IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v40y2019i5p121-142.html
   My bibliography  Save this article

EIA Storage Announcements, Analyst Storage Forecasts, and Energy Prices

Author

Listed:
  • Louis H. Ederington
  • Fang Lin
  • Scott C. Linn
  • Lisa (Zongfei) Yang

Abstract

Exploring properties both of the EIA’s natural gas and crude oil storage announcements and of analyst forecasts of the EIA storage figures, we find that analyst storage forecasts bring additional information to the market beyond seasonal patterns and past storage flows and that the market promptly incorporates analyst forecasts into oil and gas prices prior to the EIA announcements. Analyst’s natural gas forecasts efficiently impound the available time-series information but crude oil forecasts do not. We further find that the price reaction to subsequent EIA natural gas storage announcements is contingent on the level of analyst forecast uncertainty as proxied by analyst forecast disagreement. Storage flows higher or lower than analysts had expected one week tend to be partially reversed the following week and analyst forecast dispersion regarding future forecasts increases following large forecast errors.

Suggested Citation

  • Louis H. Ederington & Fang Lin & Scott C. Linn & Lisa (Zongfei) Yang, 2019. "EIA Storage Announcements, Analyst Storage Forecasts, and Energy Prices," The Energy Journal, , vol. 40(5), pages 121-142, September.
    • Handle: RePEc:sae:enejou:v:40:y:2019:i:5:p:121-142
    DOI: 10.5547/01956574.40.5.lede
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/01956574.40.5.lede
    Download Restriction: no
    File URL: https://libkey.io/10.5547/01956574.40.5.lede?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. 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.
    2. Mu, Xiaoyi, 2007. "Weather, storage, and natural gas price dynamics: Fundamentals and volatility," Energy Economics, Elsevier, vol. 29(1), pages 46-63, January.
    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. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2021. "Dynamic frequency relationships and volatility spillovers in natural gas, crude oil, gas oil, gasoline, and heating oil markets: Implications for portfolio management," Resources Policy, Elsevier, vol. 73(C).
    3. Martínez, Beatriz & Torró, Hipòlit, 2015. "European natural gas seasonal effects on futures hedging," Energy Economics, Elsevier, vol. 50(C), pages 154-168.
    4. Karali, Berna & Ramirez, Octavio A., 2014. "Macro determinants of volatility and volatility spillover in energy markets," Energy Economics, Elsevier, vol. 46(C), pages 413-421.
    5. Francesco Angelini & Paolo Figini & Veronica Leoni, 2024. "High tide, low price? Flooding alerts and hotel prices in Venice," Tourism Economics, , vol. 30(4), pages 876-899, June.
    6. Furió, Dolores & Torró, Hipòlit, 2020. "Optimal hedging under biased energy futures markets," Energy Economics, Elsevier, vol. 88(C).
    7. Shao, Chengwu & Bhar, Ramaprasad & Colwell, David B., 2015. "A multi-factor model with time-varying and seasonal risk premiums for the natural gas market," Energy Economics, Elsevier, vol. 50(C), pages 207-214.
    8. Ronn, Ehud I., 2022. "Commodity market indicators of a 2023 Texas winter freeze," Journal of Commodity Markets, Elsevier, vol. 27(C).
    9. Stanislav Anatolyev & Sergei Seleznev & Veronika Selezneva, 2021. "How does the financial market update beliefs about the real economy? Evidence from the oil market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 938-961, November.
    10. Scarcioffolo, Alexandre R. & Etienne, Xiaoli, 2021. "Testing directional predictability between energy prices: A quantile-based analysis," Resources Policy, Elsevier, vol. 74(C).
    11. Zhao, Jing, 2022. "Exploring the influence of the main factors on the crude oil price volatility: An analysis based on GARCH-MIDAS model with Lasso approach," Resources Policy, Elsevier, vol. 79(C).
    12. Heijmans, Roweno J.R.K., 2023. "Adjustable emissions caps and the price of pollution," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    13. Ahmad, Wasim & Prakash, Ravi & Uddin, Gazi Salah & Chahal, Rishman Jot Kaur & Rahman, Md. Lutfur & Dutta, Anupam, 2020. "On the intraday dynamics of oil price and exchange rate: What can we learn from China and India?," Energy Economics, Elsevier, vol. 91(C).
    14. Lilian de Menezes & Marianna Russo & Giovanni Urga, 2016. "Identifying Drivers of Liquidity in the NBP Month-ahead Market," EcoMod2016 9570, EcoMod.
    15. Tao, Hu & Zhuang, Shan & Xue, Rui & Cao, Wei & Tian, Jinfang & Shan, Yuli, 2022. "Environmental Finance: An Interdisciplinary Review," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    16. Lee, Chien-Chiang & Wang, Chih-Wei & Ho, Shan-Ju & Wu, Ting-Pin, 2021. "The impact of natural disaster on energy consumption: International evidence," Energy Economics, Elsevier, vol. 97(C).
    17. 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.
    18. Luo, Keyu & Guo, Qiang & Li, Xiafei, 2022. "Can the return connectedness indices from grey energy to natural gas help to forecast the natural gas returns?," Energy Economics, Elsevier, vol. 109(C).
    19. Baranes, Edmond & Mirabel, François & Poudou, Jean-Christophe, 2014. "Access to natural gas storage facilities: Strategic and regulation issues," Energy Economics, Elsevier, vol. 41(C), pages 19-32.
    20. Hobæk Haff, Ingrid & Lindqvist, Ola & Løland, Anders, 2008. "Risk premium in the UK natural gas forward market," Energy Economics, Elsevier, vol. 30(5), pages 2420-2440, September.

    More about this item

    Keywords

    Energy market; Storage forecasts; EIA storage reports;
    All these keywords.

    JEL classification:

    • F0 - International Economics - - General

    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:sae:enejou:v:40:y:2019:i:5:p:121-142. 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.