Connection Parameters of Heavy-tailed Operational Risk Measurement Model and Management Model

Authors

  • Meiling He Southwestern University of Finance and Economics
  • Shutao Qing Hunan provincial Party School Department of Economics
  • Jianming Mo Southwestern University of Finance and Economics
  • Xiang Gao Shanghai University of Finance and Economics

Keywords:

operational risk; supervising parameters; elasticity theory; operational VaR

Abstract

In order to connect the heavy-tailed operational risk measurement model with management model, a model identifying the crucial supervising parameters of operational risk is built after the heavy-tailed operational VaR’s sensitivity is theoretically researched by the elasticity analysis method. Further, the analysis of model application is illustrated with a numerical example. The crucial supervising parameters connect the operational risk measurement model and management model, which make the operational risk management frameworks to be a complete system. And a dynamical supervising system of operational risk is established. This research in theory improves the application of loss distribution approach to the operational risk measurement and management.

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Published

2021-10-15

How to Cite

Meiling He, Shutao Qing, Jianming Mo, & Xiang Gao. (2021). Connection Parameters of Heavy-tailed Operational Risk Measurement Model and Management Model. Journal of Risk Analysis and Crisis Response, 6(3). Retrieved from https://jracr.com/index.php/jracr/article/view/174

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Article