IDEAS home Printed from https://ideas.repec.org/a/bla/opecrv/v30y2006i1p19-26.html
   My bibliography  Save this article

Futures trading and the storage of North American natural gas

Author

Listed:
  • Apostolos Serletis
  • Asghar Shahmoradi

Abstract

This paper tests the theory of storage in North American natural gas markets, using the Fama and French (1988) indirect test. In particular, we test the theory's prediction that when inventory is high, large inventory responses to shocks imply roughly equal changes in spot and futures prices, whereas when inventory is low, smaller inventory responses to shocks imply larger changes in spot prices than in futures prices. Our tests on spot and futures North American natural gas prices confirm these predictions of the theory of storage.

Suggested Citation

  • Apostolos Serletis & Asghar Shahmoradi, 2006. "Futures trading and the storage of North American natural gas," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 30(1), pages 19-26, March.
    • Handle: RePEc:bla:opecrv:v:30:y:2006:i:1:p:19-26
    DOI: 10.1111/j.1468-0076.2006.00158.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1468-0076.2006.00158.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1468-0076.2006.00158.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Apostolos Serletis & Asghar Shahmoradi, 2007. "Business Cycles and Natural Gas Prices," World Scientific Book Chapters, in: Quantitative And Empirical Analysis Of Energy Markets, chapter 7, pages 73-81, World Scientific Publishing Co. Pte. Ltd..
    2. Apostolos Serletis & Vaughn W. Hulleman, 2007. "Business Cycles and the Behavior of Energy Prices," World Scientific Book Chapters, in: Quantitative And Empirical Analysis Of Energy Markets, chapter 4, pages 38-45, World Scientific Publishing Co. Pte. Ltd..
    3. French, Kenneth R, 1986. "Detecting Spot Price Forecasts in Futures Prices," The Journal of Business, University of Chicago Press, vol. 59(2), pages 39-54, April.
    4. Lester G. Telser, 1958. "Futures Trading and the Storage of Cotton and Wheat," Journal of Political Economy, University of Chicago Press, vol. 66(3), pages 233-233.
    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. Oleg Kucher & Alexander Kurov, 2014. "Business cycle, storage, and energy prices," Review of Financial Economics, John Wiley & Sons, vol. 23(4), pages 217-226, November.
    2. 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..
    3. 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.
    4. Brajesh Kumar, 2016. "Asymmetric Volatility of Net Convenience Yield: Evidence from Indian Commodity Futures Markets," Proceedings of Economics and Finance Conferences 3205752, International Institute of Social and Economic Sciences.

    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. Tomek, William G., 1996. "Commodity Futures Prices As Forecasts," Working Papers 127901, Cornell University, Department of Applied Economics and Management.
    2. George Daskalakis, Lazaros Symeonidis, Raphael N. Markellos, 2015. "Electricity futures prices in an emissions constrained economy: Evidence from European power markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    3. Richard Heaney, 1998. "A Test of the cost‐of‐carry relationship using the London Metal Exchange lead contract," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(2), pages 177-200, April.
    4. Longstaff, Francis & Wang, Ashley, 2002. "Electricity Forward Prices: A High-Frequency Empirical Analysis," University of California at Los Angeles, Anderson Graduate School of Management qt7mh2m2bt, Anderson Graduate School of Management, UCLA.
    5. Rammerstorfer, Margarethe & Eisl, Roland, 2011. "Carbon capture and storage—Investment strategies for the future?," Energy Policy, Elsevier, vol. 39(11), pages 7103-7111.
    6. Saleuddin, Rasheed & Coffman, D’Maris, 2018. "Can inflation expectations be measured using commodity futures prices?," Structural Change and Economic Dynamics, Elsevier, vol. 45(C), pages 37-48.
    7. Apostolos Serletis & Vaughn W. Hulleman, 2007. "Business Cycles and the Behavior of Energy Prices," World Scientific Book Chapters, in: Quantitative And Empirical Analysis Of Energy Markets, chapter 4, pages 38-45, World Scientific Publishing Co. Pte. Ltd..
    8. Ng, Victor K. & Pirrong, Stephen Craig, 1996. "Price dynamics in refined petroleum spot and futures markets," Journal of Empirical Finance, Elsevier, vol. 2(4), pages 359-388, February.
    9. 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.
    10. Symeonidis, Lazaros & Prokopczuk, Marcel & Brooks, Chris & Lazar, Emese, 2012. "Futures basis, inventory and commodity price volatility: An empirical analysis," Economic Modelling, Elsevier, vol. 29(6), pages 2651-2663.
    11. Brajesh Kumar, 2016. "Asymmetric Volatility of Net Convenience Yield: Evidence from Indian Commodity Futures Markets," Proceedings of Economics and Finance Conferences 3205752, International Institute of Social and Economic Sciences.
    12. Yao, Wei & Alexiou, Constantinos, 2024. "On the transmission mechanism between the inventory arbitrage activity, speculative activity and the commodity price under the US QE policy: Evidence from a TVP-VAR model," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1054-1072.
    13. Maryam Ahmadi & Niaz Bashiri Behmiri & Matteo Manera, 2020. "The theory of storage in the crude oil futures market, the role of financial conditions," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1160-1175, July.
    14. Wai Mun Fong & Kim Hock See, 2001. "Modelling the conditional volatility of commodity index futures as a regime switching process," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(2), pages 133-163.
    15. Longstaff, Francis A & Wang, Ashley, 2002. "ELECTRICITY FORWARD PRICES: A High-Frequency Empirical Analysis," University of California at Los Angeles, Anderson Graduate School of Management qt3mw4q41x, Anderson Graduate School of Management, UCLA.
    16. Scott, Ayesha & Schoen, Tilman & Fernandez-Perez, Adrian, 2020. "The Predictive Power of NZX Dairy Futures," 2020 Conference (64th), February 12-14, 2020, Perth, Western Australia 305230, Australian Agricultural and Resource Economics Society.
    17. Bassam Fattouh & Lavan Mahadeva, 2014. "Causes and Implications of Shifts in Financial Participation in Commodity Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(8), pages 757-787, August.
    18. Getu Hailu & Alex Maynard & Alfons Weersink, 2015. "Empirical analysis of corn and soybean basis in Canada," Applied Economics, Taylor & Francis Journals, vol. 47(51), pages 5491-5509, November.
    19. A. Mazaheri, 1999. "Convenience yield, mean reverting prices, and long memory in the petroleum market," Applied Financial Economics, Taylor & Francis Journals, vol. 9(1), pages 31-50.
    20. Misund, Bård & Oglend, Atle, 2016. "Supply and demand determinants of natural gas price volatility in the U.K.: A vector autoregression approach," Energy, Elsevier, vol. 111(C), pages 178-189.

    More about this item

    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

    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:bla:opecrv:v:30:y:2006:i:1:p:19-26. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1111/%28ISSN%291753-0237 .

    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.