IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v40y2019i2p139-160.html

Informed Trading in the WTI Oil Futures Market

Author

Listed:
  • Olivier Rousse
  • Benoît Sévi

Abstract

The weekly release of the U.S. inventory level by the DOE-EIA is known as the market mover in the U.S. oil futures market. We uncover suspicious trading patterns in the WTI futures markets in days when the inventory level is released that are higher than market forecasts: there are significantly more orders initiated by buyers in the two hours preceding the official release of the inventory level, with a drop in the average price of -0.25% ahead of the news release. This finding is consistent with informed trading. We also provide evidence of an asymmetric response of the oil price to oil-inventory news, and highlight an over-reaction that is partly compensated in the hours following the announcement.

Suggested Citation

  • Olivier Rousse & Benoît Sévi, 2019. "Informed Trading in the WTI Oil Futures Market," The Energy Journal, , vol. 40(2), pages 139-160, March.
  • Handle: RePEc:sae:enejou:v:40:y:2019:i:2:p:139-160
    DOI: 10.5547/01956574.40.2.orou
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/01956574.40.2.orou
    Download Restriction: no

    File URL: https://libkey.io/10.5547/01956574.40.2.orou?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. 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.
    2. Barberis, Nicholas & Thaler, Richard, 2003. "A survey of behavioral finance," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 18, pages 1053-1128, Elsevier.
    3. Berk, Istemi & Rauch, Jannes, 2016. "Regulatory interventions in the US oil and gas sector: How do the stock markets perceive the CFTC's announcements during the 2008 financial crisis?," Energy Economics, Elsevier, vol. 54(C), pages 337-348.
    4. repec:aen:journl:ej34-3-01 is not listed on IDEAS
    5. Utpal Bhattacharya, 2014. "Insider Trading Controversies: A Literature Review," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 385-403, December.
    6. Bu, Hui, 2014. "Effect of inventory announcements on crude oil price volatility," Energy Economics, Elsevier, vol. 46(C), pages 485-494.
    7. Zhang, Hui Jun & Dufour, Jean-Marie & Galbraith, John W., 2016. "Exchange rates and commodity prices: Measuring causality at multiple horizons," Journal of Empirical Finance, Elsevier, vol. 36(C), pages 100-120.
    8. Chiou-Wei, Song-Zan & Linn, Scott C. & Zhu, Zhen, 2014. "The response of U.S. natural gas futures and spot prices to storage change surprises: Fundamental information and the effect of escalating physical gas production," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 156-173.
    9. Ferraro, Domenico & Rogoff, Kenneth & Rossi, Barbara, 2015. "Can oil prices forecast exchange rates? An empirical analysis of the relationship between commodity prices and exchange rates," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 116-141.
    10. John, Kose & Lang, Larry H P, 1991. "Insider Trading around Dividend Announcements: Theory and Evidence," Journal of Finance, American Finance Association, vol. 46(4), pages 1361-1389, September.
    11. Hirshleifer, David & Subrahmanyam, Avanidhar & Titman, Sheridan, 1994. "Security Analysis and Trading Patterns When Some Investors Receive Information before Others," Journal of Finance, American Finance Association, vol. 49(5), pages 1665-1698, December.
    12. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    13. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    14. 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.
    15. Kilian, Lutz & Lee, Thomas K., 2014. "Quantifying the speculative component in the real price of oil: The role of global oil inventories," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 71-87.
    16. Domenico Ferraro & Kenneth S. Rogoff & Barbara Rossi, 2011. "Can oil prices forecast exchange rates?," Working Papers 11-34, Federal Reserve Bank of Philadelphia.
    17. 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)

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. Sultan Alturki & Alexander Kurov, 2022. "Market inefficiencies surrounding energy announcements," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(1), pages 172-188, January.

    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. Rousse, Olivier & Sévi, Benoît, "undated". "Informed Trading in Oil-Futures Market," ESP: Energy Scenarios and Policy 249788, Fondazione Eni Enrico Mattei (FEEM).
    3. Tarek Chebbi & Waleed Hmedat, 2024. "Inventory information arrival and the crude oil futures market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1513-1533, April.
    4. Marcel Prokopczuk & Chardin Wese Simen & Robert Wichmann, 2021. "The Natural Gas Announcement Day Puzzle," The Energy Journal, , vol. 42(2), pages 91-112, March.
    5. Iwaisako, Tokuo & Nakata, Hayato, 2017. "Impact of exchange rate shocks on Japanese exports: Quantitative assessment using a structural VAR model," Journal of the Japanese and International Economies, Elsevier, vol. 46(C), pages 1-16.
    6. 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.
    7. Liu, Li & Tan, Siming & Wang, Yudong, 2020. "Can commodity prices forecast exchange rates?," Energy Economics, Elsevier, vol. 87(C).
    8. Felix Kapfhammer & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "Climate Risk and Commodity Currencies," Working Papers No 10/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    9. Athanasios Triantafyllou & Dimitrios Bakas & Marilou Ioakimidis, 2023. "Commodity price uncertainty as a leading indicator of economic activity," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4194-4219, October.
    10. Ron Alquist & Reinhard Ellwanger & Jianjian Jin, 2020. "The effect of oil price shocks on asset markets: Evidence from oil inventory news," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(8), pages 1212-1230, August.
    11. Tiwari, Aviral Kumar & Trabelsi, Nader & Alqahtani, Faisal & Bachmeier, Lance, 2019. "Modelling systemic risk and dependence structure between the prices of crude oil and exchange rates in BRICS economies: Evidence using quantile coherency and NGCoVaR approaches," Energy Economics, Elsevier, vol. 81(C), pages 1011-1028.
    12. Yue, Tian & Li, Lu-Lu & Wu, Wenfeng, 2025. "Weekday variations in the Chinese crude oil futures market: Unveiling the influence of COVID-19 and EIA shocks," International Review of Financial Analysis, Elsevier, vol. 106(C).
    13. Yang, Lu & Cai, Xiao Jing & Hamori, Shigeyuki, 2018. "What determines the long-term correlation between oil prices and exchange rates?," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 140-152.
    14. Hongcheng Ding & Xuanze Zhao & Ruiting Deng & Shamsul Nahar Abdullah & Deshinta Arrova Dewi, 2024. "EUR-USD Exchange Rate Forecasting Based on Information Fusion with Large Language Models and Deep Learning Methods," Papers 2408.13214, arXiv.org, revised Jun 2025.
    15. 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.
    16. Jung, Young Cheol & Das, Anupam & McFarlane, Adian, 2020. "The asymmetric relationship between the oil price and the US-Canada exchange rate," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 198-206.
    17. Jia Liao & Yu Shi & Xiangyun Xu, 2018. "Why Is the Correlation between Crude Oil Prices and the US Dollar Exchange Rate Time-Varying?—Explanations Based on the Role of Key Mediators," IJFS, MDPI, vol. 6(3), pages 1-13, June.
    18. Chen, Leqin, 2025. "China’s impact on global commodity returns: A time-varying perspective," Structural Change and Economic Dynamics, Elsevier, vol. 74(C), pages 677-689.
    19. Davood Pirayesh Neghab & Mucahit Cevik & M. I. M. Wahab, 2023. "Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning," Papers 2303.16149, arXiv.org.
    20. Chaturvedi, Priya & Kumar, Kuldeep, 2022. "Econometric modelling of exchange rate volatility using mixed-frequency data," MPRA Paper 115222, University Library of Munich, Germany.

    More about this item

    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:2:p:139-160. 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.