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Assessing the Finalised Basel III Banking Regulation Regime

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Globalisation and Finance at the Crossroads

Abstract

The authors summarise the final version of Basel III, reducing thousands of pages to a necessary few. They argue that supervisors appear to believe the problem all along was just the need for greater granularity and more model-based sensitivity, rather than fundamental flaws in the framework itself (its one-size-fits-all and portfolio invariance assumptions; and contaminating bank risk models by linking them to regulatory capital charges). They opine that banks have defended their risky business models very well and thus the reform process is not over: separating investment banking and imposing a sufficient binding leverage ratio (LR) remain on the table. They suggest that such a pre-emptive approach is needed to deal with the underpricing of risk and are dismissive of mechanical modelling of stress scenarios to estimate capital requirements.

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Notes

  1. 1.

    Deductions such as goodwill, deferred tax assets and a number of intangibles are to be phased in by 2019.

  2. 2.

    The replacement cost of the netting set is the fair value of the netted amounts minus the variation margin received plus the variation margin provided by the non-defaulting bank.

  3. 3.

    For details see FSB (2015).

  4. 4.

    See BCBS (2014).

  5. 5.

    For derivatives and for SFT.

  6. 6.

    See BCBS (2013).

  7. 7.

    Clearing and margin rule improvements under Dodd-Frank and European Market Infrastructure Regulation (EMIR) have helped to reduce systemic risk for broker dealers. These tend to vary between jurisdictions and have evolved: use of swap execution facilities; pre-determined minimums for initial and variation margins on un-cleared derivative transactions; the quality of collateral; trade reporting to repositories, etc.

  8. 8.

    See BCBS (2017b).

  9. 9.

    And new metrics for haircuts apply where collateral is involved.

  10. 10.

    The RWA is equal to 12.5*[EAD*Estimated Capital Required]. But the estimated capital requirement depends on a complex formula that includes the estimated PD.

  11. 11.

    Exposure amounts are by netting set: the effective maturity, times the EAD, times a Supervisory Discount Factor.

  12. 12.

    For example, a bank like Goldman Sachs might hedge its exposure to AIG CDS insurance of its structured mortgage products by buying a calibrated CDS on AIG itself, as a single-name hedge, or (with less precision) it could buy a put on the insurance sector index. Single-name hedge offsets to CVA have their own supervisory-determined correlation between the credit spread of the counterparty versus that of the hedge name; their own risk weight; their notional amount; and a supervisor discount factor. Similar thinking goes into index hedges.

  13. 13.

    Blundell-Wignall et al. (2010, p. 17).

  14. 14.

    See Dombrovskis (2016). The European Banking Federation republished the speech under its own banner.

  15. 15.

    These include leverage reforms in the USA, rule writing under the Dodd-Frank Act and the continuing amendments to the European Union’s CRD IV (Capital Requirements Directive for Prudential Supervision) and capital requirements regulation (CRR).

  16. 16.

    A buffer of 2% versus the Basel leverage ratio of only 3%—for bank holding companies (BHCs) with $700bn of assets or $10tn under custody. This must be a 6% LR for insured depository institutions (IDIs) within the group. These rules will be effective from 1 January 2018. Smaller foreign IHCs will have to undergo stress testing if consolidated assets are $10bn.

  17. 17.

    Smaller foreign IHCs will have to undergo stress testing if consolidated assets are $10bn. The European Union established a similar rule at €30bn.

  18. 18.

    For any two or more institutions owned by a non-EU parent with assets of branches and/or subsidiaries greater than EUR30bn.

  19. 19.

    See also Federal Reserve (2012).

  20. 20.

    See Federal Reserve (2013).

  21. 21.

    There is a slightly faster cycle for publishing the result if banks have over $50bn in consolidated assets.

  22. 22.

    This is sometimes put down to Brussels State Aid laws (the use of public funds) relating to competition policy in Europe, which is a complicating factor for a Bad Bank of any meaningful size.

  23. 23.

    All charts are based on a global sample of publicly traded and non-listed commercial banks over the 2008–2016 period. If no data were available for 2016, then 2015 data are used. The sample consists of 1845 commercial banks (302 in Europe, 116 in Japan, 15 in Australia, 91 in Latin America, 281 in Asia and 1040 in the USA). This analysis is based on annual consolidated financial statements extracted from SNL Financials and Bloomberg.

  24. 24.

    See Blundell-Wignall, Atkinson, in collaboration with Eddins (2011).

  25. 25.

    This example is drawn from Blundell-Wignall and Atkinson (2015).

  26. 26.

    Presumably, if there were only 2 counterparties for the large universe of all derivatives, the banks could expand gross derivative assets towards infinity with no risk charge at all.

  27. 27.

    This definition would require higher minima to meet official minimums where netting is allowed.

  28. 28.

    Note that the 1.06 scalar for credit weightings in Eq. (2.1) has been dropped as part of the Basel III finalisation—see below.

  29. 29.

    This brief summary follows a reading of BCBS (2016a).

  30. 30.

    For example, for GIRR this might be corporate bond curves affected by market implied inflation risk and other correlated variables.

  31. 31.

    It is ‘the simple sum of gross notional amounts of the instruments bearing residual risks, multiplied by a risk weight of 1.0% for instruments with an exotic underlying and a risk weight of 0.1% for instruments bearing other residual risks’ (BCBS 2016a, p. 19).

  32. 32.

    See BCBS (2014).

  33. 33.

    A bank is exposed to the default of the counterparty of a derivatives trade when it is in the money (has a positive mark-to-market value of the position). Within each netting set, negative (out of the money) mark-to-market positions can be offset against the bank’s exposures for the purposes of the capital charge.

References

  • Basel Committee on Banking Supervision. (2013, January). Basel III: The Liquidity Coverage Ratio and Liquidity Risk Monitoring Tools.

    Google Scholar 

  • Basel Committee on Banking Supervision. (2014, January). The Standardised Approach for Measuring Counterparty Credit Risk Exposures. Available at: https://www.bis.org/publ/bcbs279.pdf.

  • Basel Committee on Banking Supervision. (2016a, January). Minimum Capital Requirements for Market Risk. Available at: https://www.bis.org/bcbs/publ/d352.pdf.

  • Basel Committee on Banking Supervision. (2017a, December). High-Level Summary of Basel III Reforms. Basel. Available at: https://www.bis.org/bcbs/publ/d424_hlsummary.pdf.

  • Basel Committee on Banking Supervision. (2017b, December). Finalising Basel III Reforms. Basel. Available at: https://www.bis.org/bcbs/publ/d424.pdf.

  • Blundell-Wignall, A. & Atkinson, P. (2010). Thinking beyond Basel III: Necessary Solutions for Capital and Liquidity. OECD Journal, Financial Market Trends, 2010 (1), 9–33.

    Google Scholar 

  • Blundell-Wignall, A., & Atkinson, P. E. (in collaboration with Samuel Eddins). (2011). Global SIFIs, Derivatives and Financial Stability. OECD Journal, Financial Market Trends, 2011(1).

    Google Scholar 

  • Blundell-Wignall, A., & Atkinson, P. E. (2015). Basel Regulation Needs to Be Rethought in an Age of Derivatives. In J. Danielsson (Ed.), Post-crisis Banking Regulation: Evolution of Economic Thinking as It Happened on Vox. London: CEPR Press.

    Google Scholar 

  • Dombrovskis, V. P. (2016, September 29). Embracing Disruption. Speech to the European Banking Federation.

    Google Scholar 

  • Federal Reserve. (2012, December 14). Proposed Rules to Strengthen the Oversight of US Operations of Foreign Banks.

    Google Scholar 

  • Federal Reserve. (2013, March 14). Comprehensive Capital Analysis and Review 2013: Assessment Framework and Results.

    Google Scholar 

  • FSB. (2015, November). Principles on Loss-Absorbing and Recapitalisation Capacity of G-SIBs in Resolution. Basel. Available at: http://www.fsb.org/2015/11/total-loss-absorbing-capacity-tlac-principles-and-term-sheet/.

  • Hoenig, T. (2016, November 9). Strengthening Global Capital: An Opportunity Not to Be Lost—Remarks by FDIC Vice Chairman Thomas M. Hoenig to the 22nd Annual Risk US Conference, New York.

    Google Scholar 

  • Mnuchin, S. T. & Phillips, C. S. (2017). A Financial System that Creates Economic Opportunities: Banks and Credit Unions. US Department of the Treasury.

    Google Scholar 

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Appendix to Chapter 8: Technical Details of Revisions to Securitisation , Market Risk and Counterparty Credit Risk Capital Charge Frameworks

Appendix to Chapter 8: Technical Details of Revisions to Securitisation , Market Risk and Counterparty Credit Risk Capital Charge Frameworks

Revision to the Securitisation Framework

Securitisation (discussed in Chapter 2) was perhaps one of the most important drivers of the crisis. Securitisation involves many players that ultimately generate investable instruments based on underlying pools of assets (that can be held on balance sheet or structured as liabilities of SPVs in senior, mezzanine and equity tranches with external credit ratings). The role of credit rating agencies in this process was very problematic (see Chapter 4). Banks can be originators of securitisations and/or investors in the liabilities. Regulatory treatment of off-balance sheet vehicles depends on the degree of control over the SPV . Where there is some control relationship, the revised rules try to reduce the role of external ratings—which is only partially achieved.

The new framework introduces a hierarchy of three choices: (i) if approved for the IRB modelling approach in the capital framework, then use it (and internal assessments can be used for asset-backed commercial paper); (ii) if not IRB approved but approved for external ratings, then use those; and (iii) where neither of these is possible, use the SA. The last of these becomes necessary in many cases as the new framework has more granular tranches (and also distinguishes the so-called thickness of tranches) that need to be rated. The SA applies typical Basel formulas to calculate the securitisation capital charge, based on inputs that start with the 8% capital charge that would apply had the exposure not been securitised (the underlying pool). It then makes adjustments for delinquencies and the attachment and detachment points of the tranches (see Chapter 4). If none of the above three approaches can be used, then a risk weight of 1250% is applied to the exposure.

There are likely to be mixed pools in this process—for example, where the IRB approach applies and but where the standardised approach is needed for parts that can’t be modelled. Further complicating the picture is the use of maximum risk weight caps for senior tranches based on good quality underlying pools (which might have risk weights as low as 15%). Furthermore, when all the capital charges are added up, the bank can apply a maximum capital charge of no more than what it would have been for the underlying (not securitised) pool of assets. The reason for these caps is that policy makers want to encourage the rejuvenation of the securitisation markets to help the economy.

The amount of discretion available to banks in this framework still allows plenty of scope for bank optimising their capital requirements.

Market Risk Reform

MR relates to risk of losses on- and off-balance sheet arising from changes in market prices of the so-called trading book assets. Recall from Chapter 2 that the capital to be required to cover for MR is included in the RWA formula scaled up by 12.5Footnote 28:

$${\text{RWA}} = 12.5({\text{OR}} + {\text{MR}}) + {\text{SUM}}[{{w}({i}){A}({i})}]$$

Prior to the fundamental review of the trading book and the resulting final reforms, MR was based on default risk and an incremental charge related to rating migration risk (rating changes that trigger mark-to-market losses) and an additional value-at-risk (VaR) capital charge based on a stressed scenario. Securitisation was excluded (treated separately from MR in the banking book). Otherwise, the boundary between what should be in the trading book and in the banking book was left unchanged.

The fundamental review is expected to significantly raise capital charges for MR .Footnote 29 It first clarifies the boundary between banking and trading books: there is now a clear list of presumptive inclusions in each based on intent-to-trade versus hold-to-maturity. Second, a more risk-sensitive approach is adopted for the standardised and internal models approaches to MR in the final version.

Standard Approach to MR

The SA to MR is the sum of three elements: (i) a sensitivity-based method (SBM) risk charge; (ii) a default risk charge (DRC); and (iii) a residual risk add-on (RRAO).

  • For the SBM: there are seven risk classes: general interest rate risk (GIRR); credit spread risk (CSR) for non-securitisation; CSR for securitisations not correlated to the trading portfolio; CSR for securitisations that are correlated; equity risk; commodity risk; and foreign exchange risk. Risk factors are mapped into these risk classes: that is, variables in the pricing function used by the bank trading desk for given instruments for reporting profit and loss positions to management.Footnote 30 These risk factors are shocked for a stress scenario, and sensitivity risk positions are calculated. These are then multiplied by prescribed risk weights and risk positions with common characteristics (‘buckets’) are aggregated. Diversification benefits are allowed within each risk class but not between them.

  • The DRC: is to capture stress events in the tail of the default distribution not captured by credit spread shocks in mark-to-market risk. A jump-to-default (JTD) is calculated, which is a function of the notional value of each position (separately), its market value and the prescribed LGD. Some offsetting diversification benefits are allowed so that net JTD can be calculated. These are allocated to risk buckets, and the appropriate risk weight is applied. Total DRC adds up these elements.

  • The RRAO: is for instruments where model sensitivities cannot be calculated.Footnote 31

The three risk positions are then added to obtain trading book MR (which multiplied by 12.5 gives the RWA ).

Internal Models Approach to MR

For the internal models approach (for approved sophisticated banks), the main innovation compared to previous Basel attempts is to move away from VaR method towards the concept of ‘expected shortfall’ (ES) under a stress scenario, which is somewhat tougher. VaR asked what the maximum 1-day loss in dollar terms would not be exceeded at the 99% confidence level over a given trading period. ES asks, conditional on a tail event actually occurring (i.e. being in the tail beyond the 97.5 confidence level), what could be the potential loss? This change requires risk factors for modelling losses to use more complex metrics from back-testing over a stressed period, using the finance concepts of delta, vega and curvature risk (see Glossary).

All banks must calculate the SA charge (even if they use the internal model approach). Much stricter conditions apply for banks being able to use internal models for nominated trading book portfolios. In particular, they have to be based on a database of verifiable market prices. Both the SBA and the DRC are treated as being able to be modelled for trading book exposures, but the RRAO is not.

Counterparty Credit Risk

CCR for derivatives (risk of bilateral counterparty default) is calculated either by using the standardised approach (SA-CCR) or by using internal models.Footnote 32 CCR exposures are calculated as a multiple of the replacement cost of the exposure (for an immediate close out) plus the potential future exposure. The replacement cost of un-margined derivatives is the maximum of: (i) zero or (ii) the sum of mark-to-market exposures within a netting set, minus any related collateral held. For margined derivatives, it is the maximum within a netting set of: (i) zero; (ii) the sum of values in the netting set less associated collateral ; or (iii) the largest exposure that would not trigger a margin call net of any independent collateral held.Footnote 33 Potential future exposure is a multiplier (to allow for over-collateralisation) times an aggregate add-on for each netting set within an asset class (interest rate, foreign exchange, credit equity and commodity derivatives ) based on the notional amount, its maturity and its delta-adjustment to the underlying price.

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Blundell-Wignall, A., Atkinson, P., Roulet, C. (2018). Assessing the Finalised Basel III Banking Regulation Regime. In: Globalisation and Finance at the Crossroads. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-72676-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-72676-2_8

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