IDEAS home Printed from https://ideas.repec.org/a/eme/jfrcpp/v15y2007i4p423-449.html
   My bibliography  Save this article

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

Author

Listed:
  • 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 Limited, vol. 15(4), pages 423-449, November.
  • Handle: RePEc:eme:jfrcpp:v:15:y:2007:i:4:p:423-449
    DOI: 10.1108/13581980710835272
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/13581980710835272/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/13581980710835272/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/13581980710835272?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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 2007/239, 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.
    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. Tursunalieva, Ainura & Silvapulle, Param, 2016. "Nonparametric estimation of operational value-at-risk (OpVaR)," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 194-201.
    2. 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.
    3. Ahmad Raza Bilal & Noraini Bt. Abu Talib & Mohd Noor Azli Ali Khan, 2013. "Remodeling of risk management in banking: evidence from the sub-continent and gulf," Journal of Risk Finance, Emerald Group Publishing, vol. 14(5), pages 468-489, November.
    4. 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.
    5. 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.
    6. Attila TamaÅŸ 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.
    7. Muhammad Yasran Rasheed & Asif Saeed & Ammar Ali Gull, 2018. "The Role of Operational Risk Management in Performance of Banking Sector: A Study on Conventional & Islamic Banks of Pakistan," Pakistan Journal of Humanities and Social Sciences, International Research Alliance for Sustainable Development (iRASD), vol. 6(1), pages :1-16, March.

    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. Gualter Couto & Kevin Medeiros Bulhões, 2009. "Basel II: operation risk measurement in the Portuguese banking sector," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(3), pages 259-278.
    2. 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.
    3. Marcos Massaki Abe & Eui Jung Chang & Benjamin Miranda Tabak, 2007. "Forecasting Exchange Rate Density Using Parametric Models: the Case of Brazil," Brazilian Review of Finance, Brazilian Society of Finance, vol. 5(1), pages 29-39.
    4. Xu, Yihuan & Iglewicz, Boris & Chervoneva, Inna, 2014. "Robust estimation of the parameters of g-and-h distributions, with applications to outlier detection," Computational Statistics & Data Analysis, Elsevier, vol. 75(C), pages 66-80.
    5. Imad Moosa, 2012. "Basel 2.5: A lot of sizzle but little nutritional value," Journal of Banking Regulation, Palgrave Macmillan, vol. 13(4), pages 320-335, November.
    6. 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.
    7. Eeckhoudt, Louis & Schlesinger, Harris, 2008. "Changes in risk and the demand for saving," Journal of Monetary Economics, Elsevier, vol. 55(7), pages 1329-1336, October.
    8. Luiz Vitiello & Ser-Huang Poon, 2022. "Option pricing with random risk aversion," Review of Quantitative Finance and Accounting, Springer, vol. 58(4), pages 1665-1684, May.
    9. 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.
    10. Jobst, Andreas A., 2014. "Measuring systemic risk-adjusted liquidity (SRL)—A model approach," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 270-287.
    11. Chatterjee, Somnath & Jobst, Andreas, 2019. "Market-implied systemic risk and shadow capital adequacy," Bank of England working papers 823, Bank of England.
    12. Sanjiv Jaggia & Alison Kelly-Hawke, 2009. "Modelling skewness and elongation in financial returns: the case of exchange-traded funds," Applied Financial Economics, Taylor & Francis Journals, vol. 19(16), pages 1305-1316.
    13. Kabir Dutta & Jason Perry, 2006. "A tale of tails: an empirical analysis of loss distribution models for estimating operational risk capital," Working Papers 06-13, Federal Reserve Bank of Boston.
    14. 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.
    15. International Monetary Fund, 2011. "United Kingdom: Stress Testing the Banking Sector Technical Note," IMF Staff Country Reports 2011/227, International Monetary Fund.
    16. Berger, Allen N. & Curti, Filippo & Mihov, Atanas & Sedunov, John, 2022. "Operational Risk is More Systemic than You Think: Evidence from U.S. Bank Holding Companies," Journal of Banking & Finance, Elsevier, vol. 143(C).
    17. Zhuang Cai & Peter Wheale, 2009. "Managing Efficient Capital Allocation with Emphasis on the Chinese Experience," Journal of Business Ethics, Springer, vol. 87(1), pages 111-135, April.
    18. Andreas Jobst & Mr. Dale F Gray, 2013. "Systemic Contingent Claims Analysis: Estimating Market-Implied Systemic Risk," IMF Working Papers 2013/054, International Monetary Fund.
    19. Antonio Díaz & Gonzalo García-Donato & Andrés Mora-Valencia, 2017. "Risk quantification in turmoil markets," Risk Management, Palgrave Macmillan, vol. 19(3), pages 202-224, August.
    20. W. Scott Frame & Ping McLemore & Atanas Mihov, 2020. "Haste Makes Waste: Banking Organization Growth and Operational Risk," Working Papers 2023, Federal Reserve Bank of Dallas.

    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:eme:jfrcpp:v:15:y:2007:i:4:p:423-449. 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: Emerald Support (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.