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Capital and risk: new evidence on implications of large operational losses

Author

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  • Patrick de Fontnouvelle
  • Virginia DeJesus-Rueff
  • John S. Jordan
  • Eric Rosengren

Abstract

Operational risk is currently receiving significant media attention, as financial scandals have appeared regularly and multiple events have exceeded one billion dollars in total impact. Regulators have also been devoting attention to this risk, and are finalizing proposals that would require banks to hold capital for potential operational losses. This paper uses newly available loss data to model operational risk at internationally active banks. Our results suggest that the amount of capital held for operational risk will often exceed capital held for market risk, and that the largest banks could choose to allocate several billion dollars in capital to operational risk. In addition to capital allocation decisions, our findings should have a direct impact on the compensation and investment models used by large firms, as well as on the optimal allocation of risk management resources.

Suggested Citation

  • Patrick de Fontnouvelle & Virginia DeJesus-Rueff & John S. Jordan & Eric Rosengren, 2003. "Capital and risk: new evidence on implications of large operational losses," Working Papers 03-5, Federal Reserve Bank of Boston.
    • Handle: RePEc:fip:fedbwp:03-5
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    References listed on IDEAS

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    1. 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.
    2. Beverly Hirtle, 2003. "What market risk capital reporting tells us about bank risk," Economic Policy Review, Federal Reserve Bank of New York, issue Sep, pages 37-54.
    3. Matthew Pritsker, 1997. "Evaluating Value at Risk Methodologies: Accuracy versus Computational Time," Journal of Financial Services Research, Springer;Western Finance Association, vol. 12(2), pages 201-242, October.
    4. Jeremy Berkowitz & James O'Brien, 2002. "How Accurate Are Value‐at‐Risk Models at Commercial Banks?," Journal of Finance, American Finance Association, vol. 57(3), pages 1093-1111, June.
    5. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    6. Xavier Gabaix, 1999. "Zipf's Law for Cities: An Explanation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 739-767.
    7. Darryll Hendricks, 1996. "Evaluation of value-at-risk models using historical data," Economic Policy Review, Federal Reserve Bank of New York, vol. 2(Apr), pages 39-69.
    8. Christopher James, 1996. "RAROC Based Capital Budgeting and Performance Evaluation: A Case Study of Bank Capital Allocation," Center for Financial Institutions Working Papers 96-40, Wharton School Center for Financial Institutions, University of Pennsylvania.
    9. Mark Carey, 1998. "Credit Risk in Private Debt Portfolios," Journal of Finance, American Finance Association, vol. 53(4), pages 1363-1387, August.
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    Keywords

    Risk management; Bank capital;

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