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Consistent Quantitative Operational Risk Measurement and Regulation: Challenges of Model Specification, Data Collection and Loss Reporting

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  • Andreas Jobst

Abstract

Amid increased size and complexity of the banking industry, operational risk has a greater potential to transpire in more harmful ways than many other sources of risk. This paper provides a succinct overview of the current regulatory framework of operational risk under the New Basel Capital Accord with a view to inform a critical debate about the influence of varying loss profiles and different methods of data collection, loss reporting, and model specification on the reliability of operational risk estimates and the consistency of risk-sensitive capital rules. The presented findings offer guidance on enhanced market practice and more effective prudential standards for operational risk measurement.

Suggested Citation

  • Andreas Jobst, 2007. "Consistent Quantitative Operational Risk Measurement and Regulation: Challenges of Model Specification, Data Collection and Loss Reporting," IMF Working Papers 2007/254, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2007/254
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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.
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    Cited by:

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    2. Bunea-Bontaş, Cristina Aurora & Lăzărică, Marinela & Petre, Mihaela Cosmina, 2009. "Capital adequacy and risk management - premises for strengthening financial system stability," MPRA Paper 18132, University Library of Munich, Germany.
    3. M. Bee & J. Hambuckers & L. Trapin, 2019. "Estimating Value-at-Risk for the g-and-h distribution: an indirect inference approach," Quantitative Finance, Taylor & Francis Journals, vol. 19(8), pages 1255-1266, August.

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