IDEAS home Printed from https://ideas.repec.org/a/ibf/gjbres/v5y2011i3p1-17.html
   My bibliography  Save this article

What Has Worked In Operational Risk?

Author

Listed:
  • Giuseppe Galloppo
  • Alessandro Rogora

Abstract

Financial institutions have always been exposed to operational risk – the risk of loss, resulting from inadequate or failed internal processes and information systems, from misconduct by people or from unforeseen external events. Both banking supervision authorities and banking institutions have recently showed their interest in operational risk measurement and management techniques. This newfound prominence is reflected in the Basel II capital accord, including a formal capital charge against operational risk, based on a spectrum of three increasingly sophisticated measurement approaches. The objective of this paper is to increase the level of understanding of operational risk within the financial system, by presenting a review of the literature on the modelling techniques proposed for approach such risk in financial institutions. We perform a comprehensive evaluation of commonly used methods, with a view to compare the performance of different estimators and quantitative estimation methods, for implementation of operational risk measurement. We find that there is currently high variability in the quality and quantity of disclosure on operational risk so, as our conclusion, we try to offer instructive and tractable recommendations for a more effective operational risk measurement.

Suggested Citation

  • Giuseppe Galloppo & Alessandro Rogora, 2011. "What Has Worked In Operational Risk?," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 5(3), pages 1-17.
    • Handle: RePEc:ibf:gjbres:v:5:y:2011:i:3:p:1-17
    as

    Download full text from publisher

    File URL: http://www.theibfr2.com/RePEc/ibf/gjbres/gjbr-v5n3-2011/GJBR-V5N3-2011-1.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marco Moscadelli, 2004. "The modelling of operational risk: experience with the analysis of the data collected by the Basel Committee," Temi di discussione (Economic working papers) 517, Bank of Italy, Economic Research and International Relations Area.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Roxana HERGHILIGIU, 2013. "Operational Risk Disclosure In Romanian Commercial Banks," Journal of Public Administration, Finance and Law, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 4(4), pages 171-178, December.
    2. 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.
    3. Suren Pakhchanyan, 2016. "Operational Risk Management in Financial Institutions: A Literature Review," IJFS, MDPI, vol. 4(4), pages 1-21, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stefan Mittnik & Sandra Paterlini & Tina Yener, 2011. "Operational–risk Dependencies and the Determination of Risk Capital," Center for Economic Research (RECent) 070, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    2. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
    3. Ojo, Marianne, 2007. "The role of the external auditor in bank regulation and supervision: A comparative analysis between the UK, Germany, Italy and the US," MPRA Paper 32614, University Library of Munich, Germany, revised Jan 2008.
    4. Robert Jarrow & Jeff Oxman & Yildiray Yildirim, 2010. "The cost of operational risk loss insurance," Review of Derivatives Research, Springer, vol. 13(3), pages 273-295, October.
    5. Eckert, Christian & Gatzert, Nadine, 2017. "Modeling operational risk incorporating reputation risk: An integrated analysis for financial firms," Insurance: Mathematics and Economics, Elsevier, vol. 72(C), pages 122-137.
    6. Alina Mihaela Dima, 2009. "Operational Risk Assesement Tools for Quality Management in Banking Services," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 11(26), pages 364-372, June.
    7. Milan Stehlík & Rastislav Potocký & Helmut Waldl & Zdeněk Fabián, 2010. "On the favorable estimation for fitting heavy tailed data," Computational Statistics, Springer, vol. 25(3), pages 485-503, September.
    8. Dominik D. Lambrigger & Pavel V. Shevchenko & Mario V. Wuthrich, 2009. "The Quantification of Operational Risk using Internal Data, Relevant External Data and Expert Opinions," Papers 0904.1361, arXiv.org.
    9. J. Christopher Westland, 2015. "Economics of eBay’s buyer protection plan," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 1(1), pages 1-20, December.
    10. Steven Kou & Xianhua Peng, 2016. "On the Measurement of Economic Tail Risk," Operations Research, INFORMS, vol. 64(5), pages 1056-1072, October.
    11. Robert Jarrow, 2017. "Operational Risk," World Scientific Book Chapters, in: THE ECONOMIC FOUNDATIONS OF RISK MANAGEMENT Theory, Practice, and Applications, chapter 8, pages 69-70, World Scientific Publishing Co. Pte. Ltd..
    12. S�verine Plunus & Georges Hübner & Jean-Philippe Peters, 2012. "Measuring operational risk in financial institutions," Applied Financial Economics, Taylor & Francis Journals, vol. 22(18), pages 1553-1569, September.
    13. Ikefuji, Masako & Laeven, Roger J.A. & Magnus, Jan R. & Muris, Chris, 2020. "Expected utility and catastrophic risk in a stochastic economy–climate model," Journal of Econometrics, Elsevier, vol. 214(1), pages 110-129.
    14. Lu, Zhaoyang, 2011. "Modeling the yearly Value-at-Risk for operational risk in Chinese commercial banks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(4), pages 604-616.
    15. Genest, Christian & Gerber, Hans U. & Goovaerts, Marc J. & Laeven, Roger J.A., 2009. "Editorial to the special issue on modeling and measurement of multivariate risk in insurance and finance," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 143-145, April.
    16. Jorge Aníbal Restrepo Morales & Santiago Medina Hurtado, 2012. "Estimation Of Operative Risk For Fraud In The Car Insurance Industry," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 6(3), pages 73-83.
    17. Pflug Georg Ch. & Schaller Peter, 2009. "A note on pivotal Value-at-Risk estimates," Statistics & Risk Modeling, De Gruyter, vol. 27(3), pages 201-209, December.
    18. Di Lascio, F. Marta L. & Giammusso, Davide & Puccetti, Giovanni, 2018. "A clustering approach and a rule of thumb for risk aggregation," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 236-248.
    19. Stefan Aulbach & Verena Bayer & Michael Falk, 2012. "A multivariate piecing-together approach with an application to operational loss data," Papers 1205.1617, arXiv.org.
    20. Mainik Georg & Rüschendorf Ludger, 2012. "Ordering of multivariate risk models with respect to extreme portfolio losses," Statistics & Risk Modeling, De Gruyter, vol. 29(1), pages 73-106, March.

    More about this item

    Keywords

    operational risk management; Basel II;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibf:gjbres:v:5:y:2011:i:3:p:1-17. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mercedes Jalbert (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.