge accounting treatment under US GAAP, which allows for the reduction of economic risks without increasing accounting volatility.
Key risk measures
We monitor the change in net interest income, also referred to as “delta net interest income (∆NII)” on a monthly basis at both the Group and the divisional levels. This is performed by running internal interest rate stress test scenarios on a proprietary model, which follows the Group’s business logic and the expected client behavior. The regulatory ∆NII uses the modelling and parameter assumptions summarized below.
From an economic value perspective, key risk measures are the ∆EVE, representing the change in economic value based on shocked interest rate curves, and the interest rate sensitivity of a one basis point parallel increase in yield curves (DV01). Both are available to management on a daily basis. For internal risk management purposes, we monitor a ΔEVE measure, which covers all banking book positions. For the regulatory ΔEVE measure, we exclude bonds issued as additional tier 1 capital; this is in line with FINMA guidance. Additional ΔEVE modelling and parameter assumptions are summarized below. The regulatory ΔEVE measure is used for both the IRRBB outlier test and for the Pillar 3 disclosures. We monitor this regulatory risk measure on a monthly basis.
Risk measure scenarios
The Group has implemented the FINMA-mandated scenarios on the regulatory ∆EVE and ∆NII risk measures. Beyond the regulatory scenarios, we have also defined a comprehensive set of internal stress test scenarios. The scenarios are reviewed periodically in terms of both scenario selection and calibration of the shocks applied, reflecting changes in macroeconomic conditions and specific interest rate environments.
Key modelling and parametric assumptions
The following list summarizes the key modelling and parameter assumptions used in the IRRBBA1 and IRRBB1 tables:
Regulatory ∆EVE:
■ ∆EVE is measured by excluding client margins and applying risk-free discounting.
■ Following the internal approach for ∆EVE, the aggregation logic for each of the six prescribed regulatory scenarios allows for diversification between the different currencies.
■ Additional tier 1 capital is excluded from the regulatory ∆EVE measure.
■ ∆EVE is calculated using a sensitivity-based approach.
Regulatory ∆NII:
■ The regulatory constant balance sheet assumptions prescribe using both constant volumes and constant margins throughout the one-year horizon.
■ Volumes are kept constant, both in balance sheet size and product composition.
■ Margins are kept at a constant level for the new positions, in line with the maturing positions.
■ In accordance with regulatory guidance, cash positions held at central banks are excluded.
■ Under the regulatory banking book definition, the Group’s banking book contains more liabilities than assets. This is mainly due to trading book assets, which are funded out of banking books. The funding costs out of the banking book are included, while trading book revenues are excluded from the reporting. As a result, the banking book ΔNII disclosed does not include a material source of income.
■ ∆NII is measured including additional tier 1 capital instruments.
■ As of the reporting date, there are no material exposures to customer loans with prepayment optionality.
Additional assumptions and internal approach:
■ All the above-mentioned risk measures are generated based on granular position data and reflect the individual contractual details, while utilizing the latest available market data.
■ The non-maturing deposits’ average repricing maturity has been calculated based on the internal term-replication strategy.
■ The regulatory ΔEVE disclosure results are higher than the internal ΔEVE. This is due to the previously noted exclusion of additional tier 1 capital instruments in the regulatory ΔEVE.
■ The Group manages risks to NII considering internal models that differ from the regulatory ΔNII definition by including dynamic adjustments to client margins and volumes, benefits to or costs from holding cash at central banks and interest received from internal funding of assets by excess banking book liabilities. Under these assumptions, the NII results for the regulatory interest rate scenarios are more stable.
The following table presents the exposure’s structure and repricing period.
IRRBBA1 - Quantitative information on the exposure's structure and repricing period
|
|
|
Volume
|
|
Average repricing
period (years)
|
|
end of 2Q19
|
|
Total
|
|
of which
CHF
|
|
of which
other
significant
currencies
|
1
|
Total
|
|
of which
CHF
|
|
CHF million, except where indicated
|
Definite repricing date
|
|
|
|
|
|
|
|
|
|
|
|
Due from banks
|
|
107,622
|
|
9,696
|
|
92,357
|
|
0.0
|
|
0.0
|
|
Due from customers
|
|
129,758
|
|
19,440
|
|
95,508
|
|
0.4
|
|
0.9
|
|
Money market mortgages
|
|
43,955
|
|
43,955
|
|
0
|
|
0.1
|
|
0.1
|
|
Fixed-rate mortgages
|
|
89,681
|
|
89,681
|
|
0
|
|
4.5
|
|
4.5
|
|
Financial investments
|
|
6,055
|
|
142
|
|
5,126
|
|
0.2
|
|
0.1
|
|
Other receivables
|
|
29
|
|
0
|
|
29
|
|
0.0
|
|
0.0
|
|
Receivables from interest rate derivatives 2
|
|
976,875
|
|
183,249
|
|
769,925
|
|
1.3
|
|
1.8
|
|
Due to banks
|
|
19,439
|
|
4,474
|
|
13,101
|
|
0.2
|
|
0.1
|
|
Customer deposits
|
|
148,151
|
|
5,896
|
|
121,634
|
|
0.1
|
|
0.3
|
|
Cash bonds
|
|
275
|
|
275
|
|
0
|
|
2.0
|
|
2.0
|
|
Bonds issues and central mortage institution loans
|
|
83,788
|
|
13,785
|
|
67,136
|
|
4.3
|
|
8.1
|
|
Other payables
|
|
42,681
|
|
1,782
|
|
40,612
|
|
0.2
|
|
0.1
|
|
Payables to interest rate derivatives 2
|
|
972,774
|
|
230,083
|
|
721,069
|
|
1.1
|
|
1.5
|
|
Indefinite repricing date
|
|
|
|
|
|
|
|
|
|
|
|
Variable mortgages
|
|
1,054
|
|
1,054
|
|
0
|
|
0.2
|
|
0.2
|
|
Other receivables on demand
|
|
2,460
|
|
987
|
|
1,473
|
|
0.1
|
|
0.2
|
|
Payables on demand from personal accounts and current accounts
|
|
171,990
|
|
100,302
|
|
69,667
|
|
1.5
|
|
2.1
|
|
Other payables on demand
|
|
0
|
|
0
|
|
0
|
|
0.1
|
|
0.1
|
|
Payables arising from client deposits, terminable but not transferable (savings)
|
|
40,202
|
|
40,202
|
|
0
|
|
3.0
|
|
3.0
|
|
1
Reflects currencies which represent more than 10% of the assets or liabilities.
|
2
Receivables and liabilities from interest rate derivatives are shown gross, including intercompany transactions.
|
The following table presents information on the exposure’s regulatory ΔEVE and regulatory ΔNII.
IRRBB1 - Quantitative information on the regulatory ∆EVE and regulatory ∆NII
|
end of 2Q19
|
|
ΔEVE
|
1
|
ΔNII
|
2
|
Interest rate shock scenarios (CHF million)
|
Parallel up
|
|
(1,199)
|
|
(2,595)
|
|
Parallel down
|
|
1,346
|
|
3,285
|
|
Steepener shock 3
|
|
(195)
|
|
–
|
|
Flattener shock 4
|
|
(92)
|
|
–
|
|
Rise in short-term interest rates
|
|
(609)
|
|
–
|
|
Fall in short-term interest rates
|
|
592
|
|
–
|
|
Maximum
|
|
(1,199)
|
|
(2,595)
|
|
1
Reflects changes in the net present value.
|
2
Reflects changes in the earnings value.
|
3
Reflects a fall in short-term interest rates combined with a rise in long-term interest rates.
|
4
Reflects a rise in short-term interest rates combined with a fall in long-term interest rates.
|
IRRBB1 - Tier 1 capital
|
end of
|
|
2Q19
|
|
Tier 1 capital (CHF million)
|
Swiss CET1 capital and additional tier 1 capital 1
|
|
50,772
|
|
1
Excludes tier 1 capital, which is used to fulfill gone concern requirements.
|
Additional regulatory disclosures
Credit Suisse is a systemically important financial institution.
> Refer to “Swiss capital requirements” (pages 3 to 4) for the systemically important financial institution view.
The following tables provide details on the composition of Swiss regulatory capital including common equity tier 1 (CET1) capital, additional tier 1 capital and tier 2 capital as if the Group was not a systemically important financial institution.
CC1 - Composition of regulatory capital
|
end of 2Q19
|
|
|
Amounts
|
|
Reference
|
1
|
Swiss CET1 capital (CHF million)
|
1
|
Directly issued qualifying common share (and equivalent for non-joint stock companies) capital plus related stock surplus
|
|
34,321
|
|
1
|
|
2
|
Retained earnings
|
|
28,867
|
|
2
|
|
3
|
Accumulated other comprehensive income (and other reserves) 2
|
|
(19,516)
|
|
3
|
|
6
|
CET1 capital before regulatory adjustments
|
|
43,672
|
|
|
|
8
|
Goodwill, net of tax
|
|
(4,732)
|
|
4
|
|
9
|
Other intangible assets (excluding mortgage servicing rights), net of tax
|
|
(44)
|
|
5
|
|
10
|
Deferred tax assets that rely on future profitability (excluding temporary differences), net of tax
|
|
(1,678)
|
|
6
|
|
11
|
Cash flow hedge reserve
|
|
(51)
|
|
|
|
12
|
Shortfall of provisions to expected losses
|
|
(500)
|
|
|
|
14
|
Gains/(losses) due to changes in own credit on fair-valued liabilities
|
|
2,283
|
|
|
|
15
|
Defined-benefit pension assets
|
|
(2,236)
|
|
7
|
|
16
|
Investments in own shares
|
|
(74)
|
|
|
|
21
|
Deferred tax assets arising from temporary differences (amount above 10% threshold, net of tax)
|
|
0
|
|
8
|
|
26b
|
National specific regulatory adjustments
|
|
(400)
|
|
|
|
28
|
Total regulatory adjustments to CET1 capital
|
|
(7,432)
|
|
|
|
29
|
CET1 capital
|
|
36,240
|
|
|
|
30
|
Directly issued qualifying additional tier 1 instruments plus related stock surplus 3
|
|
11,015
|
|
|
|
32
|
of which classified as liabilities under applicable accounting standards
|
|
11,015
|
|
9
|
|
36
|
Additional tier 1 capital before regulatory adjustments
|
|
11,015
|
|
|
|
37
|
Investments in own additional tier 1 instruments
|
|
(12)
|
|
|
|
43
|
Total regulatory adjustments to additional tier 1 capital
|
|
(12)
|
|
|
|
44
|
Additional tier 1 capital
|
|
11,003
|
|
|
|
Swiss tier 1 capital (CHF million)
|
45
|
Tier 1 capital
|
|
47,243
|
|
|
|
Swiss tier 2 capital (CHF million)
|
46
|
Directly issued qualifying tier 2 instruments plus related stock surplus 4
|
|
3,529
|
|
10
|
|
47
|
Directly issued capital instruments subject to phase-out from tier 2 capital
|
|
373
|
|
11
|
|
58
|
Tier 2 capital
|
|
3,902
|
|
|
|
Swiss eligible capital (CHF million)
|
59
|
Total eligible capital
|
|
51,145
|
|
|
|
1
Refer to the balance sheet under regulatory scope of consolidation in the table "CC2 - Reconciliation of regulatory capital to balance sheet". Only material items are referenced to the balance sheet.
|
2
Includes treasury shares.
|
3
Consists of high-trigger and low-trigger capital instruments. Of this amount, CHF 6.3 billion consists of capital instruments with a capital ratio write-down trigger of 7% and CHF 4.7 billion consists of capital instruments with a capital ratio write-down trigger of 5.125%.
|
4
Consists of low-trigger capital instruments with a capital ratio write-down trigger of 5%.
|
CC1 - Composition of regulatory capital (continued)
|
end of 2Q19
|
|
|
Amounts
|
|
Reference
|
1
|
Swiss risk-weighted assets (CHF million)
|
60
|
Risk-weighted assets
|
|
291,438
|
|
|
|
Swiss risk-based capital ratios as a percentage of risk-weighted assets (%)
|
61
|
CET1 capital ratio
|
|
12.4
|
|
|
|
62
|
Tier 1 capital ratio
|
|
16.2
|
|
|
|
63
|
Total capital ratio
|
|
17.5
|
|
|
|
BIS CET1 buffer requirements (%) 2
|
64
|
Total BIS CET buffer requirement
|
|
3.604
|
|
|
|
65
|
of which capital conservation buffer 3
|
|
2.5
|
|
|
|
66
|
of which extended countercyclical buffer
|
|
0.104
|
|
|
|
67
|
of which progressive buffer for G-SIB and/or D-SIB 3
|
|
1.0
|
|
|
|
68
|
CET1 capital ratio available after meeting the bank's minimum capital requirements 4
|
|
7.9
|
|
|
|
Amounts below the thresholds for deduction (before risk weighting) (CHF million)
|
72
|
Non-significant investments in the capital and other TLAC liabilities of other financial entities
|
|
3,211
|
|
|
|
73
|
Significant investments in the common stock of financial entities
|
|
800
|
|
|
|
74
|
Mortgage servicing rights, net of tax
|
|
135
|
|
|
|
75
|
Deferred tax assets arising from temporary differences, net of tax
|
|
3,296
|
|
|
|
Applicable caps on the inclusion of provisions in tier 2 (CHF million)
|
77
|
Cap on inclusion of provisions in tier 2 under standardized approach
|
|
219
|
|
|
|
79
|
Cap for inclusion of provisions in tier 2 under internal ratings-based approach
|
|
874
|
|
|
|
Capital instruments subject to phase-out arrangements (CHF million)
|
84
|
Current cap on tier 2 instruments subject to phase-out arrangements
|
|
372
|
|
|
|
1
Refer to the balance sheet under regulatory scope of consolidation in the table "CC2 - Reconciliation of regulatory capital to balance sheet". Only material items are referenced to the balance sheet.
|
2
CET1 buffer requirements are based on BIS requirements as a percentage of Swiss risk-weighted assets.
|
3
Reflects the phase-in requirement.
|
4
Reflects the CET1 capital ratio of 12.4%, less the BIS minimum CET1 ratio requirement of 4.5%.
|
The following table presents the balance sheet as published in the consolidated financial statements of the Group and the balance sheet under the regulatory scope of consolidation.
CC2 - Reconciliation of regulatory capital to balance sheet
|
end of 2Q19
|
|
Financial
statements
|
|
Regulatory
scope of
consolidation
|
|
Reference to
composition
of capital
|
|
Assets (CHF million)
|
Cash and due from banks
|
|
92,489
|
|
92,096
|
|
|
|
Interest-bearing deposits with banks
|
|
909
|
|
1,212
|
|
|
|
Central bank funds sold, securities purchased under resale agreements and securities borrowing transactions
|
|
113,466
|
|
113,466
|
|
|
|
Securities received as collateral, at fair value
|
|
45,378
|
|
45,378
|
|
|
|
Trading assets, at fair value
|
|
145,613
|
|
139,067
|
|
|
|
Investment securities
|
|
1,398
|
|
1,398
|
|
|
|
Other investments
|
|
4,986
|
|
4,953
|
|
|
|
Net loans
|
|
293,797
|
|
294,512
|
|
|
|
Goodwill
|
|
4,731
|
|
4,736
|
|
4
|
|
Other intangible assets
|
|
216
|
|
216
|
|
|
|
of which other intangible assets (excluding mortgage servicing rights)
|
|
54
|
|
54
|
|
5
|
|
Brokerage receivables
|
|
41,654
|
|
41,653
|
|
|
|
Other assets
|
|
39,579
|
|
38,830
|
|
|
|
of which deferred tax assets related to net operating losses
|
|
1,678
|
|
1,678
|
|
6
|
|
of which deferred tax assets from temporary differences
|
|
3,109
|
|
2,558
|
|
8
|
|
of which defined-benefit pension fund net assets
|
|
2,880
|
|
2,880
|
|
7
|
|
Total assets
|
|
784,216
|
|
777,517
|
|
|
|
Liabilities and equity (CHF million)
|
Due to banks
|
|
18,498
|
|
19,091
|
|
|
|
Customer deposits
|
|
364,302
|
|
364,446
|
|
|
|
Central bank funds purchased, securities sold under repurchase agreements and securities lending transactions
|
|
19,582
|
|
24,876
|
|
|
|
Obligation to return securities received as collateral, at fair value
|
|
45,378
|
|
45,378
|
|
|
|
Trading liabilities, at fair value
|
|
43,356
|
|
43,413
|
|
|
|
Short-term borrowings
|
|
26,139
|
|
21,132
|
|
|
|
Long-term debt
|
|
157,955
|
|
155,894
|
|
|
|
Brokerage payables
|
|
35,120
|
|
35,120
|
|
|
|
Other liabilities
|
|
29,958
|
|
24,324
|
|
|
|
Total liabilities
|
|
740,288
|
|
733,674
|
|
|
|
of which additional tier 1 instruments, fully eligible
|
|
11,554
|
|
11,003
|
|
9
|
|
of which tier 2 instruments, fully eligible
|
|
4,052
|
|
3,529
|
|
10
|
|
of which tier 2 instruments subject to phase-out
|
|
2,391
|
|
373
|
|
11
|
|
Common shares
|
|
102
|
|
102
|
|
1
|
|
Additional paid-in capital
|
|
34,219
|
|
34,219
|
|
1
|
|
Retained earnings
|
|
28,901
|
|
28,867
|
|
2
|
|
Treasury shares, at cost
|
|
(603)
|
|
(601)
|
|
3
|
|
Accumulated other comprehensive income/(loss)
|
|
(18,946)
|
|
(18,915)
|
|
3
|
|
Total shareholders' equity 1
|
|
43,673
|
|
43,672
|
|
|
|
Noncontrolling interests 2
|
|
255
|
|
171
|
|
|
|
Total equity
|
|
43,928
|
|
43,843
|
|
|
|
Total liabilities and equity
|
|
784,216
|
|
777,517
|
|
|
|
1
Eligible as CET1 capital, prior to regulatory adjustments.
|
2
The difference between the accounting and regulatory scope of consolidation primarily represents private equity and other fund type vehicles, which FINMA does not require to consolidate for capital adequacy reporting.
|
The following table presents the composition of our TLAC.
TLAC1 - TLAC composition for G-SIBs
|
end of
|
|
2Q19
|
|
TLAC (CHF million)
|
CET1 capital
|
|
36,240
|
|
Additional tier 1 instruments eligible under TLAC framework
|
|
14,532
|
|
Tier 2 capital before TLAC adjustments
|
|
373
|
|
TLAC adjustments
|
|
657
|
|
of which amortized portion of tier 2 instruments where remaining maturity > 1 year
|
|
657
|
|
Tier 2 instruments eligible under TLAC framework
|
|
1,030
|
|
TLAC arising from regulatory capital
|
|
51,802
|
|
External TLAC instruments issued directly by Credit Suisse Group AG and subordinated to excluded liabilities
|
|
17,814
|
|
External TLAC instruments issued by funding vehicles prior to January 1, 2022
|
|
22,103
|
|
TLAC arising from non-regulatory capital instruments before adjustments
|
|
39,917
|
|
TLAC before deductions
|
|
91,719
|
|
Deduction of investment in own other TLAC liabilities
|
|
96
|
|
Other adjustments to TLAC
|
|
3,876
|
|
TLAC
|
|
87,747
|
|
Risk-weighted assets and leverage exposure (CHF million)
|
Swiss risk-weighted assets
|
|
291,438
|
|
Leverage exposure
|
|
897,916
|
|
TLAC ratios and buffers (%)
|
TLAC ratio
|
|
30.1
|
|
TLAC leverage ratio
|
|
9.8
|
|
CET1 capital ratio available after meeting the resolution group’s minimum capital and TLAC requirements
|
|
7.9
|
|
Institution-specific buffer requirement (capital conservation buffer plus countercyclical buffer requirements plus higher loss absorbency requirement, expressed as a percentage of risk-weighted assets)
|
|
3.604
|
|
of which capital conservation buffer requirement
|
|
2.5
|
|
of which bank specific countercyclical buffer requirement
|
|
0.104
|
|
of which higher loss absorbency requirement
|
|
1.0
|
|
The following table presents information regarding creditors rankings of the liabilities structure of the resolution entity.
TLAC3 - Resolution entity - Creditor ranking at legal entity level
|
|
|
Creditor ranking
|
|
|
|
end of 2Q19
|
|
Shareholders'
equity
|
|
Subordinated
debt
instruments
Additional
tier 1
|
|
Bail-in debt
instruments
and pari
passu
liabilities
|
1
|
Total
|
|
CHF million
|
Total capital and liabilities net of credit risk mitigation
|
|
46,562
|
|
10,567
|
|
18,330
|
|
75,459
|
|
Excluded liabilities
|
|
–
|
|
–
|
|
367
|
|
367
|
|
Total capital and liabilities less excluded liabilities
|
|
46,562
|
|
10,567
|
|
17,963
|
|
75,092
|
|
of which potentially eligible as TLAC
|
|
46,562
|
|
10,567
|
|
17,595
|
2
|
74,724
|
|
of which residual maturity between 2 to 5 years
|
|
–
|
|
–
|
|
7,787
|
|
7,787
|
|
of which residual maturity between 5 to 10 years
|
|
–
|
|
–
|
|
7,941
|
|
7,941
|
|
of which residual maturity greater than 10 years, excluding perpetual securities
|
|
–
|
|
–
|
|
1,867
|
|
1,867
|
|
of which perpetual securities
|
|
46,562
|
|
10,567
|
|
–
|
|
57,129
|
|
Presented for Credit Suisse Group AG at the legal entity level and therefore instruments issued by subsidiaries and special purpose entities are excluded. Credit Suisse substitutes Credit Suisse Group AG as issuer with another Credit Suisse entity for some TLAC instruments. Amounts are prepared in accordance with the provisions of the Swiss Law on Accounting and Financial Reporting (32nd title of the Swiss Code of Obligations).
|
1
Amount does not include CHF 4,656 million of intercompany liabilities, which are pari passu to the external bail-in debt instruments and are not considered to be excluded liabilities.
|
2
Accrued but not yet paid interest on TLAC instruments is not eligible as TLAC, however can be bailed in by FINMA.
|
Most line items in the following table presents the view as if the Group was not a systemically important financial institution.
KM1 - Key metrics
|
end of
|
|
2Q19
|
|
1Q19
|
|
4Q18
|
|
Capital (CHF million)
|
Swiss CET1 capital
|
|
36,240
|
|
36,422
|
|
35,719
|
|
Swiss tier 1 capital
|
|
47,243
|
|
46,897
|
|
45,935
|
|
Swiss total eligible capital
|
|
51,145
|
|
50,804
|
|
50,134
|
|
Minimum capital requirement (8% of Swiss risk-weighted assets) 1
|
|
23,315
|
|
23,258
|
|
22,815
|
|
Risk-weighted assets (CHF million)
|
Swiss risk-weighted assets
|
|
291,438
|
|
290,729
|
|
285,193
|
|
Risk-based capital ratios as a percentage of risk-weighted assets (%)
|
Swiss CET1 capital ratio
|
|
12.4
|
|
12.5
|
|
12.5
|
|
Swiss tier 1 capital ratio
|
|
16.2
|
|
16.1
|
|
16.1
|
|
Swiss total capital ratio
|
|
17.5
|
|
17.5
|
|
17.6
|
|
BIS CET1 buffer requirements (%) 2
|
Capital conservation buffer
|
|
2.5
|
|
2.5
|
|
1.875
|
|
Extended countercyclical buffer
|
|
0.104
|
|
0.102
|
|
0.09
|
|
Progressive buffer for G-SIB and/or D-SIB
|
|
1.0
|
|
1.0
|
|
1.125
|
|
Total BIS CET1 buffer requirement
|
|
3.604
|
|
3.602
|
|
3.09
|
|
CET1 capital ratio available after meeting the bank's minimum capital requirements 3
|
|
7.9
|
|
8.0
|
|
8.0
|
|
Basel III leverage ratio (CHF million)
|
Leverage exposure
|
|
897,916
|
|
901,814
|
|
881,386
|
|
Basel III leverage ratio (%)
|
|
5.3
|
|
5.2
|
|
5.2
|
|
Liquidity coverage ratio (CHF million) 4
|
Numerator: total high-quality liquid assets
|
|
161,276
|
|
161,401
|
|
161,231
|
|
Denominator: net cash outflows
|
|
83,378
|
|
84,505
|
|
87,811
|
|
Liquidity coverage ratio (%)
|
|
193
|
|
191
|
|
184
|
|
The new current expected credit loss (CECL) model under US GAAP will become effective for Credit Suisse as of January 1, 2020.
|
1
Calculated as 8% of Swiss risk-weighted assets, based on total capital minimum requirements, excluding the BIS CET1 buffer requirements.
|
2
CET1 buffer requirements are based on BIS requirements as a percentage of Swiss risk-weighted assets.
|
3
Reflects the CET1 capital ratio of 12.4%, less the BIS minimum CET1 ratio requirement of 4.5%.
|
4
Calculated using a three-month average, which is calculated on a daily basis.
|
> Refer to “Swiss capital requirements” (pages 3 to 4 for the systemically important financial institution view.
> Refer to “Swiss metrics” (pages 62 to 63) and “Risk-weighted assets” (pages 58 to 59) in II – Treasury, risk, balance sheet and off-balance sheet – Capital management in the Credit Suisse Financial Report 2Q19 for further information on movements in capital, capital ratios, risk-weighted assets and leverage ratios.
> Refer to “Liquidity coverage ratio” (pages 51 to 52) in II – Treasury, risk, balance sheet and off-balance sheet – Liquidity and funding management – Liquidity management in the Credit Suisse Financial Report 2Q19 for further information on movements in liquidity coverage ratio.
> Refer to “Swiss requirements” (pages 54 to 55) in II – Treasury, risk, balance sheet and off-balance sheet – Capital management – Regulatory framework in the Credit Suisse Financial Report 2Q19 for further information on additional CET1 buffer requirements.
The following table presents information about available TLAC and TLAC requirements applied at the resolution group level, which is defined as Credit Suisse Group AG consolidated.
KM2 - Key metrics - TLAC requirements (at resolution group level)
|
end of
|
|
2Q19
|
|
1Q19
|
|
CHF million
|
TLAC
|
|
87,747
|
|
86,900
|
|
Swiss risk-weighted assets
|
|
291,438
|
|
290,729
|
|
TLAC ratio (%)
|
|
30.1
|
|
29.9
|
|
Leverage exposure
|
|
897,916
|
|
901,814
|
|
TLAC leverage ratio (%)
|
|
9.8
|
|
9.6
|
|
Does the subordination exemption in the antepenultimate paragraph of Section 11 of the FSB TLAC Term Sheet apply?
|
|
No
|
|
No
|
|
Does the subordination exemption in the penultimate paragraph of Section 11 of the FSB TLAC Term Sheet apply?
|
|
No
|
|
No
|
|
If the capped subordination exemption applies, the amount of funding issued that ranks pari passu with Excluded Liabilities and that is recognized as external TLAC, divided by funding issued that ranks pari passu with Excluded Liabilities and that would be recognized as external TLAC if no cap was applied (%)
|
|
N/A - refer to our response above
|
|
N/A - refer to our response above
|
|
Macroprudential supervisor measures
The following table presents an overview of the geographical distribution of RWA for private sector credit exposures used in the calculation of the extended countercyclical buffer (CCyB).
CCyB1 - Geographical distribution of risk-weighted assets used in the CCyB
|
end of
|
|
CCyB
rate (%)
|
|
RWA used
in the
computation
of the CCyB
|
|
Bank-
specific
CCyB
rate (%)
|
|
CCyB
amount
|
|
2Q19 (CHF million)
|
Hong Kong
|
|
2.500
|
|
3,441
|
|
–
|
|
–
|
|
Sweden
|
|
2.000
|
|
440
|
|
–
|
|
–
|
|
UK
|
|
1.0
|
|
9,405
|
|
–
|
|
–
|
|
Subtotal
|
|
–
|
|
13,286
|
|
–
|
|
–
|
|
Other countries
|
|
0.0
|
|
168,146
|
|
–
|
|
–
|
|
Total 1
|
|
–
|
|
181,432
|
|
0.104
|
|
303
|
|
4Q18 (CHF million)
|
Hong Kong
|
|
1.875
|
|
3,060
|
|
–
|
|
–
|
|
Sweden
|
|
1.875
|
|
394
|
|
–
|
|
–
|
|
UK
|
|
1.0
|
|
9,468
|
|
–
|
|
–
|
|
Subtotal
|
|
–
|
|
12,922
|
|
–
|
|
–
|
|
Other countries
|
|
0.0
|
|
164,020
|
|
–
|
|
–
|
|
Total 1
|
|
–
|
|
176,942
|
|
0.09
|
|
257
|
2
|
1
Reflects the total of RWA for private sector credit exposures across all jurisdictions to which the Group is exposed, including jurisdictions with no CCyB rate or with a CCyB rate set at zero, and value of the Group specific CCyB rate and resulting CCyB amount.
|
2
Prior period has been corrected.
|
Credit Suisse has adopted the BIS leverage ratio framework, as issued by the BCBS and implemented in Switzerland by FINMA.
> Refer to “Leverage metrics” (pages 61 to 62) and “Swiss metrics” (pages 62 to 63) in II – Treasury, risk, balance sheet and off-balance sheet – Capital management in the Credit Suisse Financial Report 2Q19 for further information on leverage metrics, including the calculation methodology and movements in leverage exposures.
LR1 - Summary comparison of accounting assets vs leverage ratio exposure
|
end of
|
|
2Q19
|
|
Reconciliation of consolidated assets to leverage exposure (CHF million)
|
Total consolidated assets as per published financial statements
|
|
784,216
|
|
Adjustment for investments in banking, financial, insurance or commercial entities that are consolidated for accounting purposes but outside the scope of regulatory consolidation 1
|
|
(14,099)
|
|
Adjustments for derivatives financial instruments
|
|
74,518
|
|
Adjustments for SFTs (i.e. repos and similar secured lending)
|
|
(35,025)
|
|
Adjustments for off-balance sheet items (i.e. conversion to credit equivalent amounts of off-balance sheet exposures)
|
|
88,306
|
|
Leverage exposure
|
|
897,916
|
|
1
Includes adjustments for investments in banking, financial, insurance or commercial entities that are consolidated for accounting purposes but outside the scope of regulatory consolidation and tier 1 capital deductions related to balance sheet assets.
|
LR2 - Leverage ratio common disclosure template
|
end of
|
|
2Q19
|
|
Reconciliation of consolidated assets to leverage exposure (CHF million)
|
On-balance sheet items (excluding derivatives and SFTs, but including collateral)
|
|
583,089
|
|
Asset amounts deducted from Basel III tier 1 capital
|
|
(9,555)
|
|
Total on-balance sheet exposures
|
|
573,534
|
|
Reconciliation of consolidated assets to leverage exposure (CHF million)
|
Replacement cost associated with all derivatives transactions (i.e. net of eligible cash variation margin)
|
|
24,043
|
|
Add-on amounts for PFE associated with all derivatives transactions
|
|
75,367
|
|
Gross-up for derivatives collateral provided where deducted from the balance sheet assets pursuant to the operative accounting framework
|
|
19,550
|
|
Deductions of receivables assets for cash variation margin provided in derivatives transactions
|
|
(18,525)
|
|
Exempted CCP leg of client-cleared trade exposures
|
|
(13,174)
|
|
Adjusted effective notional amount of all written credit derivatives
|
|
192,032
|
|
Adjusted effective notional offsets and add-on deductions for written credit derivatives
|
|
(185,116)
|
|
Derivative Exposures
|
|
94,177
|
|
Securities financing transaction exposures (CHF million)
|
Gross SFT assets (with no recognition of netting), after adjusting for sale accounting transactions
|
|
145,966
|
|
Netted amounts of cash payables and cash receivables of gross SFT assets
|
|
(14,420)
|
|
Counterparty credit risk exposure for SFT assets
|
|
11,944
|
|
Agent transaction exposures
|
|
(1,591)
|
|
Securities financing transaction exposures
|
|
141,899
|
|
Other off-balance sheet exposures (CHF million)
|
Off-balance sheet exposure at gross notional amount
|
|
270,666
|
|
Adjustments for conversion to credit equivalent amounts
|
|
(182,360)
|
|
Other off-balance sheet exposures
|
|
88,306
|
|
Swiss tier 1 capital (CHF million)
|
Swiss tier 1 capital
|
|
47,243
|
|
Leverage exposure (CHF million)
|
Leverage exposure
|
|
897,916
|
|
Leverage ratio (%)
|
Basel III leverage ratio
|
|
5.3
|
|
Liquidity coverage ratio
Our calculation methodology for the liquidity coverage ratio (LCR) is prescribed by FINMA. For disclosure purposes our LCR is calculated using a three-month average which, is measured using daily calculations during the quarter.
> Refer to “Liquidity metrics” (pages 51 to 52) and “Funding sources” (page 52) in II – Treasury, risk, balance sheet and off-balance sheet – Liquidity and funding management in the Credit Suisse Financial Report 2Q19 for further information on the Group’s liquidity coverage ratio including high-quality liquid assets, liquidity pool and funding sources.
LIQ1 - Liquidity coverage ratio
|
end of 2Q19
|
|
Unweighted
value
|
1
|
Weighted
value
|
2
|
High-quality liquid assets (CHF million)
|
High-quality liquid assets
|
|
–
|
|
161,276
|
|
Cash outflows (CHF million)
|
Retail deposits and deposits from small business customers
|
|
164,422
|
|
21,393
|
|
of which less stable deposits
|
|
164,422
|
|
21,393
|
|
Unsecured wholesale funding
|
|
218,340
|
|
88,429
|
|
of which operational deposits (all counterparties) and deposits in networks of cooperative banks
|
|
36,326
|
|
9,082
|
|
of which non-operational deposits (all counterparties)
|
|
108,857
|
|
61,102
|
|
of which unsecured debt
|
|
17,784
|
|
17,784
|
|
Secured wholesale funding
|
|
–
|
|
56,631
|
|
Additional requirements
|
|
160,454
|
|
33,533
|
|
of which outflows related to derivative exposures and other collateral requirements
|
|
53,894
|
|
13,088
|
|
of which outflows related to loss of funding on debt products
|
|
379
|
|
379
|
|
of which credit and liquidity facilities
|
|
106,181
|
|
20,066
|
|
Other contractual funding obligations
|
|
58,675
|
|
58,675
|
|
Other contingent funding obligations
|
|
217,084
|
|
5,617
|
|
Total cash outflows
|
|
–
|
|
264,278
|
|
Cash inflows (CHF million)
|
Secured lending
|
|
131,514
|
|
87,596
|
|
Inflows from fully performing exposures
|
|
69,657
|
|
33,292
|
|
Other cash inflows
|
|
60,012
|
|
60,012
|
|
Total cash inflows
|
|
261,183
|
|
180,900
|
|
Liquidity cover ratio (CHF million)
|
High-quality liquid assets
|
|
–
|
|
161,276
|
|
Net cash outflows
|
|
–
|
|
83,378
|
|
Liquidity coverage ratio (%)
|
|
–
|
|
193
|
|
Calculated based on an average of 61 data points in 2Q19.
|
1
Calculated as outstanding balances maturing or callable within 30 days.
|
2
Calculated after the application of haircuts for high-quality liquid assets or inflow and outflow rates.
|
A
|
ABS
|
|
Asset-backed securities
|
A-IRB
|
|
Advanced-Internal Ratings-Based Approach
|
AMA
|
|
Advanced Measurement Approach
|
B
|
BCBS
|
|
Basel Committee on Banking Supervision
|
BIS
|
|
Bank for International Settlements
|
C
|
CAO
|
|
Capital Adequacy Ordinance
|
CARMC
|
|
Capital Allocation & Risk Management Committee
|
CCF
|
|
Credit Conversion Factor
|
CCP
|
|
Central counterparties
|
CCR
|
|
Counterparty credit risk
|
CCyB
|
|
Countercyclical buffer
|
CDO
|
|
Collateralized debt obligation
|
CDS
|
|
Credit default swap
|
CECL
|
|
Current expected credit loss
|
CET1
|
|
Common equity tier 1
|
CFO
|
|
Chief Financial Officer
|
CLO
|
|
Collateralized loan obligation
|
CRM
|
|
Credit Risk Mitigation
|
CRO
|
|
Credit Risk Officer
|
CVA
|
|
Credit valuation adjustment
|
D
|
D-SIB
|
|
Domestic systemically important banks
|
E
|
EAD
|
|
Exposure at default
|
EEPE
|
|
Effective Expected Positive Exposure
|
F
|
FINMA
|
|
Swiss Financial Market Supervisory Authority FINMA
|
FSB
|
|
Financial Stability Board
|
G
|
G-SIB
|
|
Global systemically important banks
|
I
|
IAA
|
|
Internal Assessment Approach
|
IMA
|
|
Internal Models Approach
|
IMM
|
|
Internal Models Method
|
IPRE
|
|
Income producing real estate
|
IRB
|
|
Internal Ratings-Based Approach
|
IRRBB
|
|
Interest rate risk in the banking book
|
IRC
|
|
Incremental Risk Charge
|
L
|
LCR
|
|
Liquidity coverage ratio
|
|
LGD
|
|
Loss given default
|
|
LRD
|
|
Leverage ratio denominator
|
|
N
|
NII
|
|
Net interest income
|
|
O
|
OTC
|
|
Over-the-counter
|
|
P
|
P&L
|
|
Profits and losses
|
|
PD
|
|
Probability of default
|
|
PFE
|
|
Potential future exposure
|
|
Q
|
QCCP
|
|
Qualifying central counterparty
|
|
R
|
RPSC
|
|
Risk Processes & Standards Committee
|
|
RW
|
|
Risk weight
|
|
RWA
|
|
Risk-weighted assets
|
|
S
|
SA
|
|
Standardized Approach
|
|
SA-CCR
|
|
Standardized Approach - counterparty credit risk
|
|
SEC-ERBA
|
|
Securitization External Ratings-Based Approach
|
|
SEC-IRBA
|
|
Securitization Internal Ratings-Based Approach
|
|
SEC-SA
|
|
Securitization Standardized Approach
|
|
SFT
|
|
Securities financing transactions
|
|
T
|
TLAC
|
|
Total loss-absorbing capacity
|
|
U
|
US GAAP
|
|
Accounting principles generally accepted in the US
|
|
V
|
VaR
|
|
Value-at-Risk
|
|
∆
|
∆EVE
|
|
Delta economic value of equity
|
|
∆NII
|
|
Delta net interest income
|
|
Cautionary statement regarding forward-looking information
This document contains statements that constitute forward-looking statements. In addition, in the future we, and others on our behalf, may make statements that constitute forward-looking statements. Such forward-looking statements may include, without limitation, statements relating to the following:
■ our plans, targets or goals;
■ our future economic performance or prospects;
■ the potential effect on our future performance of certain contingencies; and
■ assumptions underlying any such statements.
Words such as “believes,” “anticipates,” “expects,” “intends” and “plans” and similar expressions are intended to identify forward-looking statements but are not the exclusive means of identifying such statements. We do not intend to update these forward-looking statements.
By their very nature, forward-looking statements involve inherent risks and uncertainties, both general and specific, and risks exist that predictions, forecasts, projections and other outcomes described or implied in forward-looking statements will not be achieved. We caution you that a number of important factors could cause results to differ materially from the plans, targets, goals, expectations, estimates and intentions expressed in such forward-looking statements. These factors include:
■ the ability to maintain sufficient liquidity and access capital markets;
■ market volatility and interest rate fluctuations and developments affecting interest rate levels;
■ the strength of the global economy in general and the strength of the economies of the countries in which we conduct our operations, in particular the risk of continued slow economic recovery or downturn in the EU, the US or other developed countries or in emerging markets in 2019 and beyond;
■ the direct and indirect impacts of deterioration or slow recovery in residential and commercial real estate markets;
■ adverse rating actions by credit rating agencies in respect of us, sovereign issuers, structured credit products or other credit-related exposures;
■ the ability to achieve our strategic goals, including those related to our targets and financial goals;
■ the ability of counterparties to meet their obligations to us;
■ the effects of, and changes in, fiscal, monetary, exchange rate, trade and tax policies, as well as currency fluctuations;
■ political and social developments, including war, civil unrest or terrorist activity;
■ the possibility of foreign exchange controls, expropriation, nationalization or confiscation of assets in countries in which we conduct our operations;
■ operational factors such as systems failure, human error, or the failure to implement procedures properly;
■ the risk of cyber attacks, information or security breaches or technology failures on our business or operations;
■ the adverse resolution of litigation, regulatory proceedings and other contingencies;
■ actions taken by regulators with respect to our business and practices and possible resulting changes to our business organization, practices and policies in countries in which we conduct our operations;
■ the effects of changes in laws, regulations or accounting or tax standards, policies or practices in countries in which we conduct our operations;
■ the potential effects of changes in our legal entity structure;
■ competition or changes in our competitive position in geographic and business areas in which we conduct our operations;
■ the ability to retain and recruit qualified personnel;
■ the ability to maintain our reputation and promote our brand;
■ the ability to increase market share and control expenses;
■ the timely development and acceptance of our new products and services and the perceived overall value of these products and services by users;
■ acquisitions, including the ability to integrate acquired businesses successfully, and divestitures, including the ability to sell non-core assets; and
■ other unforeseen or unexpected events and our success at managing these and the risks involved in the foregoing.
We caution you that the foregoing list of important factors is not exclusive. When evaluating forward-looking statements, you should carefully consider the foregoing factors and other uncertainties and events, including the information set forth in “Risk factors” in I – Information on the company in our Annual Report 2018.
Credit Suisse (PK) (USOTC:CSGKF)
과거 데이터 주식 차트
부터 5월(5) 2024 으로 6월(6) 2024
Credit Suisse (PK) (USOTC:CSGKF)
과거 데이터 주식 차트
부터 6월(6) 2023 으로 6월(6) 2024