Modeling dynamic higher-order comoments for portfolio selection based on copula approach

Yanfeng Wang, Rui Ke and Dong Yang

International Review of Economics & Finance, 2024, vol. 96, issue PB

Abstract: This paper introduces a novel approach to estimating time-varying higher-order comoments from a theoretical standpoint. We present how to estimate the dynamic higher-order comoments of asset returns under the copula framework, which builds on the ARCD and copula-DCC models to capture the time variation in higher-order moments and correlations of asset returns. Additionally, the elements in the coskewness and cokurtosis matrices are calculated by the double, triple, and quadruple integrals associated with the joint density function of asset returns. The empirical application to five international market indexes shows that the portfolio with time-varying higher-order comoments estimated by the copula approach significantly outperforms equally weighted and mean–variance strategies in economic performance. The robustness analysis verifies the validity and robustness of the proposed estimation method. Our research offers fresh insights for portfolio analysis and risk management decision-making in practical scenarios.

Keywords: Time-varying higher-order comoments; Copula; Conditional distribution; Integral; Portfolio (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:reveco:v:96:y:2024:i:pb:s1059056024006609

DOI: 10.1016/j.iref.2024.103668

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