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

被引:14
|
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 50 条
  • [31] How accurate are value-at-risk models at commercial banks?
    Berkowitz, J
    O'Brien, J
    JOURNAL OF FINANCE, 2002, 57 (03): : 1093 - 1111
  • [32] The level and quality of Value-at-Risk disclosure by commercial banks
    Perignon, Christophe
    Smith, Daniel R.
    JOURNAL OF BANKING & FINANCE, 2010, 34 (02) : 362 - 377
  • [33] Modeling Value at Risk of Agricultural Crops Using Extreme Value Theory
    Gong, Xue
    Sriboonchitta, Songsak
    Rahman, Sanzidur
    Kuson, Siwarat
    ADVANCED SCIENCE LETTERS, 2015, 21 (05) : 1339 - 1343
  • [34] The new hybrid value at risk approach based on the extreme value theory
    Radivojevic, Nikola
    Cvjetkovic, Milena
    Stepanov, Saga
    ESTUDIOS DE ECONOMIA, 2016, 43 (01): : 29 - 52
  • [35] A Bayesian approach to extreme value estimation in operational risk modeling
    Ergashev, Bakhodir
    Mittnik, Stefan
    Sekeris, Evan
    JOURNAL OF OPERATIONAL RISK, 2013, 8 (04): : 55 - 81
  • [36] The Policies of the Operational Risk Management: Connotations and Issues of It in the Commercial Banks of China
    Qu Shaoqiang
    Zhang Yuzhong
    PROCEEDINGS OF THE 5TH CONFERENCE ON CHINA'S ECONOMIC OPERATION RISK MANAGEMENT, 2011, : 231 - 236
  • [37] Study on operational risk management in commercial banks based on Bayesian networks
    Li, Bo
    Xu, Cong-wei
    Quan, Cong-na
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON RISK AND RELIABILITY MANAGEMENT, VOLS I AND II, 2008, : 110 - 113
  • [38] Using Conditional Value at Risk (CVaR) to select radiata pine trees for operational deployment
    Pinto, Antonio A.
    Alzamora, Rosa M.
    Apiolaza, Luis A.
    BOSQUE, 2015, 36 (01): : 133 - 137
  • [39] Appraisal of the customer lifetime value of commercial banks based on Unascertained Measurement
    Hao, Suli
    2009 INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT, INNOVATION MANAGEMENT AND INDUSTRIAL ENGINEERING, VOL 2, PROCEEDINGS, 2009, : 399 - 402
  • [40] Extreme Value Analysis for Financial Risk Management
    Nolde, Natalia
    Zhou, Chen
    ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 8, 2021, 2021, 8 : 217 - 240