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Using External Data in Operational Risk

Author

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  • Montserrat Guillen

    (University of Barcelona, Econometrics, RFA-IREA, Diagonal 690, Barcelona E-08034, Spain.)

  • Jim Gustafsson

    (Codan Insurance, Copenhagen, Denmark.)

  • Jens Perch Nielsen

    (University of Copenhagen & Festina Lente, Copenhagen, Denmark.)

  • Paul Pritchard

    (Royal&SunAlliance, London, U.K.)

Abstract

We present a method to combine expert opinion on the likelihood of under-reporting with an operational risk data set. Under-reporting means that not all losses are identified and therefore an incorrect distributional assumption may be made, and ultimately an incorrect assessment made of capital required. Our approach can be applied to help insurers and other financial services companies make better assessments of capital requirements for operational risk using either external or internal sources. We conclude that operational risk capital evaluation can be significantly biased if under-reporting is ignored. The Geneva Papers (2007) 32, 178–189. doi:10.1057/palgrave.gpp.2510129

Suggested Citation

  • Montserrat Guillen & Jim Gustafsson & Jens Perch Nielsen & Paul Pritchard, 2007. "Using External Data in Operational Risk," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 32(2), pages 178-189, April.
    • Handle: RePEc:pal:gpprii:v:32:y:2007:i:2:p:178-189
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    Citations

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    Cited by:

    1. Ramon Alemany & Catalina Bolancé & Montserrat Guillén, 2012. "Nonparametric estimation of Value-at-Risk," Working Papers XREAP2012-19, Xarxa de Referència en Economia Aplicada (XREAP), revised Oct 2012.
    2. Tine Buch-Kromann & Jens Nielsen, 2012. "Multivariate density estimation using dimension reducing information and tail flattening transformations for truncated or censored data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(1), pages 167-192, February.
    3. Buch-Kromann, Tine & Guillén, Montserrat & Linton, Oliver & Nielsen, Jens Perch, 2011. "Multivariate density estimation using dimension reducing information and tail flattening transformations," Insurance: Mathematics and Economics, Elsevier, vol. 48(1), pages 99-110, January.
    4. José Ruiz-Canela López, 2021. "How Can Enterprise Risk Management Help in Evaluating the Operational Risks for a Telecommunications Company?," JRFM, MDPI, vol. 14(3), pages 1-26, March.
    5. Amandha Ganegoda & John Evans, 2014. "A framework to manage the measurable, immeasurable and the unidentifiable financial risk," Australian Journal of Management, Australian School of Business, vol. 39(1), pages 5-34, February.

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