Conditional Value-at-Risk-Based Optimal Partial Hedging

36 Pages Posted: 8 Jun 2016

See all articles by Jianfa Cong

Jianfa Cong

University of Waterloo - Department of Statistics and Actuarial Science

Ken Seng Tan

University of Waterloo

Chengguo Weng

University of Waterloo; University of Waterloo - Department of Statistics and Actuarial Science

Date Written: February 28, 2014

Abstract

In this paper, we consider the problem of optimal partial hedging for a contingent claim subject to a preset hedging budget constraint. Under some technical assumptions on the hedged loss function and the market pricing functional, the optimal partial hedging strategy, which minimizes the conditional value-at-risk (CVaR) of the hedger’s total risk exposure, is derived explicitly. Some in-depth analysis is conducted for a utility-based indifference pricing functional. Ample numerical examples are presented to highlight the comparative advantages of the proposed CVaR-based hedging strategy relative to other hedging strategies including expected shortfall hedging, VaR-based hedging strategies and the CVaR hedging strategy of Melnikov and Smirnov. Among these hedging strategies, the numerical examples demonstrate that our proposed CVaR-based hedging is more robust and more effective in terms of managing the tail risk of the hedger’s risk exposure.

Keywords: hedging, value-at-risk, optimal partial hedging

Suggested Citation

Cong, Jianfa and Tan, Ken Seng and Weng, Chengguo, Conditional Value-at-Risk-Based Optimal Partial Hedging (February 28, 2014). Journal of Risk, Vol. 16, No. 3, 2014, Available at SSRN: https://ssrn.com/abstract=2790908

Jianfa Cong (Contact Author)

University of Waterloo - Department of Statistics and Actuarial Science ( email )

Waterloo, Ontario N2L 3G1
Canada

Ken Seng Tan

University of Waterloo ( email )

Waterloo, Ontario N2L 3G1
Canada

Chengguo Weng

University of Waterloo ( email )

M3-200 Univ Ave W
Waterloo, Ontario N2L3G1
Canada
(1)888-4567 ext.31132 (Phone)

University of Waterloo - Department of Statistics and Actuarial Science ( email )

200 University Avenue West
Waterloo, Ontario N2L 3G1
Croatia

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