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The Informational Efficiency of European Natural Gas Hubs: Price Formation and Intertemporal Arbitrage

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  • Sebastian Nick

Abstract

In this study, the informational efficiency of the European natural gas market is analyzed by empirically investigating price formation and arbitrage efficiency between spot and futures markets. Econometric approaches accounting for nonlinearities induced by the low liquidity-framework and by technical constraints of the considered gas hubs are specified. The empirical results reveal that price discovery generally takes place on the futures market. Thus, the futures market seems to be more informationally efficient than the spot market. The theory of storage seems to hold at all hubs in the long run. There is empirical evidence of significant market frictions hampering intertemporal arbitrage. UK's NBP and Austria's CEGH seem to be the hubs at which arbitrage opportunities are exhausted most efficiently, although there is convergence in the degree of intertemporal arbitrage efficiency over time at the hubs investigated.

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  • Sebastian Nick, 2016. "The Informational Efficiency of European Natural Gas Hubs: Price Formation and Intertemporal Arbitrage," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    • Handle: RePEc:aen:journl:ej37-2-nick
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    1. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2008. "Liquidity and market efficiency," Journal of Financial Economics, Elsevier, vol. 87(2), pages 249-268, February.
    2. Eugene F. Fama & Kenneth R. French, 2015. "Commodity Futures Prices: Some Evidence on Forecast Power, Premiums, and the Theory of Storage," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 4, pages 79-102, World Scientific Publishing Co. Pte. Ltd..
    3. Balke, Nathan S & Fomby, Thomas B, 1997. "Threshold Cointegration," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(3), pages 627-645, August.
    4. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    5. Stelios Bekiros, 2011. "Nonlinear causality testing with stepwise multivariate filtering," Economics Working Papers ECO2011/22, European University Institute.
    6. Diks Cees & Panchenko Valentyn, 2005. "A Note on the Hiemstra-Jones Test for Granger Non-causality," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(2), pages 1-9, June.
    7. Arouri, Mohamed El Hedi & Hammoudeh, Shawkat & Lahiani, Amine & Nguyen, Duc Khuong, 2013. "On the short- and long-run efficiency of energy and precious metal markets," Energy Economics, Elsevier, vol. 40(C), pages 832-844.
    8. Helmut Lütkepohl, 2005. "New Introduction to Multiple Time Series Analysis," Springer Books, Springer, number 978-3-540-27752-1, June.
    9. Asche, Frank & Misund, Bård & Sikveland, Marius, 2013. "The relationship between spot and contract gas prices in Europe," Energy Economics, Elsevier, vol. 38(C), pages 212-217.
    10. Enders, Walter & Siklos, Pierre L, 2001. "Cointegration and Threshold Adjustment," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 166-176, April.
    11. Growitsch Christian & Nepal Rabindra & Stronzik Marcus, 2015. "Price Convergence and Information Efficiency in German Natural Gas Markets," German Economic Review, De Gruyter, vol. 16(1), pages 87-103, February.
    12. 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.
    13. Param Silvapulle & Imad A. Moosa, 1999. "The relationship between spot and futures prices: Evidence from the crude oil market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(2), pages 175-193, April.
    14. Jinghong Shu & Jin E. Zhang, 2012. "Causality in the VIX futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(1), pages 24-46, January.
    15. Bekiros, Stelios D. & Diks, Cees G.H., 2008. "The relationship between crude oil spot and futures prices: Cointegration, linear and nonlinear causality," Energy Economics, Elsevier, vol. 30(5), pages 2673-2685, September.
    16. Anne Neumann & Boriss Siliverstovs & Christian von Hirschhausen, 2006. "Convergence of European spot market prices for natural gas? A real-time analysis of market integration using the Kalman Filter," Applied Economics Letters, Taylor & Francis Journals, vol. 13(11), pages 727-732.
    17. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    18. Granger, C W J & Lee, T H, 1989. "Investigation of Production, Sales and Inventory Relationships Using Multicointegration and Non-symmetric Error Correction Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(S), pages 145-159, Supplemen.
    19. Dergiades, Theologos & Madlener, Reinhard & Christofidou, Georgia, 2018. "The nexus between natural gas spot and futures prices at NYMEX: Do weather shocks and non-linear causality in low frequencies matter?," The Journal of Economic Asymmetries, Elsevier, vol. 18(C), pages 1-1.
    20. Diks, Cees & Panchenko, Valentyn, 2006. "A new statistic and practical guidelines for nonparametric Granger causality testing," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
    21. Stronzik, Marcus & Rammerstorfer, Margarethe & Neumann, Anne, 2009. "Does the European natural gas market pass the competitive benchmark of the theory of storage? Indirect tests for three major trading points," Energy Policy, Elsevier, vol. 37(12), pages 5432-5439, December.
    22. Anderson, Heather M, 1997. "Transaction Costs and Non-linear Adjustment towards Equilibrium in the US Treasury Bill Market," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(4), pages 465-484, November.
    23. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    24. Keyaerts, Nico & D'haeseleer, William, 2012. "Increasing efficiency through market-based cross-border procurement of gas-balancing services in Europe," Energy, Elsevier, vol. 47(1), pages 564-576.
    25. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    26. Nick, Sebastian & Thoenes, Stefan, 2014. "What drives natural gas prices? — A structural VAR approach," Energy Economics, Elsevier, vol. 45(C), pages 517-527.
    27. Imad A. Moosa & Nabeel E. Al‐Loughani, 1995. "The effectiveness of arbitrage and speculation in the crude oil futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 15(2), pages 167-186, April.
    28. Timothy J. Considine & Donald F. Larson, 2001. "Risk premiums on inventory assets: the case of crude oil and natural gas," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(2), pages 109-126, February.
    29. Huang, Bwo-Nung & Yang, C.W. & Hwang, M.J., 2009. "The dynamics of a nonlinear relationship between crude oil spot and futures prices: A multivariate threshold regression approach," Energy Economics, Elsevier, vol. 31(1), pages 91-98, January.
    30. An-Sing Chen & James Wuh Lin, 2004. "Cointegration and detectable linear and nonlinear causality: analysis using the London Metal Exchange lead contract," Applied Economics, Taylor & Francis Journals, vol. 36(11), pages 1157-1167.
    31. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    32. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    33. Stern, Jonathan, 2014. "International gas pricing in Europe and Asia: A crisis of fundamentals," Energy Policy, Elsevier, vol. 64(C), pages 43-48.
    34. Thomas V. Schwarz & Andrew C. Szakmary, 1994. "Price discovery in petroleum markets: Arbitrage, cointegration, and the time interval of analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 14(2), pages 147-167, April.
    35. Ming-Yuan Leon Li, 2010. "Dynamic hedge ratio for stock index futures: application of threshold VECM," Applied Economics, Taylor & Francis Journals, vol. 42(11), pages 1403-1417.
    36. Gebre-Mariam, Yohannes Kebede, 2011. "Testing for unit roots, causality, cointegration, and efficiency: The case of the northwest US natural gas market," Energy, Elsevier, vol. 36(5), pages 3489-3500.
    37. Schultz, Emma & Swieringa, John, 2013. "Price discovery in European natural gas markets," Energy Policy, Elsevier, vol. 61(C), pages 628-634.
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    3. Saleh Mothana Obadi & Matej Korcek, 2020. "Driving Fundamentals of Natural Gas Price in Europe," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 318-324.

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