IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v28y2007i3p31-50.html
   My bibliography  Save this article

The Supply of Storage for Natural Gas in California

Author

Listed:
  • Rocío Uría
  • Jeffrey Williams

Abstract

Do natural gas storage decisions in distant California respond to NYMEX futures price spreads? Daily data about flows into and out of storage facilities in California over 2002-2006 and daily spreads on NYMEX are used to investigate whether the net injection profile is consistent with the “supply-of-storage†curve first observed by Working for wheat. Storage decisions in California do seem to be influenced by a price signal that combines the intertemporal spread and the locational basis between California and the Henry Hub, in addition to strong seasonal and weekly cycles that determine net injections to a considerable extent. The timing and magnitude of the price response differ across storage facilities. Regulatory requirements and operational constraints also limit the response to short-lived arbitrage opportunities.

Suggested Citation

  • Rocío Uría & Jeffrey Williams, 2007. "The Supply of Storage for Natural Gas in California," The Energy Journal, , vol. 28(3), pages 31-50, July.
  • Handle: RePEc:sae:enejou:v:28:y:2007:i:3:p:31-50
    DOI: 10.5547/ISSN0195-6574-EJ-Vol28-No3-3
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/ISSN0195-6574-EJ-Vol28-No3-3
    Download Restriction: no

    File URL: https://libkey.io/10.5547/ISSN0195-6574-EJ-Vol28-No3-3?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
    ---><---

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    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. Olivier Rousse & Benoît Sévi, 2017. "Informed Trading in Oil-Futures Market," Working Papers hal-01460186, HAL.
    2. Kuruppuarachchi, Duminda & Premachandra, I.M., 2016. "Information spillover dynamics of the energy futures market sector: A novel common factor approach," Energy Economics, Elsevier, vol. 57(C), pages 277-294.
    3. Vortelinos, Dimitrios I. & Koulakiotis, Athanasios & Tsagkanos, Athanasios, 2017. "Intraday analysis of macroeconomic news surprises and asymmetries in mini-futures markets," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 150-168.
    4. 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.
    5. 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.
    6. Rousse, Olivier & Sévi, Benoît, 2016. "Informed Trading in Oil-Futures Market," ESP: Energy Scenarios and Policy 249788, Fondazione Eni Enrico Mattei (FEEM).
    7. Ye, Shiyu & Karali, Berna, 2016. "The informational content of inventory announcements: Intraday evidence from crude oil futures market," Energy Economics, Elsevier, vol. 59(C), pages 349-364.
    8. Yanting Chen & Peter R. Hartley & Yihui Lan, 2023. "Temperature, storage, and natural gas futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(4), pages 549-575, April.
    9. Giulietti, Monica & Grossi, Luigi & Waterson, Michael, 2011. "A Rough Examination of the value of gas storage," The Warwick Economics Research Paper Series (TWERPS) 967, University of Warwick, Department of Economics.
    10. Chen Gu & Alexander Kurov, 2018. "What drives informed trading before public releases? Evidence from natural gas inventory announcements," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(9), pages 1079-1096, September.
    11. Chiou-Wei, Song-Zan & Chen, Sheng-Hung & Zhu, Zhen, 2020. "Natural gas price, market fundamentals and hedging effectiveness," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 321-337.
    12. Bjursell, Johan & Gentle, James E. & Wang, George H.K., 2015. "Inventory announcements, jump dynamics, volatility and trading volume in U.S. energy futures markets," Energy Economics, Elsevier, vol. 48(C), pages 336-349.
    13. Monica Giulietti, Luigi Grossi, and Michael Waterson, 2012. "A Rough Analysis: Valuing Gas Storage," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    14. Drachal, Krzysztof, 2018. "Comparison between Bayesian and information-theoretic model averaging: Fossil fuels prices example," Energy Economics, Elsevier, vol. 74(C), pages 208-251.
    15. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2005. "Volatility forecasting," CFS Working Paper Series 2005/08, Center for Financial Studies (CFS).
    16. Marc Bohmann & Vinay Patel, 2020. "Information Leakage in Energy Derivatives around News Announcements," Published Paper Series 2020-2, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    17. Hong Miao & Sanjay Ramchander & Tianyang Wang & Jian Yang, 2018. "The impact of crude oil inventory announcements on prices: Evidence from derivatives markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 38-65, January.
    18. Adrian Fernandez-Perez & Alexandre Garel & Ivan Indriawan, 2020. "Natural Gas Storage Forecasts: Is the Crowd Wiser?," The Energy Journal, , vol. 41(5), pages 213-238, September.
    19. Bu, Hui, 2014. "Effect of inventory announcements on crude oil price volatility," Energy Economics, Elsevier, vol. 46(C), pages 485-494.
    20. Krzysztof Drachal & Michał Pawłowski, 2024. "Forecasting Selected Commodities’ Prices with the Bayesian Symbolic Regression," IJFS, MDPI, vol. 12(2), pages 1-56, March.

    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:sae:enejou:v:28:y:2007:i:3:p:31-50. 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: SAGE Publications (email available below). General contact details of provider: .

    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.