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Credit risk measurement and procyclicality

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  • Philip Lowe

    (Reserve Bank of Australia)

Abstract

This paper examines the two-way linkages between credit risk measurement and the macroeconomy. It first discusses the issue of whether credit risk is low or high in economic booms. It then reviews how macroeconomic considerations are incorporated into credit risk models and the risk measurement approach that underlies the New Basel Capital Accord. Finally, it asks what effect these measurement approaches are likely to have on the macroeconomy, particularly through their role in influencing the level of bank capital. The paper argues that much remains to be done in integrating macroeconomic considerations into risk measurement, particularly during the upswing of business cycles that are characterised by rapid increases in credit and asset prices. It also suggests that a system of risk-based capital requirements is likely to deliver large changes in minimum requirements over the business cycle, particularly if risk measurement is based on market prices. This has the potential to increase the financial amplification of business cycles, although other aspects of risk-based capital requirements are likely to work in the other direction. Further work on evaluating the net effects is important for both supervisory and monetary authorities.

Suggested Citation

  • Philip Lowe, 2002. "Credit risk measurement and procyclicality," BIS Working Papers 116, Bank for International Settlements.
  • Handle: RePEc:bis:biswps:116
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    References listed on IDEAS

    as
    1. Edward I. Altman & Andrea Resti & Andrea Sironi, 2002. "The link between default and recovery rates: effects on the procyclicality of regulatory capital ratios," BIS Working Papers 113, Bank for International Settlements.
    2. Pierre-Olivier Gourinchas & Rodrigo Valdes & Oscar Landerretche, 2001. "Lending Booms: Latin America and the World," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 47-100, January.
    3. Nickell, Pamela & Perraudin, William & Varotto, Simone, 2000. "Stability of rating transitions," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 203-227, January.
    4. Francis X. Diebold & Glenn D. Rudebusch, 1999. "Business Cycles: Durations, Dynamics, and Forecasting," Economics Books, Princeton University Press, edition 1, number 6636.
    5. Francis X. Diebold & Glenn Rudebusch & Daniel Sichel, 1993. "Further Evidence on Business-Cycle Duration Dependence," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 255-284, National Bureau of Economic Research, Inc.
    6. Claudio Borio & Craig Furfine & Philip Lowe, 2001. "Procyclicality of the financial system and financial stability: issues and policy options," BIS Papers chapters, in: Bank for International Settlements (ed.), Marrying the macro- and micro-prudential dimensions of financial stability, volume 1, pages 1-57, Bank for International Settlements.
    7. C. H. Furfine, 2001. "The interbank market during a crisis," BIS Working Papers 99, Bank for International Settlements.
    8. Bangia, Anil & Diebold, Francis X. & Kronimus, Andre & Schagen, Christian & Schuermann, Til, 2002. "Ratings migration and the business cycle, with application to credit portfolio stress testing," Journal of Banking & Finance, Elsevier, vol. 26(2-3), pages 445-474, March.
    9. Joe Peek & Eric Rosengren, 1997. "Collateral damage: effects of the Japanese real estate collapse on credit availability and real activity in the United States," Working Papers 97-5, Federal Reserve Bank of Boston.
    10. Philip Lowe & Miguel A. Segoviano, 2002. "Internal ratings, the business cycle and capital requirements: some evidence from an emerging market economy," BIS Working Papers 117, Bank for International Settlements.
    11. Gabriele Galati, 2000. "Trading volumes, volatility and spreads in foreign exchange markets: evidence from emerging market countries," BIS Working Papers 93, Bank for International Settlements.
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    Keywords

    credit risk measurement; macroeconomy;

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