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The impact of oil price shocks on the risk-return relation in the Chinese stock market

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  • Wen, Fenghua
  • Zhang, Minzhi
  • Xiao, Jihong
  • Yue, Wei

Abstract

This article contributes to the literature on the oil-stock nexus by examining the impact of the supply, demand, and risk shocks of oil prices on the risk-return relation in the Chinese stock market. We find that oil demand shock and oil risk shock rather than oil supply shock can Granger cause the stock risk-return relation. Further analysis based on regression models shows that oil demand shock and oil risk shock positively and negatively affect the stock risk-return relation, respectively. Especially, these significant effects are mainly presented in the post-financialization period of the oil market.

Suggested Citation

  • Wen, Fenghua & Zhang, Minzhi & Xiao, Jihong & Yue, Wei, 2022. "The impact of oil price shocks on the risk-return relation in the Chinese stock market," Finance Research Letters, Elsevier, vol. 47(PB).
    • Handle: RePEc:eee:finlet:v:47:y:2022:i:pb:s1544612322001003
    DOI: 10.1016/j.frl.2022.102788
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    Cited by:

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    3. Melike E. Bildirici & Memet Salman & Özgür Ömer Ersin, 2022. "Nonlinear Contagion and Causality Nexus between Oil, Gold, VIX Investor Sentiment, Exchange Rate and Stock Market Returns: The MS-GARCH Copula Causality Method," Mathematics, MDPI, vol. 10(21), pages 1-16, October.
    4. Feng Ma & M. I. M. Wahab & Julien Chevallier & Ziyang Li, 2023. "A tug of war of forecasting the US stock market volatility: Oil futures overnight versus intraday information," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 60-75, January.
    5. Al-Fayoumi, Nedal & Bouri, Elie & Abuzayed, Bana, 2023. "Decomposed oil price shocks and GCC stock market sector returns and volatility," Energy Economics, Elsevier, vol. 126(C).
    6. Bhaskar Bagchi & Biswajit Paul, 2023. "Effects of Crude Oil Price Shocks on Stock Markets and Currency Exchange Rates in the Context of Russia-Ukraine Conflict: Evidence from G7 Countries," JRFM, MDPI, vol. 16(2), pages 1-18, January.
    7. Attílio, Luccas Assis & Mollick, André Varella, 2024. "Assessing the baseline model of WTI oil and stock returns under financial volatility and spillover effects," Energy Economics, Elsevier, vol. 135(C).
    8. Wen Chang, Hao & Chang, Tsangyao, 2023. "How oil price and exchange rate affect stock price in China using Bayesian Quantile_on_Quantile with GARCH approach," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    9. Liu, Yanqiong & Lu, Jinjin & Shi, Fengyuan, 2023. "Spillover relationship between different oil shocks and high- and low-carbon assets: An analysis based on time-frequency spillover effects," Finance Research Letters, Elsevier, vol. 58(PC).
    10. Hanif, Waqas & Hadhri, Sinda & El Khoury, Rim, 2024. "Quantile spillovers and connectedness between oil shocks and stock markets of the largest oil producers and consumers," Journal of Commodity Markets, Elsevier, vol. 34(C).
    11. Huang, Xiaozhou & Wang, Yubao & Song, Juan, 2023. "The Chinese oil futures volatility: Evidence from high-low estimator information," Finance Research Letters, Elsevier, vol. 56(C).
    12. Wang, Kangsheng & Wen, Fenghua & Gong, Xu, 2024. "Oil prices and systemic financial risk: A complex network analysis," Energy, Elsevier, vol. 293(C).
    13. Aharon, David Y. & Aziz, Mukhriz Izraf Azman & Nor, Safwan Mohd, 2023. "Cross-country study of the linkages between COVID-19, oil prices, and inflation in the G7 countries," Finance Research Letters, Elsevier, vol. 57(C).
    14. He, Zhifang & Sun, Hao & Chen, Jiaqi & Yang, Xin & Yin, Zhujia, 2023. "Dynamic interaction of risk–return trade-offs between oil market and China’s stock market: An analysis from the risk preferences perspective," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    15. Guo, Yaoqi & Shi, Fengyuan & Lin, Boqiang & Zhang, Hongwei, 2023. "The impact of oil shocks from different sources on China's clean energy metal stocks: An analysis of spillover effects based on a time-varying perspective," Resources Policy, Elsevier, vol. 81(C).

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    More about this item

    Keywords

    Oil price shocks; Stock market; Risk-return relation; Oil financialization;
    All these keywords.

    JEL classification:

    • 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
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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