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The quantification of operational risk using internal data, relevant external data and expert opinion

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  • Dominik D. Lambrigger, Pavel V. Shevchenko and Mario V. Wüthrich

Abstract

ABSTRACT To quantify an operational risk capital charge under Basel II, many banks adopt a loss distribution approach. Under this approach, quantification of the frequency and severity distributions of operational risk involves the bank’s internal data, expert opinion and relevant external data. In this paper we suggest a new approach, based on a Bayesian inference method, that allows for a combination of these three sources of information to estimate the parameters of the risk frequency and severity distributions.

Suggested Citation

  • Dominik D. Lambrigger, Pavel V. Shevchenko and Mario V. Wüthrich, . "The quantification of operational risk using internal data, relevant external data and expert opinion," Journal of Operational Risk, Journal of Operational Risk.
  • Handle: RePEc:rsk:journ3:2160930
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