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Natural Gas markets:How Sensitive to Crude Oil Price Changes?

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  • Onour, Ibrahim

Abstract

This paper investigates sensitivity of U.S. natural gas price to 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 utilized in pricing natural gas derivatives such as gas futures and option contracts, and gas storage facility contracts.

Suggested Citation

  • Onour, Ibrahim, 2009. "Natural Gas markets:How Sensitive to Crude Oil Price Changes?," MPRA Paper 14937, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:14937
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    File URL: https://mpra.ub.uni-muenchen.de/14937/1/MPRA_paper_14937.pdf
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    References listed on IDEAS

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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. 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.
    3. Harvey, Campbell R. & Siddique, Akhtar, 1999. "Autoregressive Conditional Skewness," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(4), pages 465-487, December.
    4. 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.
    5. 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..
    6. 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.
    7. Robert W. Faff & David Hillier & Joseph Hillier, 2000. "Time Varying Beta Risk: An Analysis of Alternative Modelling Techniques," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 27(5‐6), pages 523-554, June.
    8. Sharpe, William F., 1967. "Portfolio Analysis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 2(2), pages 76-84, June.
    9. 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.
    10. Jun Yu, 2002. "Forecasting volatility in the New Zealand stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 12(3), pages 193-202.
    11. Frank Asche & Petter Osmundsen & Maria Sandsmark, 2006. "The UK Market for Natural Gas, Oil and Electricity: Are the Prices Decoupled?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 27-40.
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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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    More about this item

    Keywords

    Natural gas; Sensitivity; GARCH; Volatility; Skewness; Kurtosis;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

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