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Systemic risk and financial contagion across top global energy companies

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  • Wu, Fei
  • Zhang, Dayong
  • Ji, Qiang

Abstract

This study seeks to explore the firm-level interconnections in the fast changing and integrating global energy market. We investigate the risk connectedness using a Value-at-Risk (VaR) measure within a network composed of the top 20 global energy companies recognized by the Platts global energy company rankings, using the Diebold and Yilmaz's (2014) approach. We manage to identify the top risk contributors to the system across companies, regions and industries, and construct a total systemic risk index (TSRI) of the energy system. We further investigate which risk factors play a role in driving the evolution of the TSRI, again from a network perspective. The results show that its dynamics are mainly driven by the US stock market volatility and investors' sentiment in the financial market over the full sample, while energy market risks and exchange rate movements exert significant but short-term influences.

Suggested Citation

  • Wu, Fei & Zhang, Dayong & Ji, Qiang, 2021. "Systemic risk and financial contagion across top global energy companies," Energy Economics, Elsevier, vol. 97(C).
  • Handle: RePEc:eee:eneeco:v:97:y:2021:i:c:s0140988321001262
    DOI: 10.1016/j.eneco.2021.105221
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    as
    1. David C Broadstock & Rui Wang & Dayong Zhang, 2014. "The direct and indirect effects of oil shocks on energy related stocks," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 146, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    2. Geng, Jiang-Bo & Du, Ya-Juan & Ji, Qiang & Zhang, Dayong, 2021. "Modeling return and volatility spillover networks of global new energy companies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    3. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    4. Restrepo, Natalia & Uribe, Jorge M. & Manotas, Diego, 2018. "Financial risk network architecture of energy firms," Applied Energy, Elsevier, vol. 215(C), pages 630-642.
    5. Boyer, M. Martin & Filion, Didier, 2007. "Common and fundamental factors in stock returns of Canadian oil and gas companies," Energy Economics, Elsevier, vol. 29(3), pages 428-453, May.
    6. Bianconi, Marcelo & Yoshino, Joe A., 2014. "Risk factors and value at risk in publicly traded companies of the nonrenewable energy sector," Energy Economics, Elsevier, vol. 45(C), pages 19-32.
    7. Singh, Vipul Kumar & Kumar, Pawan & Nishant, Shreyank, 2019. "Global connectedness of MSCI energy equity indices: A system-wide network approach," Energy Economics, Elsevier, vol. 84(C).
    8. Hong, Yongmiao & Liu, Yanhui & Wang, Shouyang, 2009. "Granger causality in risk and detection of extreme risk spillover between financial markets," Journal of Econometrics, Elsevier, vol. 150(2), pages 271-287, June.
    9. Yan‐ran Ma & Qiang Ji & Jiaofeng Pan, 2019. "Oil financialization and volatility forecast: Evidence from multidimensional predictors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(6), pages 564-581, September.
    10. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    11. Wu, Fei & Zhang, Dayong & Zhang, Zhiwei, 2019. "Connectedness and risk spillovers in China’s stock market: A sectoral analysis," Economic Systems, Elsevier, vol. 43(3).
    12. Ji, Qiang & Zhang, Dayong, 2019. "How much does financial development contribute to renewable energy growth and upgrading of energy structure in China?," Energy Policy, Elsevier, vol. 128(C), pages 114-124.
    13. Sheng, Xin & Gupta, Rangan & Ji, Qiang, 2020. "The impacts of structural oil shocks on macroeconomic uncertainty: Evidence from a large panel of 45 countries," Energy Economics, Elsevier, vol. 91(C).
    14. Luo, Jiawen & Ji, Qiang, 2018. "High-frequency volatility connectedness between the US crude oil market and China's agricultural commodity markets," Energy Economics, Elsevier, vol. 76(C), pages 424-438.
    15. Ji, Qiang & Liu, Bing-Yue & Nehler, Henrik & Uddin, Gazi Salah, 2018. "Uncertainties and extreme risk spillover in the energy markets: A time-varying copula-based CoVaR approach," Energy Economics, Elsevier, vol. 76(C), pages 115-126.
    16. Antonakakis, Nikolaos & Cunado, Juncal & Filis, George & Gabauer, David & Perez de Gracia, Fernando, 2018. "Oil volatility, oil and gas firms and portfolio diversification," Energy Economics, Elsevier, vol. 70(C), pages 499-515.
    17. Ma, Yan-Ran & Zhang, Dayong & Ji, Qiang & Pan, Jiaofeng, 2019. "Spillovers between oil and stock returns in the US energy sector: Does idiosyncratic information matter?," Energy Economics, Elsevier, vol. 81(C), pages 536-544.
    18. Wu, Fei, 2019. "Sectoral contributions to systemic risk in the Chinese stock market," Finance Research Letters, Elsevier, vol. 31(C).
    19. David C. Broadstock, Ying Fan, Qiang Ji, and Dayong Zhang, 2016. "Shocks and Stocks: A Bottom-up Assessment of the Relationship Between Oil Prices, Gasoline Prices and the Returns of Chinese Firms," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    20. Sheng, Yu & Shi, Xunpeng, 2013. "Energy market integration and equitable growth across countries," Applied Energy, Elsevier, vol. 104(C), pages 319-325.
    21. Broadstock, David C. & Wang, Rui & Zhang, Dayong, 2014. "Direct and indirect oil shocks and their impacts upon energy related stocks," Economic Systems, Elsevier, vol. 38(3), pages 451-467.
    22. Mohamed El Hedi Arouri & Christophe Rault, 2012. "Oil Prices And Stock Markets In Gcc Countries: Empirical Evidence From Panel Analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 242-253, July.
    23. Viral Acharya & Robert Engle & Matthew Richardson, 2012. "Capital Shortfall: A New Approach to Ranking and Regulating Systemic Risks," American Economic Review, American Economic Association, vol. 102(3), pages 59-64, May.
    24. Hu, Min & Zhang, Dayong & Ji, Qiang & Wei, Lijian, 2020. "Macro factors and the realized volatility of commodities: A dynamic network analysis," Resources Policy, Elsevier, vol. 68(C).
    25. Zhu, Zhaobo & Ji, Qiang & Sun, Licheng & Zhai, Pengxiang, 2020. "Oil price shocks, investor sentiment, and asset pricing anomalies in the oil and gas industry," International Review of Financial Analysis, Elsevier, vol. 70(C).
    26. Wu, Fei & Zhao, Wan-Li & Ji, Qiang & Zhang, Dayong, 2020. "Dependency, centrality and dynamic networks for international commodity futures prices," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 118-132.
    27. Zhang, Dayong, 2017. "Oil shocks and stock markets revisited: Measuring connectedness from a global perspective," Energy Economics, Elsevier, vol. 62(C), pages 323-333.
    28. 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.
    29. Zhang, Dayong & Lei, Lei & Ji, Qiang & Kutan, Ali M., 2019. "Economic policy uncertainty in the US and China and their impact on the global markets," Economic Modelling, Elsevier, vol. 79(C), pages 47-56.
    30. Dayong Zhang, 2018. "Energy Finance: Background, Concept, and Recent Developments," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(8), pages 1687-1692, June.
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