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Analyzing causality between epidemics and oil prices: Role of the stock market

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  • Sui, Bo
  • Chang, Chun-Ping
  • Jang, Chyi-Lu
  • Gong, Qiang

Abstract

This research investigates the impacts of three categories of epidemics on crude oil price using both an interaction term as well as a system of simultaneous equations, employing data from throughout the world for the period 1976 to 2018. Our empirical evidence confirms that epidemic strength is a key factor influencing oil price, and that the effect spreads from the stock market due to speculative investor behavior. Considering the wide heterogeneity of national development and income, the contagion channel of the stock market does not exhibit differences among countries based on variation in income level, but the influence of epidemics on oil price and on the contagion channel is significant in OECD countries. One policy implication is that countries should enact synergistic governance to prevent epidemic-based contagion. Moreover, national governments need to increase communication of information and decrease information asymmetry in the stock market.

Suggested Citation

  • Sui, Bo & Chang, Chun-Ping & Jang, Chyi-Lu & Gong, Qiang, 2021. "Analyzing causality between epidemics and oil prices: Role of the stock market," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 148-158.
    • Handle: RePEc:eee:ecanpo:v:70:y:2021:i:c:p:148-158
    DOI: 10.1016/j.eap.2021.02.004
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    More about this item

    Keywords

    Epidemic; Oil price; Stock market;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • 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

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