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The behaviour mechanism analysis of regional natural gas prices: A multi-scale perspective

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  • Geng, Jiang-Bo
  • Ji, Qiang
  • Fan, Ying

Abstract

This paper analyses the behaviour mechanisms of natural gas prices in North American, Asian and European markets from a multi-scale perspective using the Ensemble Empirical Mode Decomposition and the cross-correlation method. The analytical framework directly measures contributions of the multi-scale components to natural gas price fluctuations and further investigates the dynamic relationships between influential factors (such as crude oil prices, weather and natural gas inventories) and each of multi-scale components of regional natural gas prices. The results show: (1) Emergency events and the short-term disequilibrium between market supply and demand have significant impacts on natural gas prices in North America, while in Japan and Europe, trend terms play a leading role in natural gas price fluctuations. (2) Unlike other markets, the North American natural gas market and the international crude oil market have significant interaction mechanisms. Temperature changes in the winter, rather than in the summer, can cause Henry Hub spot prices to fluctuate. (3) Oil prices play the leading role in affecting Asian and European natural gas prices, having advance effects of one to three months and one to six months, respectively.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:101:y:2016:i:c:p:266-277
    DOI: 10.1016/j.energy.2016.02.045
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    1. Ji, Qiang & Geng, Jiang-Bo & Fan, Ying, 2014. "Separated influence of crude oil prices on regional natural gas import prices," Energy Policy, Elsevier, vol. 70(C), pages 96-105.
    2. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2014. "A dynamic analysis on global natural gas trade network," Applied Energy, Elsevier, vol. 132(C), pages 23-33.
    3. repec:aen:journl:2008v29-03-a03 is not listed on IDEAS
    4. Herbert, John H, 1995. "Trading volume, maturity and natural gas futures price volatility," Energy Economics, Elsevier, vol. 17(4), pages 293-299, October.
    5. 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.
    6. Zhang, Xun & Lai, K.K. & Wang, Shou-Yang, 2008. "A new approach for crude oil price analysis based on Empirical Mode Decomposition," Energy Economics, Elsevier, vol. 30(3), pages 905-918, May.
    7. Derek A.T. Cummings & Rafael A. Irizarry & Norden E. Huang & Timothy P. Endy & Ananda Nisalak & Kumnuan Ungchusak & Donald S. Burke, 2004. "Travelling waves in the occurrence of dengue haemorrhagic fever in Thailand," Nature, Nature, vol. 427(6972), pages 344-347, January.
    8. Péter Erdős & Mihály Ormos, 2012. "Natural Gas Prices on Three Continents," Energies, MDPI, vol. 5(10), pages 1-17, October.
    9. Zhang, Xun & Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2009. "Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method," Energy Economics, Elsevier, vol. 31(5), pages 768-778, September.
    10. repec:aen:journl:2008v29-02-a03 is not listed on IDEAS
    11. 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..
    12. Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2008. "Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm," Energy Economics, Elsevier, vol. 30(5), pages 2623-2635, September.
    13. Finn E. Kydland & Edward C. Prescott, 1990. "Business cycles: real facts and a monetary myth," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 14(Spr), pages 3-18.
    14. Nick, Sebastian & Thoenes, Stefan, 2014. "What drives natural gas prices? — A structural VAR approach," Energy Economics, Elsevier, vol. 45(C), pages 517-527.
    15. Oladosu, Gbadebo, 2009. "Identifying the oil price-macroeconomy relationship: An empirical mode decomposition analysis of US data," Energy Policy, Elsevier, vol. 37(12), pages 5417-5426, December.
    16. 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.
    17. Arora, Vipin & Lieskovsky, Jozef, 2012. "Natural Gas and U.S. Economic Activity," MPRA Paper 42659, University Library of Munich, Germany.
    18. Chiou-Wei, Song-Zan & Linn, Scott C. & Zhu, Zhen, 2014. "The response of U.S. natural gas futures and spot prices to storage change surprises: Fundamental information and the effect of escalating physical gas production," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 156-173.
    19. Mu, Xiaoyi, 2007. "Weather, storage, and natural gas price dynamics: Fundamentals and volatility," Energy Economics, Elsevier, vol. 29(1), pages 46-63, January.
    20. Chevallier, Julien & Sévi, Benoît, 2012. "On the volatility–volume relationship in energy futures markets using intraday data," Energy Economics, Elsevier, vol. 34(6), pages 1896-1909.
    21. Scott C. Linn & Zhen Zhu, 2004. "Natural gas prices and the gas storage report: Public news and volatility in energy futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(3), pages 283-313, March.
    22. repec:dau:papers:123456789/6887 is not listed on IDEAS
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