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Returns and volatility in the NYMEX Henry Hub natural gas futures market

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  • Apostolos Serletis
  • Asghar Shahmoradi
Abstract
In this paper we use autoregressive conditional heteroscedasticity‐type models to investigate the determinants of returns and volatility in the New York Mercantile Exchange Henry Hub natural gas futures contract market. Using daily data for the period that natural gas has been traded on the exchange, we find significant evidence of seasonal and open interest effects in both, returns and volatility.

Suggested Citation

  • Apostolos Serletis & Asghar Shahmoradi, 2006. "Returns and volatility in the NYMEX Henry Hub natural gas futures market," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 30(3), pages 171-186, September.
    • Handle: RePEc:bla:opecrv:v:30:y:2006:i:3:p:171-186
    DOI: 10.1111/j.1468-0076.2006.00167.x
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    1. Gerald D. Gay & Tae‐Hyuk Kim, 1987. "An investigation into seasonality in the futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 7(2), pages 169-181, April.
    2. Apostolos Serletis & Asghar Shahmoradi, 2007. "Futures Trading and the Storage of North American Natural Gas," World Scientific Book Chapters, in: Quantitative And Empirical Analysis Of Energy Markets, chapter 8, pages 82-87, World Scientific Publishing Co. Pte. Ltd..
    3. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    4. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    5. Christopher K. Ma & Jeffrey M. Mercer & Matthew A. Walker, 1992. "Rolling over futures contracts: A note," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 12(2), pages 203-217, April.
    6. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    7. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    8. Andrew J. Foster, 1995. "Volume‐volatility relationships for crude oil futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 15(8), pages 929-951, December.
    9. Nikolaos T. Milonas, 1986. "Price variability and the maturity effect in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 6(3), pages 443-460, September.
    10. Nikolaos T. Milonas, 1991. "Measuring seasonalities in commodity markets and the half‐month effect," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(3), pages 331-345, June.
    11. Richard Deaves & Itzhak Krinsky, 1992. "Risk Premiums and Efficiency in the Market for Crude Oil Futures," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 93-118.
    12. Day, Theodore E & Lewis, Craig M, 1997. "Initial Margin Policy and Stochastic Volatility in the Crude Oil Futures Market," The Review of Financial Studies, Society for Financial Studies, vol. 10(2), pages 303-332.
    13. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    14. Apostolos Serletis, 2007. "Is There an East-West Split in North American Natural Gas Markets?," World Scientific Book Chapters, in: Quantitative And Empirical Analysis Of Energy Markets, chapter 6, pages 59-72, World Scientific Publishing Co. Pte. Ltd..
    15. Mohammad Majand & Kenneth Yung, 1991. "A GARCH examination of the relationship between volume and price variability in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(5), pages 613-621, October.
    16. David Kenyon & Kenneth Kling & Jim Jordan & William Seale & Nancy McCabe, 1987. "Factors affecting agricultural futures price variance," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 7(1), pages 73-91, February.
    17. William M. Malick & Ronald W. Ward, 1987. "Stock effects and seasonality in the fcoj futures basis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 7(2), pages 157-167, April.
    18. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    Citations

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    Cited by:

    1. van Goor, Harm & Scholtens, Bert, 2014. "Modeling natural gas price volatility: The case of the UK gas market," Energy, Elsevier, vol. 72(C), pages 126-134.
    2. Sun, Mei & Wang, Yaqi & Gao, Cuixia, 2016. "Visibility graph network analysis of natural gas price: The case of North American market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 1-11.
    3. Li, Yan & Chevallier, Julien & Wei, Yigang & Li, Jing, 2020. "Identifying price bubbles in the US, European and Asian natural gas market: Evidence from a GSADF test approach," Energy Economics, Elsevier, vol. 87(C).
    4. repec:bla:opecrv:v:33:y:2009:i:2:p:111-124 is not listed on IDEAS
    5. Zuzanna Karolak, 2021. "Energy prices forecasting using nonlinear univariate models," Bank i Kredyt, Narodowy Bank Polski, vol. 52(6), pages 577-598.
    6. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2016. "The behaviour mechanism analysis of regional natural gas prices: A multi-scale perspective," Energy, Elsevier, vol. 101(C), pages 266-277.
    7. Ahmed, Walid M.A., 2018. "On the interdependence of natural gas and stock markets under structural breaks," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 149-161.
    8. Yadong Pei & Chiou-Jye Huang & Yamin Shen & Mingyue Wang, 2023. "A Novel Model for Spot Price Forecast of Natural Gas Based on Temporal Convolutional Network," Energies, MDPI, vol. 16(5), pages 1-15, February.
    9. Wang, Zuyi & Kim, Man-Keun, 2022. "Price bubbles in oil & gas markets and their transfer," Resources Policy, Elsevier, vol. 79(C).
    10. Naomi Boyd, 2015. "Market making and risk management in options markets," Review of Derivatives Research, Springer, vol. 18(1), pages 1-27, April.
    11. Liang, Chao & Xia, Zhenglan & Lai, Xiaodong & Wang, Lu, 2022. "Natural gas volatility prediction: Fresh evidence from extreme weather and extended GARCH-MIDAS-ES model," Energy Economics, Elsevier, vol. 116(C).

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    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • N70 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - General, International, or Comparative
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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