IDEAS home Printed from https://ideas.repec.org/p/cam/camdae/1253.html
   My bibliography  Save this paper

The effect of LNG on the rleationship between UK and Continental European natural gas markets

Author

Listed:
  • Koenig, P.

Abstract

The long-term relationship between the prices of natural gas in the United Kingdom and oil-indexed natural gas in the North West European market is the result of seasonal arbitrage. This paper empirically investigates this long-term relationship and offers two main contributions: (i) To the best knowledge of the author, this is the first study to take into ac- count important UK spot gas market drivers such as seasonality, temperature and gas storage injection/withdrawal behaviour when examining the structural relationship between UK and Continental European markets. (ii) The effect of UK import capacity extensions since 2005, through both pipeline and LNG regasification capacity, on this long-term relationship will be analyzed. The results suggest that there is a significant structural break in 2006 when the two markets decouple and move from an old to a new, much weaker, long-term relationship. From the end of 2008 onwards, the time at which UK LNG imports started to increase, this long-term relationship appears to break down altogether.

Suggested Citation

  • Koenig, P., 2012. "The effect of LNG on the rleationship between UK and Continental European natural gas markets," Cambridge Working Papers in Economics 1253, Faculty of Economics, University of Cambridge.
    • Handle: RePEc:cam:camdae:1253
    as

    Download full text from publisher

    File URL: http://www.econ.cam.ac.uk/research-files/repec/cam/pdf/cwpe1253.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lance J. Bachmeier & James M. Griffin, 2006. "Testing for Market Integration: Crude Oil, Coal, and Natural Gas," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 55-72.
    2. Harvey, Andrew & Scott, Andrew, 1994. "Seasonality in Dynamic Regression Models," Economic Journal, Royal Economic Society, vol. 104(427), pages 1324-1345, November.
    3. Wright, Philip, 2006. "Gas Prices in the UK: Markets and Insecurity of Supply," OUP Catalogue, Oxford University Press, number 9780199299652.
    4. [Reference to Proietti], Tommaso, 2000. "Comparing seasonal components for structural time series models," International Journal of Forecasting, Elsevier, vol. 16(2), pages 247-260.
    5. Peter R. Hartley & Kenneth B Medlock III & Jennifer E. Rosthal, 2008. "The Relationship of Natural Gas to Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 47-66.
    6. Apostolos Serletis & John Herbert, 2007. "The Message in North American Energy Prices," World Scientific Book Chapters, in: Quantitative And Empirical Analysis Of Energy Markets, chapter 13, pages 156-171, World Scientific Publishing Co. Pte. Ltd..
    7. Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
    8. 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.
    9. Anne Neumann, 2009. "Linking Natural Gas Markets - Is LNG Doing its Job?," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 187-200.
    10. David J. Ramberg and John E. Parsons, 2012. "The Weak Tie Between Natural Gas and Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    11. Siliverstovs, Boriss & L'Hegaret, Guillaume & Neumann, Anne & von Hirschhausen, Christian, 2005. "International market integration for natural gas? A cointegration analysis of prices in Europe, North America and Japan," Energy Economics, Elsevier, vol. 27(4), pages 603-615, July.
    12. 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.
    13. Mu, Xiaoyi, 2007. "Weather, storage, and natural gas price dynamics: Fundamentals and volatility," Energy Economics, Elsevier, vol. 29(1), pages 46-63, January.
    14. Panagiotidis, Theodore & Rutledge, Emilie, 2007. "Oil and gas markets in the UK: Evidence from a cointegrating approach," Energy Economics, Elsevier, vol. 29(2), pages 329-347, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Thomas Kremser & Margarethe Rammerstorfer, 2017. "Predictive Performance and Bias: Evidence from Natural Gas Markets," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 7(2), pages 1-26, June.
    2. Chi Kong Chyong, 2019. "European Natural Gas Markets: Taking Stock and Looking Forward," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(1), pages 89-109, August.
    3. Devlin, Joseph & Li, Kang & Higgins, Paraic & Foley, Aoife, 2017. "Gas generation and wind power: A review of unlikely allies in the United Kingdom and Ireland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 757-768.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Dayong & Shi, Min & Shi, Xunpeng, 2018. "Oil indexation, market fundamentals, and natural gas prices: An investigation of the Asian premium in natural gas trade," Energy Economics, Elsevier, vol. 69(C), pages 33-41.
    2. Nick, Sebastian & Thoenes, Stefan, 2014. "What drives natural gas prices? — A structural VAR approach," Energy Economics, Elsevier, vol. 45(C), pages 517-527.
    3. Atle Oglend, Morten E. Lindbäck, and Petter Osmundsen, 2015. "Shale Gas Boom Affecting the Relationship Between LPG and Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    4. Erdős, Péter, 2012. "Have oil and gas prices got separated?," Energy Policy, Elsevier, vol. 49(C), pages 707-718.
    5. Derek Bunn, Julien Chevallier, Yannick Le Pen, and Benoit Sevi, 2017. "Fundamental and Financial Influences on the Co-movement of Oil and Gas Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    6. Ekaterina Dukhanina & Olivier Massol, 2017. "Spatial Integration of Natural Gas Markets A Litterature Review," Working Papers hal-03187890, HAL.
    7. 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.
    8. Ren, Xiaohang & Lu, Zudi & Cheng, Cheng & Shi, Yukun & Shen, Jian, 2019. "On dynamic linkages of the state natural gas markets in the USA: Evidence from an empirical spatio-temporal network quantile analysis," Energy Economics, Elsevier, vol. 80(C), pages 234-252.
    9. 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.
    10. Abdullahi Alim & Peter R. Hartley & Yihui Lan, 2018. "Asian Spot Prices for LNG and other Energy Commodities," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    11. Lindback, Morten & Osmundsen, Petter & Øglend, Atle, 2013. "Shale Gas and the Relationship between U.S. Natural Gas, Liquified Petroleum Gases and Oil Market," UiS Working Papers in Economics and Finance 2013/5, University of Stavanger.
    12. Hupka, Yuri & Popova, Ivilina & Simkins, Betty & Lee, Thomas, 2023. "A review of the literature on LNG: Hubs development, market integration, and price discovery," Journal of Commodity Markets, Elsevier, vol. 31(C).
    13. Chiappini, Raphaël & Jégourel, Yves & Raymond, Paul, 2019. "Towards a worldwide integrated market? New evidence on the dynamics of U.S., European and Asian natural gas prices," Energy Economics, Elsevier, vol. 81(C), pages 545-565.
    14. Cristina Bencivenga & Giulia Sargenti, 2010. "Crucial relationship among energy commodity prices," Working Papers 5, Doctoral School of Economics, Sapienza University of Rome, revised 2010.
    15. repec:dau:papers:123456789/11692 is not listed on IDEAS
    16. Baba, Amina & Creti, Anna & Massol, Olivier, 2020. "What can be learned from the free destination option in the LNG imbroglio?," Energy Economics, Elsevier, vol. 89(C).
    17. Frank Asche, Atle Oglend, and Petter Osmundsen, 2017. "Modeling UK Natural Gas Prices when Gas Prices Periodically Decouple from the Oil Price," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    18. Dahl, Roy Endre & Ogland, Atle & Osmundsen, Petter & Sikveland, Marius, 2011. "Are oil and natural gas going separate ways in the UK? Cointegration tests with Structural shifts," UiS Working Papers in Economics and Finance 2011/5, University of Stavanger.
    19. Jadidzadeh, Ali & Serletis, Apostolos, 2017. "How does the U.S. natural gas market react to demand and supply shocks in the crude oil market?," Energy Economics, Elsevier, vol. 63(C), pages 66-74.
    20. Ji, Qiang & Zhang, Hai-Ying & Geng, Jiang-Bo, 2018. "What drives natural gas prices in the United States? – A directed acyclic graph approach," Energy Economics, Elsevier, vol. 69(C), pages 79-88.
    21. Kaufmann, Robert K. & Hines, Edward, 2018. "The effects of combined-cycle generation and hydraulic fracturing on the price for coal, oil, and natural gas: Implications for carbon taxes," Energy Policy, Elsevier, vol. 118(C), pages 603-611.

    More about this item

    Keywords

    LNG; natural Gas; oil-indexation; Cointegration; Structural Breaks; Unobserved Components Model;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cam:camdae:1253. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jake Dyer (email available below). General contact details of provider: https://www.econ.cam.ac.uk/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.