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Journal of Banking & Finance Vol. 119 2020

Hedging crash risk in optimal portfolio selection

Shushang Zhu1; Wei Zhu1; Xi Pei2; Xueting Cui3

1 Sun Yat‐Sen University · 2 Shenzhen Polytechnic University · 3 Shanghai University of Finance and Economics

Abstract

When almost all underlying assets suddenly lose a certain part of their nominal value in a market crash, the diversification effect of portfolios in a normal market condition no longer works. We integrate the crash risk into portfolio management and investigate performance measures, hedging and optimization of portfolio selection involving derivatives. A suitable convex conic programming framework based on parametric approximation method is proposed to make the problem a tractable one. Simulation analysis and empirical study are performed to test the proposed approach.

DOI
10.1016/j.jbankfin.2020.105905
Volume
119
Pages
105905
Language
en
Sources
openalex openalex crossref bibtex:phds-export.bib

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