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Are the interdependence characteristics of the US and Canadian energy equity sectors nonlinear and asymmetric?

Author

Listed:
  • Waqas Hanif

    (COMSATS University Islamabad)

  • Jose Arreola Hernandez

    (ESC [Rennes] - ESC Rennes School of Business)

  • Perry Sadorsky

    (Schulich School of Business - York University [Toronto])

  • Seong-Min Yoon

    (PNU - Pusan National University)

Abstract

Nonlinear, symmetric, and asymmetric dependence characteristics in energy equity sectors matter to portfolio investors and risk managers because of the risks and diversification opportunities they entail. Specifically, nonlinear dependence dynamics between assets are harder to predict, monitor, and manage, and can make investment positions go wrong unexpectedly. In this paper, we investigate whether the dependence dynamics of US and Canadian large-capitalized energy equity portfolios are nonlinear, symmetric, or asymmetric. We draw our results by implementing a robust copula approach based on time-varying parameter copulas and vine copula methods. Both time varying parameter and vine-copula methods indicate that the Canadian energy sector portfolio is driven by nonlinear negative tail asymmetric dependence during the global financial crisis and when the full sample period is employed. On the other hand, it displays nonlinear symmetric dependence during the oil price crisis, implying the need for close monitoring and rebalancing and a more continuous assessment of long investment positions. The US energy sector portfolio is driven by positive tail asymmetric dependence, and by symmetric dependence dynamics during crisis and non-crisis periods.

Suggested Citation

  • Waqas Hanif & Jose Arreola Hernandez & Perry Sadorsky & Seong-Min Yoon, 2020. "Are the interdependence characteristics of the US and Canadian energy equity sectors nonlinear and asymmetric?," Post-Print hal-02567429, HAL.
  • Handle: RePEc:hal:journl:hal-02567429
    DOI: 10.1016/j.najef.2019.101065
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    Cited by:

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    2. Wu, Chih-Chiang & Chen, Wei-Peng & Korsakul, Nattawadee, 2021. "Extreme linkages between foreign exchange and general financial markets," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    3. Mensi, Walid & Nekhili, Ramzi & Vo, Xuan Vinh & Suleman, Tahir & Kang, Sang Hoon, 2021. "Asymmetric volatility connectedness among U.S. stock sectors," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    4. Ki-Hong Choi & Insin Kim, 2021. "Co-Movement between Tourist Arrivals of Inbound Tourism Markets in South Korea: Applying the Dynamic Copula Method Using Secondary Time Series Data," Sustainability, MDPI, vol. 13(3), pages 1-13, January.
    5. Zhang, Shufan & Ma, Minda & Li, Kai & Ma, Zhili & Feng, Wei & Cai, Weiguang, 2022. "Historical carbon abatement in the commercial building operation: China versus the US," Energy Economics, Elsevier, vol. 105(C).

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    More about this item

    Keywords

    Energy sectors; Nonlinear dependence structure; Portfolio optimization; Tail dependence; Vine copulas;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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