Enterprise risk management: coping with model risk in a large bank

被引：112

作者：

Wu, D. ^{[1
,2
]}

Olson, D. L. ^{[3
]}

机构：

[1] Univ Toronto, RiskLab, Toronto, ON M5S 3E6, Canada

[2] Reykjavik Univ, Reykjavik, Iceland

[3] Univ Nebraska, Lincoln, NE USA

来源：

JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY | 2010年 / 61卷 / 02期

关键词：

enterprise risk management; model risk management; credit risk; statistical analysis; CREDIT RISK; INFORMATION; SYSTEMS;

D O I：

10.1057/jors.2008.144

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

Enterprise risk management (ERM) has become an important topic in today's more complex, interrelated global business environment, replete with threats from natural, political, economic, and technical sources. Banks especially face financial risks, as the news makes ever more apparent in 2008. This paper demonstrates support to risk management through validation of predictive scorecards for a large bank. The bank developed a model to assess account creditworthiness. The model is validated and compared to credit bureau scores. Alternative methods of risk measurement are compared. Journal of the Operational Research Society (2010) 61, 179-190. doi: 10.1057/jors.2008.144 Published online 7 January 2009

引用

页码：179 / 190

页数：12

共 26 条

[1] A comparison of VaR and CVaR constraints on portfolio selection with the mean-variance model [J].

Alexander, GJ ;

Baptista, AM .

MANAGEMENT SCIENCE, 2004, 50 (09) :1261-1273

[2]

ANDERS U, 2003, RISK, V16, P47

[3]

[Anonymous], J FINANCIAL ENG

[4]

Baranoff E.G., 2004, Journal of Insurance Regulation, V22, P71

[5] Six Sigma availability management of information technology in the Office of the Chief Technology Officer of Washington, DC [J].

Bigio, D ;

Edgeman, RL ;

Ferleman, T .

TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE, 2004, 15 (5-6) :679-687

[6] An introduction to the Enterprise Risk Scorecard [J].

Calandro, Joseph, Jr. ;

Lane, Scott .

MEASURING BUSINESS EXCELLENCE, 2006, 10 (03) :31-40

[7]

Caudle S., 2005, Public Performance Management Review, V28, P352

[8] Quantitative models for operational risk:: Extremes, dependence and aggregation [J].

Chavez-Demoulin, V. ;

Embrechts, P. ;

Neslehova, J. .

JOURNAL OF BANKING & FINANCE, 2006, 30 (10) :2635-2658

[9] A comparative analysis of current credit risk models [J].

Crouhy, M ;

Galai, D ;

Mark, R .

JOURNAL OF BANKING & FINANCE, 2000, 24 (1-2) :59-117

[10] Enterprise risk management: Its origins and conceptual foundation [J].

Dickinson, G .

GENEVA PAPERS ON RISK AND INSURANCE-ISSUES AND PRACTICE, 2001, 26 (03) :360-366

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