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The asymmetric relationship between returns and implied higher moments: Evidence from the crude oil market

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  • Zhang, Xinxin
  • Bouri, Elie
  • Xu, Yahua
  • Zhang, Gongqiu

Abstract

We investigate the asymmetric relations between returns and changes in implied moments (i.e., volatility, skewness, and kurtosis) in the crude oil market using the United States Oil (USO) Fund option data via a quantile regression model that accounts for investors' heterogeneity. The results show an asymmetric relation between returns and changes in implied moments. With respect to the asymmetric return-volatility and return-kurtosis relation, the impacts of negative returns on changes in implied volatility and kurtosis are stronger than positive returns, especially at the upper quantiles. With respect to the asymmetric return-skewness relation, the impacts of positive returns on changes in implied skewness are more dominant than negative returns, especially at the lower quantiles, and an increase in the contemporaneous positive returns is followed by more implied skewness risk, whereas more negative returns are followed by less implied skewness risk. We argue that the combination of fundamental theories, behavioural theories, investors' heterogeneity theory, and preference higher moments theory support the asymmetric relation between return and implied moments.

Suggested Citation

  • Zhang, Xinxin & Bouri, Elie & Xu, Yahua & Zhang, Gongqiu, 2022. "The asymmetric relationship between returns and implied higher moments: Evidence from the crude oil market," Energy Economics, Elsevier, vol. 109(C).
  • Handle: RePEc:eee:eneeco:v:109:y:2022:i:c:s014098832200127x
    DOI: 10.1016/j.eneco.2022.105950
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    Cited by:

    1. Nekhili, Ramzi & Bouri, Elie, 2023. "Higher-order moments and co-moments' contribution to spillover analysis and portfolio risk management," Energy Economics, Elsevier, vol. 119(C).
    2. Tihana Škrinjarić, 2022. "Higher Moments Actually Matter: Spillover Approach for Case of CESEE Stock Markets," Mathematics, MDPI, vol. 10(24), pages 1-34, December.
    3. Sunil K. Mohanty & Stein Frydenberg & Petter Osmundsen & Sjur Westgaard & Christian Skjøld, 2023. "Risk factors in stock returns of U.S. oil and gas companies: evidence from quantile regression analysis," Review of Quantitative Finance and Accounting, Springer, vol. 60(2), pages 715-746, February.
    4. Zhang, Wenting & He, Xie & Hamori, Shigeyuki, 2023. "The impact of the COVID-19 pandemic and Russia-Ukraine war on multiscale spillovers in green finance markets: Evidence from lower and higher order moments," International Review of Financial Analysis, Elsevier, vol. 89(C).
    5. Bouri, Elie, 2023. "Spillovers in the joint system of conditional higher-order moments: US evidence from green energy, brown energy, and technology stocks," Renewable Energy, Elsevier, vol. 210(C), pages 507-523.
    6. Carnero, M. Angeles & León, Angel & Ñíguez, Trino-Manuel, 2023. "Skewness in energy returns: estimation, testing and retain-->implications for tail risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 178-189.

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    More about this item

    Keywords

    Quantile regression; Return-volatility relation; Return-skewness relation; Return-kurtosis relation; USO ETF options;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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