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The Pro-Cyclicality of Risk Weights for Credit Exposures in the Czech Republic

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  • Simona Malovana

Abstract

This paper studies the pro-cyclicality of risk weights with respect to the business, credit and financial cycles using data for the Czech Republic. The empirical results indicate that risk weights behave pro-cyclically under the IRB approach and acyclically under the STA approach. The pro-cyclical behaviour of IRB risk weights for credit exposures is caused primarily by the procyclicality of risk weights for retail credit exposures, the strongest effects being in the highest and lowest quantiles of risk weights. The risk weights for retail exposures behave pro-cyclically not only with regard to the business cycle, but also with respect to the financial cycle and house price growth.

Suggested Citation

  • Simona Malovana, 2018. "The Pro-Cyclicality of Risk Weights for Credit Exposures in the Czech Republic," Working Papers 2018/12, Czech National Bank.
  • Handle: RePEc:cnb:wpaper:2018/12
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    References listed on IDEAS

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    1. Peek, Joe & Rosengren, Eric, 1995. "Bank regulation and the credit crunch," Journal of Banking & Finance, Elsevier, vol. 19(3-4), pages 679-692, June.
    2. Bun, Maurice J.G. & Carree, Martin A., 2005. "Bias-Corrected Estimation in Dynamic Panel Data Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 200-210, April.
    3. Eva Catarineu-Rabell & Patricia Jackson & Dimitrios Tsomocos, 2005. "Procyclicality and the new Basel Accord - banks’ choice of loan rating system," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 26(3), pages 537-557, October.
    4. Ines Drumond, 2009. "Bank Capital Requirements, Business Cycle Fluctuations And The Basel Accords: A Synthesis," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 798-830, December.
    5. Adam Gersl & Jakub Seidler, 2011. "Excessive Credit Growth as an Indicator of Financial (In)Stability and its Use in Macroprudential Policy," Occasional Publications - Chapters in Edited Volumes, in: CNB Financial Stability Report 2010/2011, chapter 0, pages 112-122, Czech National Bank.
    6. Moritz Schularick & Alan M. Taylor, 2012. "Credit Booms Gone Bust: Monetary Policy, Leverage Cycles, and Financial Crises, 1870-2008," American Economic Review, American Economic Association, vol. 102(2), pages 1029-1061, April.
    7. Maurice J. G. Bun & Frank Windmeijer, 2010. "The weak instrument problem of the system GMM estimator in dynamic panel data models," Econometrics Journal, Royal Economic Society, vol. 13(1), pages 95-126, February.
    8. Jokipii, Terhi & Milne, Alistair, 2011. "Bank capital buffer and risk adjustment decisions," Journal of Financial Stability, Elsevier, vol. 7(3), pages 165-178, August.
    9. Gordy, Michael B. & Howells, Bradley, 2006. "Procyclicality in Basel II: Can we treat the disease without killing the patient?," Journal of Financial Intermediation, Elsevier, vol. 15(3), pages 395-417, July.
    10. Andersen, Henrik, 2011. "Procyclical implications of Basel II: Can the cyclicality of capital requirements be contained?," Journal of Financial Stability, Elsevier, vol. 7(3), pages 138-154, August.
    11. Francesco Vallascas & Jens Hagendorff, 2013. "The Risk Sensitivity of Capital Requirements: Evidence from an International Sample of Large Banks," Review of Finance, European Finance Association, vol. 17(6), pages 1947-1988.
    12. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    13. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "Varieties of Crises and Their Dates," Introductory Chapters, in: This Time Is Different: Eight Centuries of Financial Folly, Princeton University Press.
    14. Rochet, J C., 2008. "Procyclicality of financial systems: is there a need to modify current accounting and regulatory rules?," Financial Stability Review, Banque de France, issue 12, pages 95-99, October.
    15. Bikker, J.A. & Metzemakers, P.A.J., 2005. "Bank provisioning behaviour and procyclicality," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(2), pages 141-157, April.
    16. Ayuso, Juan & Perez, Daniel & Saurina, Jesus, 2004. "Are capital buffers pro-cyclical?: Evidence from Spanish panel data," Journal of Financial Intermediation, Elsevier, vol. 13(2), pages 249-264, April.
    17. Jokipii, Terhi & Milne, Alistair, 2008. "The cyclical behaviour of European bank capital buffers," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1440-1451, August.
    18. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    19. Gabriel Jiménez & Steven Ongena & José‐Luis Peydró & Jesús Saurina, 2014. "Hazardous Times for Monetary Policy: What Do Twenty‐Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk‐Taking?," Econometrica, Econometric Society, vol. 82(2), pages 463-505, March.
    20. Maurice J. G. Bun, 2003. "Bias Correction in the Dynamic Panel Data Model with a Nonscalar Disturbance Covariance Matrix," Econometric Reviews, Taylor & Francis Journals, vol. 22(1), pages 29-58, February.
    21. Altunbas, Yener & Gambacorta, Leonardo & Marques-Ibanez, David, 2010. "Bank risk and monetary policy," Journal of Financial Stability, Elsevier, vol. 6(3), pages 121-129, September.
    22. Mathias Drehmann & Claudio Borio & Kostas Tsatsaronis, 2012. "Characterising the financial cycle: don't lose sight of the medium term!," BIS Working Papers 380, Bank for International Settlements.
    23. Joe Peek & Eric S. Rosengren, 1996. "Bank Regulatory Agreements and Real Estate Lending," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 24(1), pages 55-73, March.
    24. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    25. Lindquist, Kjersti-Gro, 2004. "Banks' buffer capital: how important is risk," Journal of International Money and Finance, Elsevier, vol. 23(3), pages 493-513, April.
    26. Stolz, Stéphanie & Wedow, Michael, 2011. "Banks' regulatory capital buffer and the business cycle: Evidence for Germany," Journal of Financial Stability, Elsevier, vol. 7(2), pages 98-110, June.
    27. Bank for International Settlements, 2001. "Marrying the macro- and micro-prudential dimensions of financial stability," BIS Papers, Bank for International Settlements, number 01, May.
    28. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    29. Susan Wachter, 2015. "The Housing and Credit Bubbles in the United States and Europe: A Comparison," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 37-42, March.
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    More about this item

    Keywords

    Housing market; internal ratings-based approach; procyclicality; quantile regression; risk weights;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • 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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