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Quantifying reputational effects for publicly traded financial institutions

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Abstract

This paper aims to measure reputational effects for financial institutions by examining a firm‟s stock price reaction to the announcement of particular operational loss events such as internal frauds. For this purpose we conduct an event study analysis of the impact of operational loss events on the market values of banks and insurance companies, using the OpVar database (OpData® dataset supplied by OpVantage®). This analysis concerns a number of publicly reported banking and insurance operational risk events affecting publicly traded U.S. or European institutions from 2000 to 2006 that caused operational losses of at least U.S.$20 million – a total of 20 bank and insurance company events. We estimate for these institutions the cumulative abnormal returns and find that stock prices react immediately and negatively to announcements of operational losses due to internal frauds. We conclude our analysis by estimating the „reputational value-at-risk‟ at a given confidence level, which represents the economic capital needed to cover reputational losses over a specified holding period with a specific confidence level.

Suggested Citation

  • Cannas, Giuseppina & Masala, Giovanni & Micocci, Marco, 2009. "Quantifying reputational effects for publicly traded financial institutions," Journal of Financial Transformation, Capco Institute, vol. 27, pages 76-81.
    • Handle: RePEc:ris:jofitr:1388
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    Citations

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    Cited by:

    1. 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.
    2. Barakat, Ahmed & Ashby, Simon & Fenn, Paul & Bryce, Cormac, 2019. "Operational risk and reputation in financial institutions: Does media tone make a difference?," Journal of Banking & Finance, Elsevier, vol. 98(C), pages 1-24.
    3. Nadine Gatzert & Joan T. Schmit & Andreas Kolb, 2016. "Assessing the Risks of Insuring Reputation Risk," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(3), pages 641-679, September.
    4. Jose Manuel Feria-Dominguez & Enrique Jimenez-Rodriguez & Ines Merino Fernandez-Galiano, 2013. "Isolating the corporate reputational risk in environmental oil spill disasters," Working Papers 13.02, Universidad Pablo de Olavide, Department of Financial Economics and Accounting (former Department of Business Administration).
    5. Eling, Martin & Wirfs, Jan, 2019. "What are the actual costs of cyber risk events?," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1109-1119.
    6. Eckert, Christian & Gatzert, Nadine & Heidinger, Dinah, 2020. "Empirically assessing and modeling spillover effects from operational risk events in the insurance industry," Insurance: Mathematics and Economics, Elsevier, vol. 93(C), pages 72-83.
    7. 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.
    8. Sturm, Philipp, 2013. "Operational and reputational risk in the European banking industry: The market reaction to operational risk events," Journal of Economic Behavior & Organization, Elsevier, vol. 85(C), pages 191-206.
    9. Fdez-Galiano, Inés Merino & Feria-Dominguez, José Manuel, 2024. "Do ESG disclosures mitigate investors’ reaction on mining disasters? Evidence from Brazil," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 256-267.
    10. Mariano González Sánchez & María Encina Morales de Vega, 2018. "Corporate reputation and firms' performance: Evidence from Spain," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 25(6), pages 1231-1245, November.
    11. José M. Feria-Domínguez & Enrique Jiménez-Rodríguez & Inés Merino Fdez-Galiano, 2016. "Financial Perceptions on Oil Spill Disasters: Isolating Corporate Reputational Risk," Sustainability, MDPI, vol. 8(11), pages 1-15, November.
    12. Eling, Martin & Wirfs, Jan Hendrik, 2016. "Cyber Risk: Too Big to Insure? Risk Transfer Options for a mercurial risk class," I.VW HSG Schriftenreihe, University of St.Gallen, Institute of Insurance Economics (I.VW-HSG), volume 59, number 59.

    More about this item

    Keywords

    Reputational risk; financial institutions;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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