IDEAS home Printed from https://ideas.repec.org/a/gam/jijfss/v4y2016i4p20-d80815.html
   My bibliography  Save this article

Operational Risk Management in Financial Institutions: A Literature Review

Author

Listed:
  • Suren Pakhchanyan

    (Area Finance and Banking, Department of Business Administration, Economics, and Law, University of Oldenburg, D-26111 Oldenburg, Germany)

Abstract

Following the three-pillar structure of the Basel II/III framework, the article categorises and surveys 279 academic papers on operational risk in financial institutions, covering the period from 1998 to 2014. In doing so, different lines of both theoretical and empirical directions for research are identified. In addition, this study provides an overview of existing consortia databases and other publicly available sources on operational loss that may be incorporated into empirical research, as well as in risk measurement processes by financial institutions. Finally, this paper highlights the research gaps in operational risk and outlines recommendations for further research.

Suggested Citation

  • Suren Pakhchanyan, 2016. "Operational Risk Management in Financial Institutions: A Literature Review," IJFS, MDPI, vol. 4(4), pages 1-21, October.
  • Handle: RePEc:gam:jijfss:v:4:y:2016:i:4:p:20-:d:80815
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7072/4/4/20/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7072/4/4/20/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gordy, Michael B. & Howells, Bradley, 2006. "Procyclicality in Basel II: Can we treat the disease without killing the patient?," Journal of Financial Intermediation, Elsevier, vol. 15(3), pages 395-417, July.
    2. 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.
    3. Cope, Eric W. & Piche, Mark T. & Walter, John S., 2012. "Macroenvironmental determinants of operational loss severity," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1362-1380.
    4. Imad A. Moosa, 2016. "A Critique of the Bucket Classification of Journals: The ABDC List as an Example," The Economic Record, The Economic Society of Australia, vol. 92(298), pages 448-463, September.
    5. Xiaoping Zhou & Rosella Giacometti & Frank J. Fabozzi & Ann H. Tucker, 2014. "Bayesian estimation of truncated data with applications to operational risk measurement," Quantitative Finance, Taylor & Francis Journals, vol. 14(5), pages 863-888, May.
    6. de Fontnouvelle, Patrick & Dejesus-Rueff, Virginia & Jordan, John S. & Rosengren, Eric S., 2006. "Capital and Risk: New Evidence on Implications of Large Operational Losses," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(7), pages 1819-1846, October.
    7. 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.
    8. Brechmann, Eike & Czado, Claudia & Paterlini, Sandra, 2014. "Flexible dependence modeling of operational risk losses and its impact on total capital requirements," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 271-285.
    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. Mitică Pepi, 2019. "Operational Risk Management in a Financial Institution," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 840-849, December.
    2. Wai Yan, Chong, 2019. "The Impact Of Determinants The Factor That Influence The Company Performance:A Study On Padini Holding BHD In Malaysia," MPRA Paper 97176, University Library of Munich, Germany.
    3. Olajide Solomon Fadun & Diekolola Oye, 2020. "Impacts of Operational Risk Management on Financial Performance:A Case of Commercial Banks in Nigeria," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 9(1), pages 22-35, January.
    4. Xiaoqian Zhu & Jianping Li & Dengsheng Wu, 2019. "Should the Advanced Measurement Approach for Operational Risk be Discarded? Evidence from the Chinese Banking Industry," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-15, March.
    5. 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.
    6. 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.
    7. Pejman Peykani & Mostafa Sargolzaei & Mohammad Hashem Botshekan & Camelia Oprean-Stan & Amir Takaloo, 2023. "Optimization of Asset and Liability Management of Banks with Minimum Possible Changes," Mathematics, MDPI, vol. 11(12), pages 1-24, June.
    8. Ajjima Jiravichai & Ruth Banomyong, 2022. "A Proposed Methodology for Literature Review on Operational Risk Management in Banks," Risks, MDPI, vol. 10(5), pages 1-18, May.

    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. 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. 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).
    3. Anna Chernobai & Ali Ozdagli & Jianlin Wang, 2016. "Business complexity and risk management: evidence from operational risk events in U. S. bank holding companies," Working Papers 16-16, Federal Reserve Bank of Boston.
    4. Azamat Abdymomunov & Filippo Curti, 2020. "Quantifying and Stress Testing Operational Risk with Peer Banks’ Data," Journal of Financial Services Research, Springer;Western Finance Association, vol. 57(3), pages 287-313, June.
    5. Azamat Abdymomunov & Atanas Mihov, 2019. "Operational Risk and Risk Management Quality: Evidence from U.S. Bank Holding Companies," Journal of Financial Services Research, Springer;Western Finance Association, vol. 56(1), pages 73-93, August.
    6. Chernobai, Anna & Ozdagli, Ali & Wang, Jianlin, 2021. "Business complexity and risk management: Evidence from operational risk events in U.S. bank holding companies," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 418-440.
    7. Zhou, Xiaoping & Durfee, Antonina V. & Fabozzi, Frank J., 2016. "On stability of operational risk estimates by LDA: From causes to approaches," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 266-278.
    8. Filippo Curti & W. Scott Frame & Atanas Mihov, 2022. "Are the Largest Banking Organizations Operationally More Risky?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(5), pages 1223-1259, August.
    9. Mizgier, Kamil J. & Hora, Manpreet & Wagner, Stephan M. & Jüttner, Matthias P., 2015. "Managing operational disruptions through capital adequacy and process improvement," European Journal of Operational Research, Elsevier, vol. 245(1), pages 320-332.
    10. Dong-Young Lim, 2021. "A Neural Frequency-Severity Model and Its Application to Insurance Claims," Papers 2106.10770, arXiv.org, revised Feb 2024.
    11. Valérie Chavez-Demoulin & Paul Embrechts & Marius Hofert, 2016. "An Extreme Value Approach for Modeling Operational Risk Losses Depending on Covariates," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(3), pages 735-776, September.
    12. 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.
    13. 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.
    14. narjess BOUABDALLAH & jamel Eddine HENCHIRI, 2020. "L' impact des mécanismes de gouvernance interne sur le risque opérationnel bancaire," Journal of Academic Finance, RED research unit, university of Gabes, Tunisia, vol. 11(1), pages 151-189, June.
    15. 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.
    16. Azamat Abdymomunov & Filippo Curti & Atanas Mihov, 2020. "U.S. Banking Sector Operational Losses and the Macroeconomic Environment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(1), pages 115-144, February.
    17. Allen N. Berger & Filippo Curti & Nika Lazaryan & Atanas Mihov & Raluca A. Roman, 2023. "Climate Risks in the U.S. Banking Sector: Evidence from Operational Losses and Extreme Storms," Working Papers 21-31, Federal Reserve Bank of Philadelphia.
    18. Iñaki Aldasoro & Leonardo Gambacorta & Paolo Giudici & Thomas Leach, 2023. "Operational and Cyber Risks in the Financial Sector," International Journal of Central Banking, International Journal of Central Banking, vol. 19(5), pages 340-402, December.
    19. Morrison, Alan & Lóránth, Gyöngyi, 2009. "Internal Reporting Systems, Compensation Contracts, and Bank Regulation," CEPR Discussion Papers 7155, C.E.P.R. Discussion Papers.
    20. Lu Yang & Claudia Czado, 2022. "Two‐part D‐vine copula models for longitudinal insurance claim data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(4), pages 1534-1561, December.

    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:gam:jijfss:v:4:y:2016:i:4:p:20-:d:80815. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.