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It's all in the data – consistent operational risk measurement and regulation

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  • Andreas A. Jobst

Abstract

Purpose - Amid increased size and complexity of the banking industry, operational risk has a greater potential to occur in more harmful ways than many other sources of risk. This paper seeks to provide a succinct overview of the current regulatory framework of operational risk under the New Basel Accord with a view to inform a critical debate about the influence of data collection, loss reporting, and model specification on the consistency of risk-sensitive capital rules. Design/methodology/approach - The paper's approach is to investigate the regulatory implications of varying characteristics of operational risk and different methods to identify operational risk exposure. Findings - The findings reveal that effective operational risk measurement hinges on how the reporting of operational risk losses and the model sensitivity of quantitative methods affect the generation of consistent risk estimates. Originality/value - The presented findings offer tractable recommendations for a more coherent and consistent regulation of operational risk.

Suggested Citation

  • Andreas A. Jobst, 2007. "It's all in the data – consistent operational risk measurement and regulation," Journal of Financial Regulation and Compliance, Emerald Group Publishing, vol. 15(4), pages 423-449, November.
  • Handle: RePEc:eme:jfrcpp:v:15:y:2007:i:4:p:423-449
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    References listed on IDEAS

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    1. Carolyn Currie, 2006. "A Test Of The Strategic Effect Of Basel Ii Operational Risk Requirements On Banks," The IUP Journal of Monetary Economics, IUP Publications, vol. 0(4), pages 6-28, November.
    2. Carolyn Currie, 2004. "Basel II and Operational Risk - Overview of Key Concerns," Working Paper Series 134, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Kabir K. Dutta & David F. Babbel, 2005. "Extracting Probabilistic Information from the Prices of Interest Rate Options: Tests of Distributional Assumptions," The Journal of Business, University of Chicago Press, vol. 78(3), pages 841-870, May.
    4. Andreas Jobst, 2007. "Operational Risk; The Sting is Still in the Tail But the Poison Dependson the Dose," IMF Working Papers 07/239, International Monetary Fund.
    5. Kabir K. Dutta & David F. Babbel, 2002. "On Measuring Skewness and Kurtosis in Short Rate Distributions: The Case of the US Dollar London Inter Bank Offer Rates," Center for Financial Institutions Working Papers 02-25, Wharton School Center for Financial Institutions, University of Pennsylvania.
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    Citations

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    Cited by:

    1. Ioan Trenca & Iulia Neag, 2010. "Considerations Regarding Operational Risk Management in the Context of the Basel II Agreement," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 13(36), pages 171-185, June.
    2. Bryce, Cormac & Webb, Rob & Cheevers, Carly & Ring, P. & Clark, G., 2016. "Should the insurance industry be banking on risk escalation for solvency II?," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 131-139.
    3. Bryce, Cormac & Cheevers, Carly & Webb, Rob, 2013. "Operational risk escalation: An empirical analysis of UK call centres," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 298-307.
    4. Tursunalieva, Ainura & Silvapulle, Param, 2016. "Nonparametric estimation of operational value-at-risk (OpVaR)," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 194-201.
    5. Attila Tamas Szora & Iulian Bogdan Dobra, 2009. "Considerations Regarding The Influence Of The Base Leading Rate Over Investment Projects Financed By Eu Funds," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(11), pages 1-44.

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    Keywords

    Risk management; Financial services; Regulation;

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