Modeling operational risk incorporating reputation risk: an integrated analysis for financial firms. (English) Zbl 1394.91210
Summary: It has been shown in the empirical literature that operational losses of financial firms can cause severe reputational losses, which, however, are typically not taken into account when modeling and assessing operational risk. The aim of this paper is to fill this gap by assessing the consequences of operational risk for a financial firm including reputational losses. Toward this end, we extend current operational risk models by incorporating reputation losses. We propose three different models for reputation risk: a simple deterministic approach, a stochastic model using distributional assumptions, and an extension of the second model by taking into account a firm’s ability to deal with reputation events. Our results emphasize that reputational losses can by far exceed the original operational loss and that neglecting reputational losses may lead to a severe underestimation of certain operational risk types and especially fraud events.
MSC:
| 91B30 | Risk theory, insurance (MSC2010) |
| 91G50 | Corporate finance (dividends, real options, etc.) |
| 91G70 | Statistical methods; risk measures |
Keywords:
operational risk; reputation risk; Solvency II; Basel III; loss distribution approach; value at riskReferences:
| [2] | Angela, C.; Bisignani, R.; Masala, G.; Micocci, M., Advanced operational risk modelling in banks and insurance companies, Invest. Manag. Financ. Innov., 6, 3, 73-83 (2009) |
| [5] | Barnett, M. L.; Jermier, J. M.; Lafferty, B. A., Corporate reputation: The definitional landscape, Corp. Reput. Rev., 9, 1, 26-38 (2006) |
| [10] | Biell, L.; Muller, A., Sudden crash or long torture: The timing of market reactions to operational loss events, J. Bank. Finance, 37, 7, 2628-2638 (2013) |
| [12] | Brechmann, E.; Czado, C.; Paterlini, S., Flexible dependence modeling of operational risk losses and its impact on total capital requirements, J. Bank. Finance, 40, 271-285 (2014) |
| [14] | Cannas, G.; Masala, G.; Micocci, M., Quantifying reputational effects for publicly traded financial institutions, J. Financ. Transform., 27, 76-81 (2009) |
| [15] | Chaudhury, M., A review of the key issues in operational risk capital modeling, J. Oper. Risk, 5, 3, 37-66 (2010) |
| [16] | Chavez-Demoulin, V.; Embrechts, P.; Nešlehová, J., Quantitative models for operational risk: Extremes, dependence and aggregation, J. Bank. Finance, 30, 2635-2658 (2006) |
| [17] | Clardy, A., Organizational reputation: Issues in conceptualization and measurement, Corp. Reput. Rev., 15, 4, 285-303 (2012) |
| [19] | Cummins, J. D.; Lewis, C. M.; Wei, R., The market value impact of operational loss events for US banks and insurers, J. Bank. Finance, 30, 10, 2605-2634 (2006) |
| [21] | Dahen, H.; Dionne, G., Scaling models for the severity and frequency of external operational loss data, J. Bank. Finance, 34, 1484-1496 (2010) |
| [24] | Fiordelisi, F.; Soana, M.-G.; Schwizer, P., The determinants of reputational risk in the banking sector, J. Bank. Finance, 37, 5, 1359-1371 (2013) |
| [25] | Fiordelisi, F.; Soana, M.-G.; Schwizer, P., Reputational losses and operational risk in banking, Eur. J. Finance, 20, 2, 105-124 (2014) |
| [26] | Fombrun, C. J., Reputation: Realizing Value from the Corporate Image (1996), Harvard Business School Press: Harvard Business School Press Boston, MA |
| [27] | Fombrun, C. J., The building blocks of corporate reputation: Definitions, antecedents, consequences, (Barnett, M. L.; Pollock, T. G., The Oxford Handbook of Corporate Reputation (2012), Oxford University Press: Oxford University Press Oxford), 94-113 |
| [28] | Fombrun, C. J.; Gardberg, N. A.; Sever, J. M., The reputation quotient \({}^{SM}\): A multi-stakeholder measure of corporate reputation, J. Brand Manag., 7, 4, 241-255 (2000) |
| [29] | Gatzert, N.; Kolb, A., Risk measurement and management of operational risk in insurance companies from an enterprise perspective, J. Risk Insur., 81, 3, 683-708 (2014) |
| [30] | Gatzert, N.; Schmeiser, H., Combining fair pricing and capital requirements for non-life insurance companies, J. Bank. Finance, 32, 10, 2589-2596 (2008) |
| [31] | Gatzert, N.; Schmit, J.; Kolb, A., Assessing the risks of insuring reputation risk, J. Risk Insur., 83, 3, 641-679 (2016) |
| [32] | Gillet, R.; Hübner, G.; Plunus, S., Operational risk and reputation in the financial industry, J. Bank. Finance, 34, 1, 224-235 (2010) |
| [33] | Gourier, E.; Farkas, W.; Abbate, D., Operational risk quantification using extreme value theory and copulas: From theory to practice, J. Oper. Risk, 4, 3, 1-24 (2009) |
| [34] | Helm, S., Corporate reputation: An introduction to a complex construct, (Helm, S.; Liehr-Gobbers, K.; Storck, C., Reputation Management (2011), Springer: Springer Berlin), 3-16 |
| [35] | Hess, C., The impact of the financial crisis on operational risk in the financial services industry: Empirical evidences, J. Oper. Risk, 6, 1, 23-35 (2011) |
| [36] | Hess, C., Can the single-loss approximation method compete with the standard Monte Carlo simulation technique?, J. Oper. Risk, 6, 2, 31-43 (2011) |
| [37] | Johnson, W. C.; Xie, W.; Yi, S., Corporate fraud and the value of reputations in the product market, J. Corp. Finance, 25, 16-39 (2014) |
| [39] | Karpoff, J. M.; Lee, D. S.; Martin, G. S., The cost to firms of cooking the books, J. Financ. Quant. Anal., 43, 3, 581-611 (2008) |
| [40] | Klenke, A., Probability Theory: A Comprehensive Course (2013), Springer: Springer London · Zbl 1141.60001 |
| [42] | McNeil, A.; Frey, R.; Embrechts, P., Quantitative Risk Management (2005), Princeton University Press: Princeton University Press Princeton, NJ · Zbl 1089.91037 |
| [43] | McWilliams, A.; Siegel, D., Event studies in management research: Theoretical and empirical issues, Acad. Manag. J., 40, 3, 626-657 (1997) |
| [45] | Murphy, D. L.; Shrieves, R. E.; Tibbs, S. L., Understanding the penalties associated with corporate misconduct: An empirical examination of earnings and risk, J. Financ. Quant. Anal., 44, 1, 55-83 (2009) |
| [47] | Regan, L., A framework for integrating reputation risk into the enterprise risk management process, J. Financ. Transform., 22, 187-194 (2008) |
| [48] | Rindova, V. P.; Williamson, I. O.; Petkova, A. P.; Sever, J. M., Being good or being known: An empirical examination of the dimensions, antecedents, and consequences of organizational reputation, Acad. Manag. J., 48, 6, 1033-1049 (2005) |
| [49] | Shevchenko, P. V., Calculation of aggregate loss distributions, J. Oper. Risk, 5, 2, 3-40 (2010) |
| [51] | Soprano, A.; Crielaard, B.; Piacenza, F.; Ruspantini, D., Measuring Operational and Reputational Risk: A Practitioner’s Approach (2009), John Wiley & Sons Ltd.: John Wiley & Sons Ltd. Chichester |
| [52] | Sturm, P., Operational and reputational risk in the European banking industry: The market reaction to operational risk events, J. Econ. Behav. Organ., 85, 191-206 (2013) |
| [54] | Tonello, M., Reputation Risk-A Corporate Governance Perspective. Research Report R-1412-07-WG (2007), Conference Board, www.conference-board.org (accessed: 10.04.14) |
| [55] | Wald, A., On cumulative sums of random variables, Ann. Math. Statist., 15, 3, 283-296 (1944) · Zbl 0063.08122 |
| [56] | Walker, K., A systematic review of the corporate reputation literature: Definition, measurement, and theory, Corp. Reput. Rev., 12, 4, 357-387 (2010) |
| [57] | Walter, I., The value of reputational capital and risk in banking and finance, Int. J. Bank. Account. Finance, 5, 1-2, 205-219 (2013) |
| [58] | Wartick, S. L., Measuring corporate reputation, Bus. Soc., 41, 4, 371-392 (2002) |
| [59] | Young, B.; Coleman, R., Operational Risk Assessment: The Commercial Imperative of a More Forensic and Transparent Approach (2009), John Wiley & Sons Ltd.: John Wiley & Sons Ltd. Chichester |
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