IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v28y2011i5p2137-2142.html
   My bibliography  Save this article

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 search 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. Roc'io Paredes & Marco Vega, 2020. "An internal fraud model for operational losses in retail banking," Papers 2002.03235, arXiv.org.
    3. 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.
    4. 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.
    5. 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.
    6. 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).

    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. Giordani, Paolo & Jacobson, Tor & Schedvin, Erik von & Villani, Mattias, 2014. "Taking the Twists into Account: Predicting Firm Bankruptcy Risk with Splines of Financial Ratios," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(4), pages 1071-1099, August.
    2. 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.
    3. Moreno, Manuel & Novales, Alfonso & Platania, Federico, 2019. "Long-term swings and seasonality in energy markets," European Journal of Operational Research, Elsevier, vol. 279(3), pages 1011-1023.
    4. Baele, Lieven & Farooq, Moazzam & Ongena, Steven, 2014. "Of religion and redemption: Evidence from default on Islamic loans," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 141-159.
    5. Nusrat Jahan, 2022. "Macroeconomic Determinants of Corporate Credit Spreads: Evidence from Canada," Carleton Economic Papers 22-07, Carleton University, Department of Economics.
    6. Anna Dubinova & Andre Lucas & Sean Telg, 2021. "COVID-19, Credit Risk and Macro Fundamentals," Tinbergen Institute Discussion Papers 21-059/III, Tinbergen Institute.
    7. 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.
    8. Huang, Hsing-Hua & Lee, Han-Hsing, 2013. "Product market competition and credit risk," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 324-340.
    9. 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.
    10. 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.
    11. Arnold, Marc & Hackbarth, Dirk & Puhan, Tatjana-Xenia, 2013. "Financing Asset Sales and Business Cycles," Working Papers on Finance 1320, University of St. Gallen, School of Finance.
    12. Wolff, Christian & Bams, Dennis & Pisa, Magdalena, 2015. "Credit risk characteristics of US small business portfolios," CEPR Discussion Papers 10889, C.E.P.R. Discussion Papers.
    13. Gao, Lin & Süss, Stephan, 2015. "Market sentiment in commodity futures returns," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 84-103.
    14. Suzanne McCoskey & Chihwa Kao, 1997. "A Monte Carlo Comparison of Tests for Cointegration in Panel Data," Econometrics 9712002, University Library of Munich, Germany.
    15. Zietz, Joachim A. & Penn, David A., 2008. "An Unobserved Components Forecasting Model of Non-Farm Employment for the Nashville MSA," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 38(1), pages 1-10.
    16. Neha Seth & Monica Sighania, 2017. "Financial market contagion: selective review of reviews," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 9(4), pages 391-408, November.
    17. Gabriel Jiménez & Steven Ongena & José‐Luis Peydró & Jesús Saurina, 2014. "Hazardous Times for Monetary Policy: What Do Twenty‐Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk‐Taking?," Econometrica, Econometric Society, vol. 82(2), pages 463-505, March.
    18. Mesters, G. & Koopman, S.J., 2014. "Generalized dynamic panel data models with random effects for cross-section and time," Journal of Econometrics, Elsevier, vol. 180(2), pages 127-140.
    19. Dragon Tang & Hong Yan, 2006. "Macroeconomic Conditions, Firm Characteristics, and Credit Spreads," Journal of Financial Services Research, Springer;Western Finance Association, vol. 29(3), pages 177-210, June.
    20. Sigrist, Fabio & Leuenberger, Nicola, 2023. "Machine learning for corporate default risk: Multi-period prediction, frailty correlation, loan portfolios, and tail probabilities," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1390-1406.

    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.