Diversifying portfolios of US stocks with crude oil and natural gas: A regime-dependent optimization with several risk measures

被引:32
|
作者
Gatfaoui, Hayette [1 ,2 ]
机构
[1] IESEG Sch Management, LEM CNRS 9221, Finance Audit & Control Dept, Socle Grande Arche, Paris Campus,1 Parvis Def, F-92044 Paris, France
[2] Univ Paris 01, Paris, France
关键词
Copula; Energy commodity; Portfolio optimization; Stock market; Tail risk; COMMODITY FUTURES; PRICE SHOCKS; FINANCIALIZATION; MARKETS; VALUATION; VARIANCES; SKEWNESS; COPULAS; ASSETS; TESTS;
D O I
10.1016/j.eneco.2018.12.013
中图分类号
F [经济];
学科分类号
02 ;
摘要
We build a portfolio encompassing U.S. crude oil, natural gas and stocks to study the diversification power of energy commodities. Such diversification power depends on the joint dependence structure of the three types of assets. According to Gatfaoui (2016a), the dependence structure is time-varying because individual asset returns exhibit several variance regimes. We identify the corresponding regime-specific multivariate copulas, and incorporate them to well-chosen risk measures. Specifically, we minimize the portfolio's variance, semi-variance and tail risk, in the presence and the absence of constraints on the portfolio's expected return and/or stock investment. First, the return constraint reduces the performance of the optimal portfolio. Second, the regime-specific portfolio optimization implements an enhanced active management strategy over the whole sample period. Finally, the tail-risk optimal portfolio offers the most interesting risk-return tradeoff. However, variance and semi-variance optimal portfolios can also be considered in the absence of a return constraint. (C) 2018 Elsevier B.V. All rights reserved.
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页码:132 / 152
页数:21
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