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Oil Price Risk and Financial Contagion

Author

Listed:
  • Khaled Guesmi
  • Ilyes Abid
  • Anna Creti
  • Julien Chevallier

Abstract

In this paper we test for the existence of equity market contagion, originating from oil price fluctuations, to regional and domestic stock markets. The data are collected over the period from April 1993 to April 2015. We apply an empirical multifactor asset pricing model with three-factor setting to capture the unexpected return and disentangle simple correlation due to fundamentals and contagion. We investigate four regions: the European Monetary Union (EMU), Asia-Pacific (AP), the Non-European Monetary Union (NEMU) and North America (NA). We define contagion as the excess correlation that is not explained by fundamental factors. Oil price risk is shown to be a factor as important as contagion. In addition, oil price fluctuations amplify contagion in the context of regional markets strongly interlinked with the USA.

Suggested Citation

  • Khaled Guesmi & Ilyes Abid & Anna Creti & Julien Chevallier, 2018. "Oil Price Risk and Financial Contagion," The Energy Journal, , vol. 39(2_suppl), pages 97-116, December.
    • Handle: RePEc:sae:enejou:v:39:y:2018:i:2_suppl:p:97-116
    DOI: 10.5547/01956574.39.SI2.kgue
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    References listed on IDEAS

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    1. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2003. "Do financial variables help forecasting inflation and real activity in the euro area?," Journal of Monetary Economics, Elsevier, vol. 50(6), pages 1243-1255, September.
    2. Christiane Baumeister & Lutz Kilian, 2016. "Lower Oil Prices and the U.S. Economy: Is This Time Different?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(2 (Fall)), pages 287-357.
    3. Ramos, Sofia B. & Veiga, Helena, 2011. "Risk factors in oil and gas industry returns: International evidence," Energy Economics, Elsevier, vol. 33(3), pages 525-542, May.
    4. Domenico Giannone & Lucrezia Reichlin, 2006. "Does information help recovering structural shocks from past observations?," Journal of the European Economic Association, MIT Press, vol. 4(2-3), pages 455-465, 04-05.
    5. I-Hsuan Ethan Chiang & W. Keener Hughen & Jacob S. Sagi, 2015. "Estimating Oil Risk Factors Using Information from Equity and Derivatives Markets," Journal of Finance, American Finance Association, vol. 70(2), pages 769-804, April.
    6. Cochrane, John H, 1996. "A Cross-Sectional Test of an Investment-Based Asset Pricing Model," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 572-621, June.
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