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What Drives Credit Spreads of Oil Companies? Evidence from the Upstream, Integrated and Downstream Industries

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  • Yihong Ma
  • Simon Cottrell
  • Sarath Delpachitra
  • Xiao Yu
  • Ping Jiang
  • Quan Tran Ha Minh

Abstract

The aim of this paper is to examine how a shock in the oil industry affects firms’ debt funding obligations using credit default swaps in different segments of the oil industry’s value chain. In particular, it focuses on two types of shocks suffered by upstream, integrated and downstream firms in the industry, namely (1) endogenous shocks resulting from oil-market shocks, and (2) exogenous shocks resulting from the recent financial crisis and the Covid-19 pandemic. Using a wide data set ranging from 2007 to 2020, this paper measures the dynamic relationships between the CDS spreads of oil-related firms, US dollar exchange rates, and crude oil prices at different sectors of the oil-industry value chain, namely, upstream, integrated and downstream. Overall results show that the upstream firms have suffered the largest impacts during the COVID-19 crisis, when experiencing shocks from USD rates or oil prices. Integrated firms have suffered the second-largest effects, however, and interestingly, no significant impacts from shocks are observed on CDS spreads for downstream firms.

Suggested Citation

  • Yihong Ma & Simon Cottrell & Sarath Delpachitra & Xiao Yu & Ping Jiang & Quan Tran Ha Minh, 2023. "What Drives Credit Spreads of Oil Companies? Evidence from the Upstream, Integrated and Downstream Industries," The Energy Journal, , vol. 44(5), pages 277-300, September.
  • Handle: RePEc:sae:enejou:v:44:y:2023:i:5:p:277-300
    DOI: 10.5547/01956574.44.5.yima
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    References listed on IDEAS

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    1. Shahzad, Syed Jawad Hussain & Naifar, Nader & Hammoudeh, Shawkat & Roubaud, David, 2017. "Directional predictability from oil market uncertainty to sovereign credit spreads of oil-exporting countries: Evidence from rolling windows and crossquantilogram analysis," Energy Economics, Elsevier, vol. 68(C), pages 327-339.
    2. Love, Inessa & Turk Ariss, Rima, 2014. "Macro-financial linkages in Egypt: A panel analysis of economic shocks and loan portfolio quality," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 158-181.
    3. Wang, Jun & Sun, Xiaolei & Li, Jianping, 2020. "How do sovereign credit default swap spreads behave under extreme oil price movements? Evidence from G7 and BRICS countries," Finance Research Letters, Elsevier, vol. 34(C).
    4. Cottrell, Simon & Yu, Xiao & Delpachitra, Sarath & Ma, Yihong, 2021. "What determines wholesale funding costs of the global systemically important banks?," Journal of Banking & Finance, Elsevier, vol. 132(C).
    5. Sharma, Susan Sunila & Thuraisamy, Kannan, 2013. "Oil price uncertainty and sovereign risk: Evidence from Asian economies," Journal of Asian Economics, Elsevier, vol. 28(C), pages 51-57.
    6. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    7. Haibin Zhu, 2006. "An Empirical Comparison of Credit Spreads between the Bond Market and the Credit Default Swap Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 29(3), pages 211-235, June.
    8. Jiang, Yong & Liu, Cenjie & Xie, Rui, 2021. "Oil price shocks and credit spread: Structural effect and dynamic spillover," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
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