IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v28y2011i5p2137-2142.html

Operational risk as a function of the state of the economy

Author

Listed:
  • Moosa, Imad

Abstract

This paper examines the frequency and severity of the operational losses incurred by U.S. firms during the period 1990-2007, as reported by Fitch Risk. The losses are examined in relation to the state of the U.S. economy as represented by the unemployment rate, which is the macroeconomic variable that is most intuitively appealing in terms of association with the incidence of operational losses. The results of structural time series modelling reveal that while total severity and average severity are positively related to the unemployment rate, the frequency of losses is not.

Suggested Citation

  • Moosa, Imad, 2011. "Operational risk as a function of the state of the economy," Economic Modelling, Elsevier, vol. 28(5), pages 2137-2142, September.
  • Handle: RePEc:eee:ecmode:v:28:y:2011:i:5:p:2137-2142
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999311001313
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Duffie, Darrell & Saita, Leandro & Wang, Ke, 2007. "Multi-period corporate default prediction with stochastic covariates," Journal of Financial Economics, Elsevier, vol. 83(3), pages 635-665, March.
    2. Harvey, Andrew, 1997. "Trends, Cycles and Autoregressions," Economic Journal, Royal Economic Society, vol. 107(440), pages 192-201, January.
    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. Larry Li & Imad Moosa, 2015. "Operational risk, the legal system and governance indicators: a country-level analysis," Applied Economics, Taylor & Francis Journals, vol. 47(20), pages 2053-2072, April.
    2. Imad Moosa & Larry Li, 2013. "The frequency and severity of operational losses: a cross-country comparison," Applied Economics Letters, Taylor & Francis Journals, vol. 20(2), pages 167-172, February.
    3. narjess BOUABDALLAH & jamel Eddine HENCHIRI, 2020. "impact of operational risk on credit risk and liquidity risk," Journal of Academic Finance, RED research unit, university of Gabes, Tunisia, vol. 11(1), pages 151-175, June.
    4. Wagner, Stephan M. & Mizgier, Kamil J. & Papageorgiou, Stylianos, 2017. "Operational disruptions and business cycles," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 66-78.
    5. Berlinger, Edina & Lilla Keresztúri, Judit & Lublóy, Ágnes & Vőneki Tamásné, Zsuzsanna, 2022. "Press freedom and operational losses: The monitoring role of the media," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    6. Roc'io Paredes & Marco Vega, 2020. "An internal fraud model for operational losses in retail banking," Papers 2002.03235, arXiv.org.

    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. Chen, Peimin & Wu, Chunchi, 2014. "Default prediction with dynamic sectoral and macroeconomic frailties," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 211-226.
    2. Joël Cariolle & Michaël Goujon, 2015. "Measuring Macroeconomic Instability: A Critical Survey Illustrated With Exports Series," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 1-26, February.
    3. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.
    4. Terence C. Mills, 2004. "Time Series Modelling of Trends in Northern Hemispheric Average Temperature Series," Energy & Environment, , vol. 15(5), pages 743-753, September.
    5. Anderson, Ronald W., 2008. "Some determinants of the price of default risk," LSE Research Online Documents on Economics 24435, London School of Economics and Political Science, LSE Library.
    6. Agostino Capponi & Zhaonan Qu, 2025. "Handling Sparse Non-negative Data in Finance," Papers 2509.01478, arXiv.org.
    7. Denis Fougère & Golfier, C. & Guillaume Horny & Elisabeth Kremp, 2013. "What has been the impact of the 2008 crisis on firms default? (in French)," Working papers 463, Banque de France.
    8. Maravall, A. & del Rio, A., 2007. "Temporal aggregation, systematic sampling, and the Hodrick-Prescott filter," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 975-998, October.
    9. Meles, Antonio & Salerno, Dario & Sampagnaro, Gabriele & Verdoliva, Vincenzo & Zhang, Jianing, 2023. "The influence of green innovation on default risk: Evidence from Europe," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 692-710.
    10. Hall, Viv B & Thomson, Peter, 2022. "A boosted HP filter for business cycle analysis: evidence from New Zealand’s small open economy," Working Paper Series 9473, Victoria University of Wellington, School of Economics and Finance.
    11. Nusrat Jahan, 2022. "Macroeconomic Determinants of Corporate Credit Spreads: Evidence from Canada," Carleton Economic Papers 22-07, Carleton University, Department of Economics.
    12. Michael Halling & Evelyn Hayden, 2008. "Bank failure prediction: a two-step survival time approach," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 56th ISI Session, Lisbon, August 2007, volume 28, pages 48-73, Bank for International Settlements.
    13. Lupu Dan, 2013. "Financial Micromanagement For Bse Firms," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 5, pages 5-9, October.
    14. Anna Dubinova & Andre Lucas & Sean Telg, 2021. "COVID-19, Credit Risk and Macro Fundamentals," Tinbergen Institute Discussion Papers 21-059/III, Tinbergen Institute.
    15. Hristov, Nikolay & Hülsewig, Oliver, 2017. "Unexpected loan losses and bank capital in an estimated DSGE model of the euro area," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 161-186.
    16. Huang, Hsing-Hua & Lee, Han-Hsing, 2013. "Product market competition and credit risk," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 324-340.
    17. repec:onb:oenbwp:y::i:152:b:1 is not listed on IDEAS
    18. Ruey-Ching Hwang & Huimin Chung & Jiun-Yi Ku, 2013. "Predicting Recurrent Financial Distresses with Autocorrelation Structure: An Empirical Analysis from an Emerging Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 43(3), pages 321-341, June.
    19. Rösch, Daniel & Scheule, Harald, 2009. "The Empirical Relation between Credit Quality, Recovery and Correlation," Hannover Economic Papers (HEP) dp-418, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    20. Filipe, Sara Ferreira & Grammatikos, Theoharry & Michala, Dimitra, 2016. "Forecasting distress in European SME portfolios," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 112-135.
    21. Giesecke, Kay & Longstaff, Francis A. & Schaefer, Stephen & Strebulaev, Ilya, 2011. "Corporate bond default risk: A 150-year perspective," Journal of Financial Economics, Elsevier, vol. 102(2), pages 233-250.

    More about this item

    Keywords

    ;

    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:eee:ecmode:v:28:y:2011:i:5:p:2137-2142. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    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.