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The more the merrier? Evidence on the value of multiple requirements in bank regulation

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  • Buckmann, Marcus
  • Gallego Marquez, Paula
  • Gimpelewicz, Mariana
  • Kapadia, Sujit
  • Rismanchi, Katie

Abstract

This paper assesses the value of multiple requirements in bank regulation using a novel empirical rule-based methodology. Exploiting two datasets, we apply simple threshold-based rules to assess how different capital and liquidity ratios individually and in combination might have identified banks that failed in the global financial crisis and European sovereign debt crisis. Our results support the case for a small portfolio of different regulatory metrics, calibrated holistically. A portfolio of a leverage ratio, a risk-weighted capital ratio and a liquidity ratio such as the NSFR correctly identifies a high proportion of failing banks with fewer false alarms than any of these metrics individually – and at less stringent calibrations. The relative usefulness of individual metrics also varies across different crises and regulatory regimes, highlighting how a portfolio approach may be more robust. Further, we show that market-based capitalisation measures and loan-to-deposit ratios can provide complementary value in monitoring banks.

Suggested Citation

  • Buckmann, Marcus & Gallego Marquez, Paula & Gimpelewicz, Mariana & Kapadia, Sujit & Rismanchi, Katie, 2023. "The more the merrier? Evidence on the value of multiple requirements in bank regulation," Journal of Banking & Finance, Elsevier, vol. 149(C).
  • Handle: RePEc:eee:jbfina:v:149:y:2023:i:c:s0378426622003338
    DOI: 10.1016/j.jbankfin.2022.106753
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    as
    1. Mr. Luc Laeven & Mr. Fabian Valencia, 2010. "Resolution of Banking Crises: The Good, the Bad, and the Ugly," IMF Working Papers 2010/146, International Monetary Fund.
    2. Behn, Markus & Corrias, Renzo & Rola-Janicka, Magdalena, 2019. "On the interaction between different bank liquidity requirements," Macroprudential Bulletin, European Central Bank, vol. 9.
    3. David Aikman & Mirta Galesic & Gerd Gigerenzer & Sujit Kapadia & Konstantinos Katsikopoulos & Amit Kothiyal & Emma Murphy & Tobias Neumann, 2021. "Taking uncertainty seriously: simplicity versus complexity in financial regulation [Uncertainty in macroeconomic policy-making: art or science?]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(2), pages 317-345.
    4. Robin Greenwood & Samuel G. Hanson & Jeremy C. Stein & Adi Sunderam, 2017. "Strengthening and Streamlining Bank Capital Regulation," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 48(2 (Fall)), pages 479-565.
    5. Andrew G. Haldane & Vasileios Madouros, 2012. "The dog and the frisbee," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 109-159.
    6. Graciela Kaminsky & Saul Lizondo & Carmen M. Reinhart, 1998. "Leading Indicators of Currency Crises," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 1-48, March.
    7. Ravi Kumar, P. & Ravi, V., 2007. "Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review," European Journal of Operational Research, Elsevier, vol. 180(1), pages 1-28, July.
    8. Sanders, Austen & Willison, Matthew, 2021. "Measure for measure: evidence on the relative performance of regulatory requirements for small and large banks," Bank of England working papers 922, Bank of England.
    9. Rebel Cole & Lawrence White, 2012. "Déjà Vu All Over Again: The Causes of U.S. Commercial Bank Failures This Time Around," Journal of Financial Services Research, Springer;Western Finance Association, vol. 42(1), pages 5-29, October.
    10. Bongini, Paola & Laeven, Luc & Majnoni, Giovanni, 2002. "How good is the market at assessing bank fragility? A horse race between different indicators," Journal of Banking & Finance, Elsevier, vol. 26(5), pages 1011-1028, May.
    11. Kiema, Ilkka & Jokivuolle, Esa, 2014. "Does a leverage ratio requirement increase bank stability?," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 240-254.
    12. Betz, Frank & Oprică, Silviu & Peltonen, Tuomas A. & Sarlin, Peter, 2014. "Predicting distress in European banks," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 225-241.
    13. Yoshua Bengio & Claude Nadeau, 1999. "Inference for the Generalization Error," CIRANO Working Papers 99s-25, CIRANO.
    14. Boyd, John H. & Heitz, Amanda, 2016. "The social costs and benefits of too-big-to-fail banks: A “bounding” exercise," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 251-265.
    15. Berger, Allen N & Davies, Sally M & Flannery, Mark J, 2000. "Comparing Market and Supervisory Assessments of Bank Performance: Who Knows What When?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(3), pages 641-667, August.
    16. Le, Hong Hanh & Viviani, Jean-Laurent, 2018. "Predicting bank failure: An improvement by implementing a machine-learning approach to classical financial ratios," Research in International Business and Finance, Elsevier, vol. 44(C), pages 16-25.
    17. Detken, Carsten & Weeken, Olaf & Alessi, Lucia & Bonfim, Diana & Boucinha, Miguel & Castro, Christian & Frontczak, Sebastian & Giordana, Gaston & Giese, Julia & Wildmann, Nadya & Kakes, Jan & Klaus, B, 2014. "Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options," ESRB Occasional Paper Series 5, European Systemic Risk Board.
    18. Lang, Jan Hannes & Peltonen, Tuomas A. & Sarlin, Peter, 2018. "A framework for early-warning modeling with an application to banks," Working Paper Series 2182, European Central Bank.
    19. Martin, Daniel, 1977. "Early warning of bank failure : A logit regression approach," Journal of Banking & Finance, Elsevier, vol. 1(3), pages 249-276, November.
    20. repec:erf:erfstu:78 is not listed on IDEAS
    21. Demyanyk, Yuliya & Hasan, Iftekhar, 2010. "Financial crises and bank failures: A review of prediction methods," Omega, Elsevier, vol. 38(5), pages 315-324, October.
    22. Òscar Jordà & Alan M. Taylor, 2011. "Performance Evaluation of Zero Net-Investment Strategies," NBER Working Papers 17150, National Bureau of Economic Research, Inc.
    23. Travis J. Berge & Òscar Jordà, 2011. "Evaluating the Classification of Economic Activity into Recessions and Expansions," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(2), pages 246-277, April.
    24. Claudio Borio & Mathias Drehmann, 2009. "Assessing the risk of banking crises - revisited," BIS Quarterly Review, Bank for International Settlements, March.
    25. Mousavi, Shabnam & Gigerenzer, Gerd, 2014. "Risk, uncertainty, and heuristics," Journal of Business Research, Elsevier, vol. 67(8), pages 1671-1678.
    26. Cleary, Sean & Hebb, Greg, 2016. "An efficient and functional model for predicting bank distress: In and out of sample evidence," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 101-111.
    27. Claudio Borio & Philip Lowe, 2002. "Assessing the risk of banking crises," BIS Quarterly Review, Bank for International Settlements, December.
    28. Carsten Detken & Olaf Weeken & Lucia Alessi & Diana Bonfim & Miguel M. Boucinha & Christian Castro & Sebastian Frontczak & Gaston Giordana & Julia Giese & Nadya Jahn & Jan Kakes & Benjamin Klaus & Jan, 2014. "Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options," ESRB Occasional Paper Series 05, European Systemic Risk Board.
    29. Carmona, Pedro & Climent, Francisco & Momparler, Alexandre, 2019. "Predicting failure in the U.S. banking sector: An extreme gradient boosting approach," International Review of Economics & Finance, Elsevier, vol. 61(C), pages 304-323.
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    More about this item

    Keywords

    Banking regulation; Basel III; Bank failure; Global financial crisis; Market-based metrics; Regulatory complexity;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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