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

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  • Gatfaoui, Hayette

Abstract

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.

Suggested Citation

  • Gatfaoui, Hayette, 2019. "Diversifying portfolios of U.S. stocks with crude oil and natural gas: A regime-dependent optimization with several risk measures," Energy Economics, Elsevier, vol. 80(C), pages 132-152.
  • Handle: RePEc:eee:eneeco:v:80:y:2019:i:c:p:132-152
    DOI: 10.1016/j.eneco.2018.12.013
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    Keywords

    Copula; Energy commodity; Portfolio optimization; Stock market; Tail risk;

    JEL classification:

    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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