IDEAS home Printed from https://ideas.repec.org/a/bla/opecrv/v38y2014i3p356-372.html
   My bibliography  Save this article

Paper oil and physical oil: has speculative pressure in oil futures increased volatility in spot oil prices?

Author

Listed:
  • Babajide Fowowe

Abstract

A number of authors have attributed the high and volatile oil prices experienced since the turn of the 21st century to increased speculative activities arising from a relaxation of regulations in futures markets. This study examined the effects of speculative pressure on the volatility of spot oil prices. I constructed two measures of speculative pressure and modelled the volatility in oil returns by using the GARCH autoregressive conditional jump intensity model of Chan and Maheu, which models the effects of extreme news events in returns. Empirical results showed a significant positive coefficient for speculative pressure, implying that increased speculative pressure has contributed to volatile oil prices. This result is robust to different GARCH estimators and measures of speculative pressure.

Suggested Citation

  • Babajide Fowowe, 2014. "Paper oil and physical oil: has speculative pressure in oil futures increased volatility in spot oil prices?," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 38(3), pages 356-372, September.
    • Handle: RePEc:bla:opecrv:v:38:y:2014:i:3:p:356-372
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/opec.12036
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Aaron Tornell & Chunming Yuan, 2012. "Speculation and hedging in the currency futures markets: Are they informative to the spot exchange rates," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(2), pages 122-151, February.
    2. Sanders, Dwight R. & Boris, Keith & Manfredo, Mark, 2004. "Hedgers, funds, and small speculators in the energy futures markets: an analysis of the CFTC's Commitments of Traders reports," Energy Economics, Elsevier, vol. 26(3), pages 425-445, May.
    3. Frans A. De Roon & Theo E. Nijman & Chris Veld, 2000. "Hedging Pressure Effects in Futures Markets," Journal of Finance, American Finance Association, vol. 55(3), pages 1437-1456, June.
    4. Fleming, Jeff & Ostdiek, Barbara, 1999. "The impact of energy derivatives on the crude oil market," Energy Economics, Elsevier, vol. 21(2), pages 135-167, April.
    5. Chan, Wing H & Maheu, John M, 2002. "Conditional Jump Dynamics in Stock Market Returns," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 377-389, July.
    6. Du, Xiaodong & Yu, Cindy L. & Hayes, Dermot J., 2011. "Speculation and volatility spillover in the crude oil and agricultural commodity markets: A Bayesian analysis," Energy Economics, Elsevier, vol. 33(3), pages 497-503, May.
    7. Kasman, Adnan & Kasman, Saadet, 2008. "The impact of futures trading on volatility of the underlying asset in the Turkish stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2837-2845.
    8. Philippe Jorion, 1988. "On Jump Processes in the Foreign Exchange and Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 1(4), pages 427-445.
    9. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    10. Marc Gronwald, 2009. "Jumps in Oil Prices- Evidence and Implications," ifo Working Paper Series 75, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    11. John M. Maheu & Thomas H. McCurdy, 2004. "News Arrival, Jump Dynamics, and Volatility Components for Individual Stock Returns," Journal of Finance, American Finance Association, vol. 59(2), pages 755-793, April.
    12. Chatrath, Arjun & Song, Frank, 1999. "Futures Commitments and Commodity Price Jumps," The Financial Review, Eastern Finance Association, vol. 34(3), pages 95-111, August.
    13. John Parsons, 2010. "Black Gold and Fool’s Gold: Speculation in the Oil Futures Market," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 81-116, January.
    14. C. W. Morgan, 1999. "Futures Markets and Spot Price Volatility: A Case Study," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(2), pages 247-257, May.
    15. John Board & Gleb Sandmann & Charles Sutcliffe, 2001. "The Effect of Futures Market Volume on Spot Market Volatility," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(7‐8), pages 799-819, September.
    16. Askari, Hossein & Krichene, Noureddine, 2008. "Oil price dynamics (2002-2006)," Energy Economics, Elsevier, vol. 30(5), pages 2134-2153, September.
    17. Ali F. Darrat & Shafiqur Rahman & Maosen Zhong, 2002. "On the Role of Futures Trading in Spot Market Fluctuations: Perpetrator of Volatility or Victim of Regret?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 25(3), pages 431-444, September.
    18. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    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. Rangel, José Gonzalo, 2011. "Macroeconomic news, announcements, and stock market jump intensity dynamics," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1263-1276, May.
    2. Zhang, Chuanguo & Qu, Xuqin, 2015. "The effect of global oil price shocks on China's agricultural commodities," Energy Economics, Elsevier, vol. 51(C), pages 354-364.
    3. Irena Barjav{s}i'c & Nino Antulov-Fantulin, 2020. "Time-varying volatility in Bitcoin market and information flow at minute-level frequency," Papers 2004.00550, arXiv.org, revised Jan 2021.
    4. Wan-Hsiu Cheng, 2008. "Overestimation in the Traditional GARCH Model During Jump Periods," Economics Bulletin, AccessEcon, vol. 3(68), pages 1-20.
    5. Jouchi Nakajima, 2008. "EGARCH and Stochastic Volatility: Modeling Jumps and Heavy-tails for Stock Returns," IMES Discussion Paper Series 08-E-23, Institute for Monetary and Economic Studies, Bank of Japan.
    6. Sharon S. Yang & Jr-Wei Huang & Chuang-Chang Chang, 2016. "Detecting and modelling the jump risk of CO 2 emission allowances and their impact on the valuation of option on futures contracts," Quantitative Finance, Taylor & Francis Journals, vol. 16(5), pages 749-762, May.
    7. Geon Choe & Kyungsub Lee, 2014. "Conditional correlation in asset return and GARCH intensity model," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 98(3), pages 197-224, July.
    8. Donatien Hainaut & Franck Moraux, 2019. "A switching self-exciting jump diffusion process for stock prices," Annals of Finance, Springer, vol. 15(2), pages 267-306, June.
    9. Gronwald, Marc, 2012. "A characterization of oil price behavior — Evidence from jump models," Energy Economics, Elsevier, vol. 34(5), pages 1310-1317.
    10. Zhang, Chuanguo & Tu, Xiaohua, 2016. "The effect of global oil price shocks on China's metal markets," Energy Policy, Elsevier, vol. 90(C), pages 131-139.
    11. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2003. "Some Like it Smooth, and Some Like it Rough: Untangling Continuous and Jump Components in Measuring, Modeling, and Forecasting Asset Return Volatility," PIER Working Paper Archive 03-025, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Sep 2003.
    12. Algirdas Justinas Staugaitis & Bernardas Vaznonis, 2022. "Financial Speculation Impact on Agricultural and Other Commodity Return Volatility: Implications for Sustainable Development and Food Security," Agriculture, MDPI, vol. 12(11), pages 1-27, November.
    13. Liu, Yuna, 2016. "Stock exchange integration and price jump risks - The case of the OMX Nordic exchange mergers," Umeå Economic Studies 925, Umeå University, Department of Economics.
    14. Chien-Liang Chiu & Ming-Chih Lee & Jui-Cheng Hung, 2005. "Estimation of Value-at-Risk under jump dynamics and asymmetric information," Applied Financial Economics, Taylor & Francis Journals, vol. 15(15), pages 1095-1106.
    15. F. Lilla, 2017. "High Frequency vs. Daily Resolution: the Economic Value of Forecasting Volatility Models - 2nd ed," Working Papers wp1099, Dipartimento Scienze Economiche, Universita' di Bologna.
    16. Zhang, Chuanguo & Mou, Xinjie & Ye, Shuping, 2022. "How do dynamic jumps in global crude oil prices impact China's industrial sector?," Energy, Elsevier, vol. 249(C).
    17. Bohl, Martin T. & Diesteldorf, Jeanne & Siklos, Pierre L., 2015. "The effect of index futures trading on volatility: Three markets for Chinese stocks," China Economic Review, Elsevier, vol. 34(C), pages 207-224.
    18. repec:ebl:ecbull:v:3:y:2008:i:68:p:1-20 is not listed on IDEAS
    19. Li, Guangzhong & Zhu, Jiaqing & Li, Jie, 2016. "Understanding bilateral exchange rate risks," Journal of International Money and Finance, Elsevier, vol. 68(C), pages 103-129.
    20. Geon Ho Choe & Kyungsub Lee, 2013. "Conditional correlation in asset return and GARCH intensity model," Papers 1311.4977, arXiv.org.
    21. F. Lilla, 2016. "High Frequency vs. Daily Resolution: the Economic Value of Forecasting Volatility Models," Working Papers wp1084, Dipartimento Scienze Economiche, Universita' di Bologna.

    More about this item

    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:38:y:2014:i:3:p:356-372. 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.