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Tackling the over-dispersion of operational risk: Implications on capital adequacy requirements


  • Feria-Domínguez, José Manuel
  • Jiménez-Rodríguez, Enrique
  • Sholarin, Ola


Having proved Basel II to be ineffective to prevent the global financial crisis, Basel III seeks to enhance the resilience of individual financial institutions by strengthening their capital buffer and by building counterbalancing capacity to absorb liquidity shocks. Under this new regulatory framework the increase of capital adequacy ratios is a matter of utmost importance for promoting the soundness and stability of the financial system. With regard to the operational risk, Basel III suggests a greater convergence in the measurement methodologies as well as a higher supervision. To this extent, the objective of this paper is threefold: (i) to test the over-dispersed nature of operational losses; (ii) to capture the extra-Poison variance into the Loss Distribution Approach (LDA); (iii) to assess its potential impact on the capital adequacy requirements (CARs) for operational risk. Our findings point out a higher capital charge associated to the alternative extra-Poisson distributions; even more significant under heavy-tailed scenarios. In consequence, the over-dispersion phenomenon should be addressed very carefully not only by the financial institutions when designing their internal measurement approaches, but also, by the supervisors when validating such models, both ensuring the appropriate specifications to provide with a more realistic capital charges.

Suggested Citation

  • Feria-Domínguez, José Manuel & Jiménez-Rodríguez, Enrique & Sholarin, Ola, 2015. "Tackling the over-dispersion of operational risk: Implications on capital adequacy requirements," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 206-221.
  • Handle: RePEc:eee:ecofin:v:31:y:2015:i:c:p:206-221
    DOI: 10.1016/j.najef.2014.11.004

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    References listed on IDEAS

    1. Cummins, J David & Mahul, Olivier, 2003. "Optimal Insurance with Divergent Beliefs about Insurer Total Default Risk," Journal of Risk and Uncertainty, Springer, vol. 27(2), pages 121-138, October.
    2. Allen, David E. & Singh, Abhay K. & Powell, Robert J., 2013. "EVT and tail-risk modelling: Evidence from market indices and volatility series," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 355-369.
    3. McAleer, Michael & Jimenez-Martin, Juan-Angel & Perez-Amaral, Teodosio, 2013. "Has the Basel Accord improved risk management during the global financial crisis?," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 250-265.
    4. Chernobai, Anna & Menn, Christian & Rachev, Svetlozar T. & Trück, Stefan, 2010. "Estimation of operational value-at-risk in the presence of minimum collection threshold: An empirical study," Working Paper Series in Economics 4, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    5. repec:spr:compst:v:69:y:2009:i:3:p:497-508 is not listed on IDEAS
    6. Petter Lundborg & Bj–rn Lindgren, 2004. "Do They Know What They are Doing? Risk Perceptions and Smoking Behaviour Among Swedish Teenagers," Journal of Risk and Uncertainty, Springer, vol. 28(3), pages 261-286, May.
    7. Paul Embrechts & Marco Frei, 2009. "Panjer recursion versus FFT for compound distributions," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 69(3), pages 497-508, July.
    8. Jones-Lee, M W & Loomes, G, 1995. "Scale and Context Effects in the Valuation of Transport Safety," Journal of Risk and Uncertainty, Springer, vol. 11(3), pages 183-203, December.
    9. Chapelle, Ariane & Crama, Yves & Hübner, Georges & Peters, Jean-Philippe, 2008. "Practical methods for measuring and managing operational risk in the financial sector: A clinical study," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1049-1061, June.
    10. Dahen, Hela & Dionne, Georges, 2010. "Scaling models for the severity and frequency of external operational loss data," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1484-1496, July.
    11. Gupta, Anshul & Akuzawa, Toshinao & Nishiyama, Yoshihiko, 2013. "Quantitative evaluation of contingent capital and its applications," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 457-486.
    12. Emily Haisley & Romel Mostafa & George Loewenstein, 2008. "Myopic risk-seeking: The impact of narrow decision bracketing on lottery play," Journal of Risk and Uncertainty, Springer, vol. 37(1), pages 57-75, August.
    13. Cameron, A. Colin & Trivedi, Pravin K., 1990. "Regression-based tests for overdispersion in the Poisson model," Journal of Econometrics, Elsevier, vol. 46(3), pages 347-364, December.
    14. William H. Greene, 1994. "Accounting for Excess Zeros and Sample Selection in Poisson and Negative Binomial Regression Models," Working Papers 94-10, New York University, Leonard N. Stern School of Business, Department of Economics.
    15. Martin Ridout & John Hinde & Clarice G. B. Demétrio, 2001. "A Score Test for Testing a Zero‐Inflated Poisson Regression Model Against Zero‐Inflated Negative Binomial Alternatives," Biometrics, The International Biometric Society, vol. 57(1), pages 219-223, March.
    16. Hinde, John & Demetrio, Clarice G. B., 1998. "Overdispersion: Models and estimation," Computational Statistics & Data Analysis, Elsevier, vol. 27(2), pages 151-170, April.
    17. Teugels, Jozef L., 1985. "Approximation and estimation of some compound distributions," Insurance: Mathematics and Economics, Elsevier, vol. 4(3), pages 143-153, July.
    18. Häger, David & Andersen, Lasse B., 2010. "A knowledge based approach to loss severity assessment in financial institutions using Bayesian networks and loss determinants," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1635-1644, December.
    19. Shehzad, Choudhry Tanveer & De Haan, Jakob, 2013. "Was the 2007 crisis really a global banking crisis?," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 113-124.
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    Cited by:

    1. Lu Wei & Jianping Li & Xiaoqian Zhu, 2018. "Operational Loss Data Collection: A Literature Review," Annals of Data Science, Springer, vol. 5(3), pages 313-337, September.
    2. Mili, Mehdi & Sahut, Jean-Michel & Trimeche, Hatem & Teulon, Frédéric, 2017. "Determinants of the capital adequacy ratio of foreign banks’ subsidiaries: The role of interbank market and regulation," Research in International Business and Finance, Elsevier, vol. 42(C), pages 442-453.
    3. Wei, Lu & Li, Guowen & Li, Jianping & Zhu, Xiaoqian, 2019. "Bank risk aggregation with forward-looking textual risk disclosures," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).

    More about this item


    Banking regulation; Operational risk; Capital adequacy requirements (CARs); Over-dispersion phenomenon;

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages


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