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Jumps in Oil Prices- Evidence and Implications

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  • Marc Gronwald

Abstract

This paper studies the dynamic behavior of daily oil prices and finds strong evidence of GARCH as well as conditional jump behavior. This implies that conditional heteroscedasticity is present and the empirical distribution of oil price changes has heavy tails. Thus, the oil price considerably sensitive to news and does not settle around a long-run trend. This finding has several important implications: First, this financial market variable-type behaviour hampers finding optimal depletion paths of oil as exhaustible resource as well as optimal decisions regarding the transmission to alternative technologies. Second, as the usage of oil is one of the main sources of carbon emissions, this non-existence of a clear long-run trend is likely to cause a current overextraction of oil, accompanied by severe consequences for the global climate.

Suggested Citation

  • Marc Gronwald, 2009. "Jumps in Oil Prices- Evidence and Implications," ifo Working Paper Series 75, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    • Handle: RePEc:ces:ifowps:_75
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    References listed on IDEAS

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    1. Chan, Wing H., 2004. "Conditional correlated jump dynamics in foreign exchange," Economics Letters, Elsevier, vol. 83(1), pages 23-28, April.
    2. Donald Lien & Y. K. Tse & Albert Tsui, 2002. "Evaluating the hedging performance of the constant-correlation GARCH model," Applied Financial Economics, Taylor & Francis Journals, vol. 12(11), pages 791-798.
    3. Slade, Margaret E., 1988. "Grade selection under uncertainty: Least cost last and other anomalies," Journal of Environmental Economics and Management, Elsevier, vol. 15(2), pages 189-205, June.
    4. Granger, Clive W. J. & Hyung, Namwon, 2004. "Occasional structural breaks and long memory with an application to the S&P 500 absolute stock returns," Journal of Empirical Finance, Elsevier, vol. 11(3), pages 399-421, June.
    5. Dées, Stéphane & Gasteuil, Audrey & Kaufmann, Robert K. & Mann, Michael, 2008. "Assessing the factors behind oil price changes," Working Paper Series 855, European Central Bank.
    6. Dees, Stephane & Karadeloglou, Pavlos & Kaufmann, Robert K. & Sanchez, Marcelo, 2007. "Modelling the world oil market: Assessment of a quarterly econometric model," Energy Policy, Elsevier, vol. 35(1), pages 178-191, January.
    7. Krautkraemer, Jeffrey A. & Toman, Michael, 2003. "Fundamental Economics of Depletable Energy Supply," Discussion Papers 10842, Resources for the Future.
    8. Chan, Wing H & Maheu, John M, 2002. "Conditional Jump Dynamics in Stock Market Returns," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 377-389, July.
    9. Finn, Mary G, 2000. "Perfect Competition and the Effects of Energy Price Increases on Economic Activity," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(3), pages 400-416, August.
    10. James D. Hamilton, 2009. "Understanding Crude Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 179-206.
    11. Agnolucci, Paolo, 2009. "Volatility in crude oil futures: A comparison of the predictive ability of GARCH and implied volatility models," Energy Economics, Elsevier, vol. 31(2), pages 316-321, March.
    12. Ben S. Bernanke, 1983. "Irreversibility, Uncertainty, and Cyclical Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 98(1), pages 85-106.
    13. Kiseok Lee & Shawn Ni & Ronald A. Ratti, 1995. "Oil Shocks and the Macroeconomy: The Role of Price Variability," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 39-56.
    14. Hans-Werner Sinn, 2008. "Public policies against global warming: a supply side approach," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 15(4), pages 360-394, August.
    15. Pindyck, Robert S, 1981. " The Optimal Production of an Exhaustible Resource When Price is Exogenous and Stochastic," Scandinavian Journal of Economics, Wiley Blackwell, vol. 83(2), pages 277-288.
    16. Eyal Dvir & Kenneth S. Rogoff, 2009. "Three Epochs of Oil," NBER Working Papers 14927, National Bureau of Economic Research, Inc.
    17. André Grimaud & Luc Rouge, 2008. "Environment, Directed Technical Change and Economic Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 41(4), pages 439-463, December.
    18. Marc Gronwald, 2008. "Large Oil Shocks and the US Economy: Infrequent Incidents with Large Effects," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 151-172.
    19. Saeed Moshiri & Faezeh Foroutan, 2006. "Forecasting Nonlinear Crude Oil Futures Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 81-96.
    20. Harold Hotelling, 1931. "The Economics of Exhaustible Resources," Journal of Political Economy, University of Chicago Press, vol. 39(2), pages 137-137.
    21. Wing H. Chan, 2003. "A correlated bivariate Poisson jump model for foreign exchange," Empirical Economics, Springer, vol. 28(4), pages 669-685, November.
    22. Malcolm P. Baker & E. Scott Mayfield & John E. Parsons, 1998. "Alternative Models of Uncertain Commodity Prices for Use with Modern Asset Pricing Methods," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 115-148.
    23. Krichene, Noureddine, 2002. "World crude oil and natural gas: a demand and supply model," Energy Economics, Elsevier, vol. 24(6), pages 557-576, November.
    24. Lee, Junsoo & List, John A. & Strazicich, Mark C., 2006. "Non-renewable resource prices: Deterministic or stochastic trends?," Journal of Environmental Economics and Management, Elsevier, vol. 51(3), pages 354-370, May.
    25. Hoel, Michael & Kverndokk, Snorre, 1996. "Depletion of fossil fuels and the impacts of global warming," Resource and Energy Economics, Elsevier, vol. 18(2), pages 115-136, June.
    26. Slade, Margaret E., 1982. "Trends in natural-resource commodity prices: An analysis of the time domain," Journal of Environmental Economics and Management, Elsevier, vol. 9(2), pages 122-137, June.
    27. Stephen P. Holland, 2008. "Modeling Peak Oil," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 61-80.
    28. Kaufmann, Robert K. & Ullman, Ben, 2009. "Oil prices, speculation, and fundamentals: Interpreting causal relations among spot and futures prices," Energy Economics, Elsevier, vol. 31(4), pages 550-558, July.
    29. Wing H. Chan & Denise Young, 2006. "Jumping hedges: An examination of movements in copper spot and futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(2), pages 169-188, February.
    30. Withagen, Cees, 1994. "Pollution and exhaustibility of fossil fuels," Resource and Energy Economics, Elsevier, vol. 16(3), pages 235-242, August.
    31. Morana, Claudio, 2001. "A semiparametric approach to short-term oil price forecasting," Energy Economics, Elsevier, vol. 23(3), pages 325-338, May.
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    2. Babajide Fowowe, 2014. "Paper oil and physical oil: has speculative pressure in oil futures increased volatility in spot oil prices?," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 38(3), pages 356-372, September.

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q30 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - General

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