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Natural gas markets: how sensitive are they to crude oil price changes?

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  • Ibrahim A. Onour

Abstract

This paper investigates sensitivity of US natural gas price with crude oil price changes, using time-varying coefficient models. Identification of the range of variation of the sensitivity of natural gas price to oil price change allows more accurate assessment of upper and minimum risk levels that can be utilised in pricing natural gas derivatives such as gas futures and option contracts, and gas storage facility contracts. Copyright 2009 The Author. Journal compilation 2009 Organization of the Petroleum Exporting Countries.

Suggested Citation

  • Ibrahim A. Onour, 2009. "Natural gas markets: how sensitive are they to crude oil price changes?," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 33(2), pages 111-124, June.
  • Handle: RePEc:bla:opecrv:v:33:y:2009:i:2:p:111-124
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    1. Vahid, F & Engle, Robert F, 1993. "Common Trends and Common Cycles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(4), pages 341-360, Oct.-Dec..
    2. Apostolos Serletis & Ricardo Rangel-Ruiz, 2007. "Testing for Common Features in North American Energy Markets," World Scientific Book Chapters, in: Quantitative And Empirical Analysis Of Energy Markets, chapter 14, pages 172-187, World Scientific Publishing Co. Pte. Ltd..
    3. Andrew J. Patton, 2004. "On the Out-of-Sample Importance of Skewness and Asymmetric Dependence for Asset Allocation," Journal of Financial Econometrics, Oxford University Press, vol. 2(1), pages 130-168.
    4. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    5. Engle, Robert F & Kozicki, Sharon, 1993. "Testing for Common Features," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(4), pages 369-380, October.
    6. Engle, Robert F & Kozicki, Sharon, 1993. "Testing for Common Features: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(4), pages 393-395, October.
    7. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    8. Hansen, Bruce E, 1994. "Autoregressive Conditional Density Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(3), pages 705-730, August.
    9. Apostolos Serletis & Asghar Shahmoradi, 2007. "Returns and Volatility in the NYMEX Henry Hub Natural Gas Futures Market," World Scientific Book Chapters, in: Quantitative And Empirical Analysis Of Energy Markets, chapter 15, pages 193-204, World Scientific Publishing Co. Pte. Ltd..
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    Cited by:

    1. Zolotko, Mikhail & Okhrin, Ostap, 2014. "Modelling the general dependence between commodity forward curves," Energy Economics, Elsevier, vol. 43(C), pages 284-296.
    2. Subhani, Muhammad Imtiaz & Hasan, Syed Akif & Osman, Ms. Amber, 2012. "Are the Prices of Light Diesel Oil, Gasoline, CNG and Kerosene Oil Co-Integrated?," MPRA Paper 45142, University Library of Munich, Germany.
    3. Cornille, David & Meyler, Aidan, 2010. "The behaviour of consumer gas prices in an environment of high and volatile oil prices," MPRA Paper 39099, University Library of Munich, Germany.
    4. Gatfaoui, Hayette, 2016. "Linking the gas and oil markets with the stock market: Investigating the U.S. relationship," Energy Economics, Elsevier, vol. 53(C), pages 5-16.
    5. Zied Ftiti & Kais Tissaoui & Sahbi Boubaker, 2022. "On the relationship between oil and gas markets: a new forecasting framework based on a machine learning approach," Annals of Operations Research, Springer, vol. 313(2), pages 915-943, June.

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