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Modelling futures price volatility in energy markets: Is there a role for financial speculation?

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  • Manera, Matteo
  • Nicolini, Marcella
  • Vignati, Ilaria

Abstract

This paper models volatility in four energy futures markets, adopting GARCH models. The variance equation is enriched with alternative measures of speculation, based on CFTC data: the market share of non-commercial traders, the Working's T index, and the percentage of net long positions of non-commercials over total open interest in future markets. It also includes a control for market liquidity. We consider four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) over the period 2000–2014, analysed at weekly frequency. We find that speculation presents a negative and significant sign. The robustness exercise shows that: i) results remain unchanged through different model specifications (GARCH-in-mean, EGARCH, and TARCH); ii) results are robust to different specifications of the mean and variance equation.

Suggested Citation

  • Manera, Matteo & Nicolini, Marcella & Vignati, Ilaria, 2016. "Modelling futures price volatility in energy markets: Is there a role for financial speculation?," Energy Economics, Elsevier, vol. 53(C), pages 220-229.
    • Handle: RePEc:eee:eneeco:v:53:y:2016:i:c:p:220-229
    DOI: 10.1016/j.eneco.2014.07.001
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    as
    1. Ron Alquist and Olivier Gervais, 2013. "The Role of Financial Speculation in Driving the Price of Crude Oil," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    2. Robles, Miguel & Torero, Maximo & von Braun, Joachim, 2009. "When speculation matters:," Issue briefs 57, International Food Policy Research Institute (IFPRI).
    3. Büyükşahin, Bahattin & Robe, Michel A., 2014. "Speculators, commodities and cross-market linkages," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 38-70.
    4. Hart, Oliver D & Kreps, David M, 1986. "Price Destabilizing Speculation," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 927-952, October.
    5. repec:dau:papers:123456789/14980 is not listed on IDEAS
    6. Vo, Minh T., 2009. "Regime-switching stochastic volatility: Evidence from the crude oil market," Energy Economics, Elsevier, vol. 31(5), pages 779-788, September.
    7. Stein, Jeremy C, 1987. "Informational Externalities and Welfare-Reducing Speculation," Journal of Political Economy, University of Chicago Press, vol. 95(6), pages 1123-1145, December.
    8. Regnier, Eva, 2007. "Oil and energy price volatility," Energy Economics, Elsevier, vol. 29(3), pages 405-427, May.
    9. James D. Hamilton, 2009. "Understanding Crude Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 179-206.
    10. Hayo, Bernd & Kutan, Ali M. & Neuenkirch, Matthias, 2012. "Communication matters: US monetary policy and commodity price volatility," Economics Letters, Elsevier, vol. 117(1), pages 247-249.
    11. Creti, Anna & Joëts, Marc & Mignon, Valérie, 2013. "On the links between stock and commodity markets' volatility," Energy Economics, Elsevier, vol. 37(C), pages 16-28.
    12. Dwight R. Sanders and Scott H. Irwin, 2013. "Measuring Index Investment in Commodity Futures Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    13. Louis Ederington & Jae Ha Lee, 2002. "Who Trades Futures and How: Evidence from the Heating Oil Futures Market," The Journal of Business, University of Chicago Press, vol. 75(2), pages 353-374, April.
    14. Powers, Mark J, 1970. "Does Futures Trading Reduce Price Fluctuations in the Cash Markets?," American Economic Review, American Economic Association, vol. 60(3), pages 460-464, June.
    15. Dwight R. Sanders & Scott H. Irwin & Robert P. Merrin, 2010. "The Adequacy of Speculation in Agricultural Futures Markets: Too Much of a Good Thing?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 32(1), pages 77-94.
    16. Chevallier, Julien, 2009. "Carbon futures and macroeconomic risk factors: A view from the EU ETS," Energy Economics, Elsevier, vol. 31(4), pages 614-625, July.
    17. Bahattin Buyuksahin & Jeffrey H. Harris, 2011. "Do Speculators Drive Crude Oil Futures Prices?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 167-202.
    18. Robert S. Pindyck, 2004. "Volatility and commodity price dynamics," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(11), pages 1029-1047, November.
    19. James L. Smith, 2009. "World Oil: Market or Mayhem?," Journal of Economic Perspectives, American Economic Association, vol. 23(3), pages 145-164, Summer.
    20. Nicole M. Aulerich & Scott H. Irwin & Philip Garcia, 2014. "Bubbles, Food Prices, and Speculation: Evidence from the CFTC's Daily Large Trader Data Files," NBER Chapters, in: The Economics of Food Price Volatility, pages 211-253, National Bureau of Economic Research, Inc.
    21. Michael Dewally & Louis H. Ederington & Chitru S. Fernando, 2013. "Determinants of Trader Profits in Commodity Futures Markets," Review of Financial Studies, Society for Financial Studies, vol. 26(10), pages 2648-2683.
    22. Raymond M. Leuthold, 1983. "Commercial use and speculative measures of the livestock commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 3(2), pages 113-135, June.
    23. Heather Mitchell & Michael Mckenzie, 2003. "GARCH model selection criteria," Quantitative Finance, Taylor & Francis Journals, vol. 3(4), pages 262-284.
    24. Chris Brooks & Simon Burke, 2003. "Information criteria for GARCH model selection," The European Journal of Finance, Taylor & Francis Journals, vol. 9(6), pages 557-580.
    25. Frans A. De Roon & Theo E. Nijman & Chris Veld, 2000. "Hedging Pressure Effects in Futures Markets," Journal of Finance, American Finance Association, vol. 55(3), pages 1437-1456, June.
    26. Machiko Nissanke, 2012. "Commodity Market Linkages in the Global Financial Crisis: Excess Volatility and Development Impacts," Journal of Development Studies, Taylor & Francis Journals, vol. 48(6), pages 732-750, June.
    27. Bruce A. Babcock, 2012. "The impact of US biofuel policies on agricultural price levels and volatility," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 4(4), pages 407-426, November.
    28. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    29. Sanders, Dwight R. & Boris, Keith & Manfredo, Mark, 2004. "Hedgers, funds, and small speculators in the energy futures markets: an analysis of the CFTC's Commitments of Traders reports," Energy Economics, Elsevier, vol. 26(3), pages 425-445, May.
    30. repec:dau:papers:123456789/4210 is not listed on IDEAS
    31. Du, Xiaodong & Yu, Cindy L. & Hayes, Dermot J., 2011. "Speculation and volatility spillover in the crude oil and agricultural commodity markets: A Bayesian analysis," Energy Economics, Elsevier, vol. 33(3), pages 497-503, May.
    32. Cox, Charles C, 1976. "Futures Trading and Market Information," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1215-1237, December.
    33. Irwin, Scott H. & Sanders, Dwight R., 2012. "Testing the Masters Hypothesis in commodity futures markets," Energy Economics, Elsevier, vol. 34(1), pages 256-269.
    34. Mohsin S. Khan, 2009. "The 2008 Oil Price "Bubble"," Policy Briefs PB09-19, Peterson Institute for International Economics.
    35. Narayan, Paresh Kumar & Narayan, Seema, 2007. "Modelling oil price volatility," Energy Policy, Elsevier, vol. 35(12), pages 6549-6553, December.
    36. Markus K. Brunnermeier & Stefan Nagel & Lasse H. Pedersen, 2009. "Carry Trades and Currency Crashes," NBER Chapters, in: NBER Macroeconomics Annual 2008, Volume 23, pages 313-347, National Bureau of Economic Research, Inc.
    37. Working, Holbrook, 1960. "Speculation on Hedging Markets," Food Research Institute Studies, Stanford University, Food Research Institute, vol. 1(2), pages 1-36.
    38. Matteo Manera, Marcella Nicolini, and Ilaria Vignati, 2013. "Financial Speculation in Energy and Agriculture Futures Markets: A Multivariate GARCH Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    39. Hughes, Anthony W. & King, Maxwell L. & Kwek, Kian Teng, 2004. "Selecting the order of an ARCH model," Economics Letters, Elsevier, vol. 83(2), pages 269-275, May.
    40. Sadorsky, Perry, 2006. "Modeling and forecasting petroleum futures volatility," Energy Economics, Elsevier, vol. 28(4), pages 467-488, July.
    41. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
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    More about this item

    Keywords

    Commodities futures markets; Speculation; Working's T; GARCH models;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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