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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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    as
    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. 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.
    3. Das, Sanjiv R. & Hanouna, Paul & Sarin, Atulya, 2009. "Accounting-based versus market-based cross-sectional models of CDS spreads," Journal of Banking & Finance, Elsevier, vol. 33(4), pages 719-730, April.
    4. Brahmasrene, Tantatape & Huang, Jui-Chi & Sissoko, Yaya, 2014. "Crude oil prices and exchange rates: Causality, variance decomposition and impulse response," Energy Economics, Elsevier, vol. 44(C), pages 407-412.
    5. Grossmann, Axel & Love, Inessa & Orlov, Alexei G., 2014. "The dynamics of exchange rate volatility: A panel VAR approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 1-27.
    6. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Wohar, Mark E., 2020. "Spillover effects in oil-related CDS markets during and after the sub-prime crisis," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    7. Hammoudeh, Shawkat & Liu, Tengdong & Chang, Chia-Lin & McAleer, Michael, 2013. "Risk spillovers in oil-related CDS, stock and credit markets," Energy Economics, Elsevier, vol. 36(C), pages 526-535.
    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).
    9. Hull, John & Predescu, Mirela & White, Alan, 2004. "The relationship between credit default swap spreads, bond yields, and credit rating announcements," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2789-2811, November.
    10. Love, Inessa & Zicchino, Lea, 2006. "Financial development and dynamic investment behavior: Evidence from panel VAR," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 190-210, May.
    11. Michael R. M. Abrigo & Inessa Love, 2016. "Estimation of panel vector autoregression in Stata," Stata Journal, StataCorp LLC, vol. 16(3), pages 778-804, September.
    12. 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).
    13. Jing-Zhi Huang & Ming Huang, 2012. "How Much of the Corporate-Treasury Yield Spread Is Due to Credit Risk?," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 2(2), pages 153-202.
    14. Zhang, Wenting & Hamori, Shigeyuki, 2021. "Crude oil market and stock markets during the COVID-19 pandemic: Evidence from the US, Japan, and Germany," International Review of Financial Analysis, Elsevier, vol. 74(C).
    15. Reboredo, Juan C. & Rivera-Castro, Miguel A., 2013. "A wavelet decomposition approach to crude oil price and exchange rate dependence," Economic Modelling, Elsevier, vol. 32(C), pages 42-57.
    16. Chuffart, Thomas & Hooper, Emma, 2019. "An investigation of oil prices impact on sovereign credit default swaps in Russia and Venezuela," Energy Economics, Elsevier, vol. 80(C), pages 904-916.
    17. Da Fonseca, José & Ignatieva, Katja & Ziveyi, Jonathan, 2016. "Explaining credit default swap spreads by means of realized jumps and volatilities in the energy market," Energy Economics, Elsevier, vol. 56(C), pages 215-228.
    18. Kim, Seon Tae & Choi, Bongseok, 2019. "Price risk management and capital structure of oil and gas project companies: Difference between upstream and downstream industries," Energy Economics, Elsevier, vol. 83(C), pages 361-374.
    19. Cashin, Paul & Mohaddes, Kamiar & Raissi, Maziar & Raissi, Mehdi, 2014. "The differential effects of oil demand and supply shocks on the global economy," Energy Economics, Elsevier, vol. 44(C), pages 113-134.
    20. 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).
    21. Long Chen & Pierre Collin-Dufresne & Robert S. Goldstein, 2009. "On the Relation Between the Credit Spread Puzzle and the Equity Premium Puzzle," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3367-3409, September.
    22. 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.
    23. 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.
    24. Galariotis, Emilios C. & Makrichoriti, Panagiota & Spyrou, Spyros, 2016. "Sovereign CDS spread determinants and spill-over effects during financial crisis: A panel VAR approach," Journal of Financial Stability, Elsevier, vol. 26(C), pages 62-77.
    25. Sammo Kang & Sejin Min, 2016. "Effect of the Sovereign Credit Ratings in East Asia Countries: Evidence from Panel Vector Autoregression," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(5), pages 1121-1144, May.
    26. Reboredo, Juan Carlos & Rivera-Castro, Miguel A. & Zebende, Gilney F., 2014. "Oil and US dollar exchange rate dependence: A detrended cross-correlation approach," Energy Economics, Elsevier, vol. 42(C), pages 132-139.
    27. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    28. Filippidis, Michail & Filis, George & Kizys, Renatas, 2020. "Oil price shocks and EMU sovereign yield spreads," Energy Economics, Elsevier, vol. 86(C).
    29. 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.
    30. Boldanov, Rustam & Degiannakis, Stavros & Filis, George, 2016. "Time-varying correlation between oil and stock market volatilities: Evidence from oil-importing and oil-exporting countries," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 209-220.
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