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Oil price risk exposure: A comparison of financial and non-financial subsectors

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  • Shaeri, Komeil
  • Adaoglu, Cahit
  • Katircioglu, Salih T.

Abstract

This study examines the oil price risk exposure of U.S. financial and non-financial industries over the period of January 1983 to March 2015. We include the oil price risk factor into the Fama and French [17] five-factor asset pricing model and identify the structural breaks in the equity returns using the test created by Bai and Perron [4]. The oil price risk exposures of financial and non-financial industries are estimated at the subsector level. The results show that the degree of oil price sensitivity differs noticeably across subsectors and over time. The magnitude of oil prices' impact on the financial subsectors is considerably lower than the magnitude of its impact on the non-financial subsectors. Among the financial subsectors, Mortgage Finance and Real Estate Services have the largest negative and positive exposures to oil price risk, respectively. Among the non-financial subsectors, Airlines and Oil Equipment Services have the largest negative and positive oil price risk exposures, respectively.

Suggested Citation

  • Shaeri, Komeil & Adaoglu, Cahit & Katircioglu, Salih T., 2016. "Oil price risk exposure: A comparison of financial and non-financial subsectors," Energy, Elsevier, vol. 109(C), pages 712-723.
  • Handle: RePEc:eee:energy:v:109:y:2016:i:c:p:712-723
    DOI: 10.1016/j.energy.2016.05.028
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    References listed on IDEAS

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    1. repec:eee:eneeco:v:78:y:2019:i:c:p:668-679 is not listed on IDEAS
    2. Gao, Xiangyun & Fang, Wei & An, Feng & Wang, Yue, 2017. "Detecting method for crude oil price fluctuation mechanism under different periodic time series," Applied Energy, Elsevier, vol. 192(C), pages 201-212.

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