Analytical Method of Computing Stressed Value-at-Risk with Conditional Value-at-Risk

22 Pages Posted: 14 Dec 2016

Date Written: December 13, 2016

Abstract

This paper develops an analytical form of stressed value-at-risk (analytical SVaR), one of the most important changes implemented by Basel II, using conditional value-at-risk (CoVaR). We also validate analytical SVaR empirically and theoretically. The proposed analytical risk measure can be readily applied to the existing risk-management framework. It is a computationally inexpensive tool for screening conditional portfolio risk, is reasonably accurate and has desirable statistical properties. It is suitable for use by any business that evaluates conditional financial risk with respect to market conditions. The theoretical result of this paper also suggests that CoVaR may fail to properly capture conditional risk when it is most pronounced.

Keywords: conditional risk, conditional value-at-risk (CoVaR), delta-normal method, stressed value-at-risk (SVaR), risk management

Suggested Citation

Hong, KiHoon Jimmy, Analytical Method of Computing Stressed Value-at-Risk with Conditional Value-at-Risk (December 13, 2016). Journal of Risk, Forthcoming, Available at SSRN: https://ssrn.com/abstract=2884712

KiHoon Jimmy Hong (Contact Author)

Hongik University ( email )

Mapogu
94
Seoul, Seoul 121
Korea, Republic of (South Korea)

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
0
Abstract Views
771
PlumX Metrics