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Hurricane forecast revisions and petroleum refiner equity returns

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  • Fink, Jason D.
  • Fink, Kristin E.

Abstract

We test the return reaction of an index of petroleum refining firms to the official forecast revisions for major tropical storms in the refinery-dense region of the northwest Gulf of Mexico. First, we find that improvements in official hurricane forecasts over the last twenty years have had a direct effect on when asset prices react in anticipation of tropical storms. In the 1990s, traders react to forecasts at the 24-hour horizon. A decade later they react earlier — price movements in the 2000s react to forecast information at the 48-hour horizon. Second, we find that the effect of upward revisions in storm intensity is associated with increases in the returns to our index. These increases only accrue to large firms, perhaps due to these firms' ability to utilize geographic diversification and previously idle capacity to take advantage of storm-induced increases in refined petroleum prices.

Suggested Citation

  • Fink, Jason D. & Fink, Kristin E., 2013. "Hurricane forecast revisions and petroleum refiner equity returns," Energy Economics, Elsevier, vol. 38(C), pages 1-11.
  • Handle: RePEc:eee:eneeco:v:38:y:2013:i:c:p:1-11
    DOI: 10.1016/j.eneco.2013.02.005
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    as
    1. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. Stephen P. A. Brown & Mine K. Yucel, 2008. "What Drives Natural Gas Prices?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 45-60.
    3. repec:dau:papers:123456789/3187 is not listed on IDEAS
    4. Marie-Aude Laguna & Gunther Capelle-Blancard, 2010. "How does the stock market respond to petrochemical disasters?," Post-Print halshs-00696984, HAL.
    5. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    6. Wang, Ko & Li, Yuming & Erickson, John, 1997. "A New Look at the Monday Effect," Journal of Finance, American Finance Association, vol. 52(5), pages 2171-2186, December.
    7. Esther Eiling, 2013. "Industry-Specific Human Capital, Idiosyncratic Risk, and the Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 68(1), pages 43-84, February.
    8. Peter R. Hartley & Kenneth B Medlock III & Jennifer E. Rosthal, 2008. "The Relationship of Natural Gas to Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 47-66.
    9. Andrew Worthington & Abbas Valadkhani, 2004. "Measuring the impact of natural disasters on capital markets: an empirical application using intervention analysis," Applied Economics, Taylor & Francis Journals, vol. 36(19), pages 2177-2186.
    10. Elton, Edwin J, et al, 1993. "Efficiency with Costly Information: A Reinterpretation of Evidence from Managed Portfolios," The Review of Financial Studies, Society for Financial Studies, vol. 6(1), pages 1-22.
    11. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    12. Fink, Jason D. & Fink, Kristin E. & Russell, Allison, 2010. "When and how do tropical storms affect markets? The case of refined petroleum," Energy Economics, Elsevier, vol. 32(6), pages 1283-1290, November.
    13. Jeffrey Jaffe & R. Westerfield, "undated". "The Week-End Effect in Common Stock Returns: The International Evidence," Rodney L. White Center for Financial Research Working Papers 3-85, Wharton School Rodney L. White Center for Financial Research.
    14. Jaffe, Jeffrey F & Westerfield, Randolph, 1985. "The Week-End Effect in Common Stock Returns: The International Evidence," Journal of Finance, American Finance Association, vol. 40(2), pages 433-454, June.
    15. Lance J. Bachmeier & James M. Griffin, 2003. "New Evidence on Asymmetric Gasoline Price Responses," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 772-776, August.
    16. Benjamin M. Blau & Robert A. Van Ness & Chip Wade, 2008. "Capitalizing on Catastrophe: Short Selling Insurance Stocks Around Hurricanes Katrina and Rita," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(4), pages 967-996, December.
    17. Severin Borenstein & A. Colin Cameron & Richard Gilbert, 1997. "Do Gasoline Prices Respond Asymmetrically to Crude Oil Price Changes?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 305-339.
    18. Lakonishok, Josef & Levi, Maurice, 1982. "Weekend Effects on Stock Returns: A Note," Journal of Finance, American Finance Association, vol. 37(3), pages 883-889, June.
    19. Chen, Li-Hsueh & Finney, Miles & Lai, Kon S., 2005. "A threshold cointegration analysis of asymmetric price transmission from crude oil to gasoline prices," Economics Letters, Elsevier, vol. 89(2), pages 233-239, November.
    20. Jeffrey Jaffe & R. Westerfield, "undated". "The Week-End Effect in Common Stock Returns: The International Evidence," Rodney L. White Center for Financial Research Working Papers 03-85, Wharton School Rodney L. White Center for Financial Research.
    21. Carter, David A. & Simkins, Betty J., 2004. "The market's reaction to unexpected, catastrophic events: the case of airline stock returns and the September 11th attacks," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(4), pages 539-558, September.
    22. Matthew Lewis & Michael Noel, 2011. "The Speed of Gasoline Price Response in Markets with and without Edgeworth Cycles," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 672-682, May.
    23. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    24. Capelle-Blancard, Gunther & Laguna, Marie-Aude, 2010. "How does the stock market respond to chemical disasters?," Journal of Environmental Economics and Management, Elsevier, vol. 59(2), pages 192-205, March.
    25. Benjamin M. Blau & Bonnie F. Van Ness & Robert A. Van Ness, 2009. "Short Selling and the Weekend Effect for NYSE Securities," Financial Management, Financial Management Association International, vol. 38(3), pages 603-630, September.
    26. Roger M. Shelor & Dwight C. Anderson & Mark L. Cross, 1990. "The Impact of the California Earthquake on Real Estate Firms' Stock Value," Journal of Real Estate Research, American Real Estate Society, vol. 5(3), pages 335-340.
    27. Dimson, Elroy, 1979. "Risk measurement when shares are subject to infrequent trading," Journal of Financial Economics, Elsevier, vol. 7(2), pages 197-226, June.
    28. Gibbons, Michael R & Hess, Patrick, 1981. "Day of the Week Effects and Asset Returns," The Journal of Business, University of Chicago Press, vol. 54(4), pages 579-596, October.
    29. Michael D. Noel, 2011. "Edgeworth price cycles," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    30. Barrett, W Brian & Heuson, Andrea J & Kolb, Robert W, 1986. "The Effect of Three Mile Island on Utility Bond Risk Premia: A Note," Journal of Finance, American Finance Association, vol. 41(1), pages 255-261, March.
    31. Cummins, J David & Lewis, Christopher M, 2003. "Catastrophic Events, Parameter Uncertainty and the Breakdown of Implicit Long-Term Contracting: The Case of Terrorism Insurance," Journal of Risk and Uncertainty, Springer, vol. 26(2-3), pages 153-178, March-May.
    32. Geoffrey S. Rothwell, 1989. "Stock Market Reaction To Nuclear Reactor Failures," Contemporary Economic Policy, Western Economic Association International, vol. 7(3), pages 96-106, July.
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    Cited by:

    1. Ihtisham A. Malik & Robert Faff, 2022. "Industry market reaction to natural disasters: do firm characteristics and disaster magnitude matter?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(3), pages 2963-2994, April.
    2. Indranil Ghosh & Manas K. Sanyal & R. K. Jana, 2021. "Co-movement and Dynamic Correlation of Financial and Energy Markets: An Integrated Framework of Nonlinear Dynamics, Wavelet Analysis and DCC-GARCH," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 503-527, February.
    3. Ihtisham A. Malik & Robert W. Faff & Kam F. Chan, 2020. "Market response of US equities to domestic natural disasters: industry‐based evidence," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 3875-3904, December.
    4. Lopatta, Kerstin & Kaspereit, Thomas, 2014. "The cross-section of returns, benchmark model parameters, and idiosyncratic volatility of nuclear energy firms after Fukushima Daiichi," Energy Economics, Elsevier, vol. 41(C), pages 125-136.

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    More about this item

    Keywords

    Petroleum refiners; Hurricane forecasts; Asset pricing; Tropical storms;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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