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Stochastic seasonality in commodity prices: the case of US natural gas

Author

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  • Sheng-Hung Chen

    (National Kaohsiung University of Science and Technology)

  • Song-Zan Chiou-Wei

    (National Kaohsiung University of Science and Technology)

  • Zhen Zhu

    (University of Central Oklahoma
    C.H. Guernsey and Company)

Abstract

Many commodity prices exhibit seasonal patterns. Futures prices are based on assumptions about spot prices in many commodity futures pricing models, and existing theories of commodity forward and futures prices assume deterministic seasonality. Therefore, examining the seasonal behavior of spot price is an important first step in ascertaining the characteristics of futures or forward prices. Using the US natural gas price as an example, we find that seasonality in the gas spot price appears to be non-deterministic and non-stationary. In this paper, we also explain the sources of stochastic seasonality in the spot price. After we examine the stochastic nature of the seasonality in the fundamental variables including production, consumption, natural gas underground storage, and weather, we investigate the seasonal cointegration of the spot gas price and these fundamental variables. We find evidence supporting the hypothesis that the stochastic seasonality in the spot price is determined by the stochastic seasonality in the fundamental variables.

Suggested Citation

  • Sheng-Hung Chen & Song-Zan Chiou-Wei & Zhen Zhu, 2022. "Stochastic seasonality in commodity prices: the case of US natural gas," Empirical Economics, Springer, vol. 62(5), pages 2263-2284, May.
    • Handle: RePEc:spr:empeco:v:62:y:2022:i:5:d:10.1007_s00181-021-02094-4
    DOI: 10.1007/s00181-021-02094-4
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    1. Tomás del Barrio Castro & Paulo M. M. Rodrigues & A. M. Robert Taylor, 2019. "Temporal Aggregation of Seasonally Near‐Integrated Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 40(6), pages 872-886, November.
    2. Franses, Philip Hans, 1991. "Seasonality, non-stationarity and the forecasting of monthly time series," International Journal of Forecasting, Elsevier, vol. 7(2), pages 199-208, August.
    3. Nahid Movassagh & Bagher Modjtahedi, 2005. "Bias and backwardation in natural gas futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 25(3), pages 281-308, March.
    4. Smith, Richard J. & Taylor, A.M. Robert & del Barrio Castro, Tomas, 2009. "Regression-Based Seasonal Unit Root Tests," Econometric Theory, Cambridge University Press, vol. 25(2), pages 527-560, April.
    5. Williams,Jeffrey C. & Wright,Brian D., 2005. "Storage and Commodity Markets," Cambridge Books, Cambridge University Press, number 9780521023399, October.
    6. Eduardo Schwartz & James E. Smith, 2000. "Short-Term Variations and Long-Term Dynamics in Commodity Prices," Management Science, INFORMS, vol. 46(7), pages 893-911, July.
    7. del Barrio Castro, Tomás & Rodrigues, Paulo M.M. & Robert Taylor, A.M., 2018. "Semi-Parametric Seasonal Unit Root Tests," Econometric Theory, Cambridge University Press, vol. 34(2), pages 447-476, April.
    8. Svetlana Borovkova & Helyette Geman, 2006. "Seasonal and stochastic effects in commodity forward curves," Review of Derivatives Research, Springer, vol. 9(2), pages 167-186, September.
    9. Joseph Beaulieu, J. & Miron, Jeffrey A., 1993. "Seasonal unit roots in aggregate U.S. data," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 305-328.
    10. Ohana, Steve, 2010. "Modeling global and local dependence in a pair of commodity forward curves with an application to the US natural gas and heating oil markets," Energy Economics, Elsevier, vol. 32(2), pages 373-388, March.
    11. Schwartz, Eduardo S, 1997. "The Stochastic Behavior of Commodity Prices: Implications for Valuation and Hedging," Journal of Finance, American Finance Association, vol. 52(3), pages 923-973, July.
    12. Back, Janis & Prokopczuk, Marcel & Rudolf, Markus, 2013. "Seasonality and the valuation of commodity options," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 273-290.
    13. Lien, Donald & Root, Thomas H., 1999. "Convergence to the long-run equilibrium: the case of natural gas markets," Energy Economics, Elsevier, vol. 21(2), pages 95-110, April.
    14. A. M. Robert Taylor, 1998. "Testing for Unit Roots in Monthly Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 19(3), pages 349-368, May.
    15. Chambers, Marcus J. & Ercolani, Joanne S. & Taylor, A.M. Robert, 2014. "Testing for seasonal unit roots by frequency domain regression," Journal of Econometrics, Elsevier, vol. 178(P2), pages 243-258.
    16. Root, Thomas H. & Lien, Donald, 2003. "Can modeling the natural gas futures market as a threshold cointegrated system improve hedging and forecasting performance?," International Review of Financial Analysis, Elsevier, vol. 12(2), pages 117-133.
    17. Fackler, Paul L. & Roberts, Matthew C., 1999. "A Term Structure Model For Agricultural Futures," 1999 Annual meeting, August 8-11, Nashville, TN 21543, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. 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.
    19. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
    20. Darne, Olivier, 2004. "Seasonal cointegration for monthly data," Economics Letters, Elsevier, vol. 82(3), pages 349-356, March.
    21. Hiroaki Suenaga & Aaron Smith & Jeffrey Williams, 2008. "Volatility dynamics of NYMEX natural gas futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(5), pages 438-463, May.
    22. Han, Liyan & Thury, Gerhard, 1997. "Testing for Seasonal Integration and Cointegration: The Austrian Consumption Income Relationship," Empirical Economics, Springer, vol. 22(3), pages 331-344.
    23. Canova, Fabio & Hansen, Bruce E, 1995. "Are Seasonal Patterns Constant over Time? A Test for Seasonal Stability," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 237-252, July.
    24. Modjtahedi, Bagher & Movassagh, Nahid, 2005. "Natural-gas futures: Bias, predictive performance, and the theory of storage," Energy Economics, Elsevier, vol. 27(4), pages 617-637, July.
    25. Andrés García Mirantes & Javier Población & Gregorio Serna, 2012. "The Stochastic Seasonal Behaviour of Natural Gas Prices," European Financial Management, European Financial Management Association, vol. 18(3), pages 410-443, June.
    26. Carsten Sørensen, 2002. "Modeling seasonality in agricultural commodity futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 22(5), pages 393-426, May.
    27. Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2004. "Asymptotic Distributions For Regression-Based Seasonal Unit Root Test Statistics In A Near-Integrated Model," Econometric Theory, Cambridge University Press, vol. 20(4), pages 645-670, August.
    28. Les Clewlow & Chris Strickland, 1999. "A Multi-Factor Model for Energy Derivatives," Research Paper Series 28, Quantitative Finance Research Centre, University of Technology, Sydney.
    29. Mihaela Manoliu & Stathis Tompaidis, 2002. "Energy futures prices: term structure models with Kalman filter estimation," Applied Mathematical Finance, Taylor & Francis Journals, vol. 9(1), pages 21-43.
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    3. Jinniao Qiu & Antony Ware & Yang Yang, 2024. "Stochastic Path-Dependent Volatility Models for Price-Storage Dynamics in Natural Gas Markets and Discrete-Time Swing Option Pricing," Papers 2406.16400, arXiv.org.

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