CVaR measurement and operational risk management in commercial banks according to the peak value method of extreme value theory

被引:15
作者
Yao, Fengge [1 ]
Wen, Hongmei [1 ]
Luan, Jiaqi [1 ]
机构
[1] Harbin Univ Commerce, Financial Coll, Harbin 50028, Peoples R China
关键词
Peak value method of extreme value theory; Operational risks; CVaR measurement model;
D O I
10.1016/j.mcm.2012.07.013
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Management of operational risk is of prime importance in risk management for commercial banks, and many theoretical and practical studies of operational risk management have been carried out. Conditional value-at-risk (CVaR) models based on the peak value method of extreme value theory are used here to measure operational risk. Loss data for commercial banks are used in an empirical analysis. Tests are carried out using a CVaR model to calculate VaR and CVaR at 95% and 99% confidence levels to assess expected and unexpected losses for operational risks. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:15 / 27
页数:13
相关论文
共 35 条
[1]   Credit risk measurement: Developments over the last 20 years [J].
Altman, EI ;
Saunders, A .
JOURNAL OF BANKING & FINANCE, 1997, 21 (11-12) :1721-1742
[2]  
[Anonymous], OPERATIONAL RISK COM
[3]  
[Anonymous], 2004, OPERATIONAL RISK MOD
[4]  
Artzner P., 1999, RISK, P68
[5]  
Block S.B., 1999, FINANC ANAL J, V55, P86, DOI DOI 10.2469/FAJ.V55.N4.2288
[6]  
British Bankers Association International Swaps and Derivatives Association, 2000, J LENDING RISK MANAG, V3, P38
[7]  
Chen D.S., 2004, VALUE ENG, P20
[8]  
China Banking Regulatory Commission, 2005, OP RISK EFF INCR NOT
[9]  
China Banking Regulatory Commission, 2009, WORKING PAPER
[10]  
China Banking Regulatory Commission, 2010, SUP INSP INSTR COMM