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Portfolio optimization with relative tail risk

  • Johns Hopkins University

Research output: Contribution to journalArticlepeer-review

Abstract

This paper proposes analytic forms of portfolio conditional value at risk (CoVaR) and the mean of the portfolio loss conditional on it being in financial distress (CoCVaR) on the normal tempered stable market model. Since CoCVaR captures the relative risk of the portfolio with respect to a benchmark return, we apply it to relative portfolio optimization. Moreover, we derive analytic forms for the marginal contribution to CoVaR and the marginal contribution to CoCVaR. We discuss the Monte-Carlo simulation method for calculating CoCVaR and the marginal contributions of CoVaR and CoCVaR. We provide an empirical illustration to show relative portfolio optimization with 30 stocks included in the Dow Jones Industrial Average under distressed conditions. Finally, we apply the risk budgeting method to reduce the CoVaR and CoCVaR of the portfolio based on the marginal contributions to CoVaR and CoCVaR.

Original languageEnglish
Pages (from-to)1023-1055
Number of pages33
JournalAnnals of Operations Research
Volume341
Issue number2-3
DOIs
StatePublished - Oct 2024

Keywords

  • CoCVaR
  • CoVaR
  • Marginal contribution to risk
  • Normal tempered stable model
  • Portfolio optimization
  • Relative tail risk

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