External Risk Measures and Basel Accords

Kou, S. G., Peng, X., Heyde, C. C., 2013. Mathematics of Operations Research 38 (3), 393-417.

27 Pages Posted: 12 May 2012 Last revised: 3 Aug 2013

See all articles by Steven Kou

Steven Kou

Boston University

Xianhua Peng

Peking University - HSBC School of Business

Chris Heyde

Columbia University (Deceased)

Date Written: August 1, 2013

Abstract

Choosing a proper external risk measure is of great regulatory importance, as exemplified in the Basel II and Basel III Accord which use Value-at-Risk (VaR) with scenario analysis as the risk measures for setting capital requirements. We argue a good external risk measure should be robust with respect to model misspecification and small changes in the data. A new class of data-based risk measures called natural risk statistics are proposed to incorporate robustness. Natural risk statistics are characterized by a new set of axioms; they include the Basel II and III risk measures and a subclass of robust risk measures as special cases; therefore, they provide a theoretical framework for understanding and, if necessary, extending the Basel accords.

Keywords: financial regulation, capital requirements, risk measure, scenario analysis, robustness, value-at-risk, expected shortfall, tail conditional expectation

JEL Classification: G18, G28, G32, K20, K23

Suggested Citation

Kou, Steven and Peng, Xianhua and Heyde, Chris, External Risk Measures and Basel Accords (August 1, 2013). Kou, S. G., Peng, X., Heyde, C. C., 2013. Mathematics of Operations Research 38 (3), 393-417., Available at SSRN: https://ssrn.com/abstract=2055634 or http://dx.doi.org/10.2139/ssrn.2055634

Steven Kou (Contact Author)

Boston University ( email )

595 Commonwealth Avenue
Boston, MA 02215
United States
6173583318 (Phone)

Xianhua Peng

Peking University - HSBC School of Business ( email )

University Town
Shenzhen, 518055
China

Chris Heyde

Columbia University (Deceased) ( email )

3022 Broadway
New York, NY 10027
United States

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