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Smooth transition regime shifts and oil price dynamics

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  • Cifarelli, Giulio

Abstract

The interaction between rational hedgers and informed oil traders is parameterized and tested empirically with the help of a complex non linear smooth transition regime shift CCC-GARCH procedure. In spite of their gyrations, futures price changes are usually self-correcting. Well informed producers and consumers will ensure that crude oil prices – and thus the prices of the corresponding futures contracts – fluctuate within a long run equilibrium range determined by market fundamentals. During a steep price upswing, however, shifts in positions in the futures markets by well informed optimizing agents that usually dampen price changes, result in destabilizing positive feedback trading. Futures price changes that can be classified as speculative are due to destabilizing hedgers' reactions to movements in the variability of the return of their covered cash position. The paper provides in this way an innovative interpretation of the 2008 oil price bubble.

Suggested Citation

  • Cifarelli, Giulio, 2013. "Smooth transition regime shifts and oil price dynamics," Energy Economics, Elsevier, vol. 38(C), pages 160-167.
    • Handle: RePEc:eee:eneeco:v:38:y:2013:i:c:p:160-167
    DOI: 10.1016/j.eneco.2013.03.006
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    1. Leland L. Johnson, 1960. "The Theory of Hedging and Speculation in Commodity Futures," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 27(3), pages 139-151.
    2. Peter C. B. Phillips & Jun Yu, 2011. "Dating the timeline of financial bubbles during the subprime crisis," Quantitative Economics, Econometric Society, vol. 2(3), pages 455-491, November.
    3. Tokic, Damir, 2012. "Speculation and the 2008 oil bubble: The DCOT Report analysis," Energy Policy, Elsevier, vol. 45(C), pages 541-550.
    4. Westerhoff, Frank & Reitz, Stefan, 2005. "Commodity price dynamics and the nonlinear market impact of technical traders: empirical evidence for the US corn market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 349(3), pages 641-648.
    5. Giulio Cifarelli & Giovanna Paladino, 2012. "Can oil diversify away the unpriced risk of a portfolio?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 17(1), pages 73-88, January.
    6. Bahattin Buyuksahin & Jeffrey H. Harris, 2011. "Do Speculators Drive Crude Oil Futures Prices?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 167-202.
    7. Eitrheim, Oyvind & Terasvirta, Timo, 1996. "Testing the adequacy of smooth transition autoregressive models," Journal of Econometrics, Elsevier, vol. 74(1), pages 59-75, September.
    8. Tokic, Damir, 2011. "Rational destabilizing speculation, positive feedback trading, and the oil bubble of 2008," Energy Policy, Elsevier, vol. 39(4), pages 2051-2061, April.
    9. Ellen, Saskia ter & Zwinkels, Remco C.J., 2010. "Oil price dynamics: A behavioral finance approach with heterogeneous agents," Energy Economics, Elsevier, vol. 32(6), pages 1427-1434, November.
    10. Cifarelli, Giulio & Paladino, Giovanna, 2010. "Oil price dynamics and speculation: A multivariate financial approach," Energy Economics, Elsevier, vol. 32(2), pages 363-372, March.
    11. Kroner, Kenneth F. & Sultan, Jahangir, 1993. "Time-Varying Distributions and Dynamic Hedging with Foreign Currency Futures," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(4), pages 535-551, December.
    12. Kaufmann, Robert K., 2011. "The role of market fundamentals and speculation in recent price changes for crude oil," Energy Policy, Elsevier, vol. 39(1), pages 105-115, January.
    13. James D. Hamilton, 2009. "Understanding Crude Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 179-206.
    14. Baillie, Richard T & Myers, Robert J, 1991. "Bivariate GARCH Estimation of the Optimal Commodity Futures Hedge," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(2), pages 109-124, April-Jun.
    15. Ronald W. Ward & Lehman B. Fletcher, 1971. "From Hedging to Pure Speculation: A Micro Model of Optimal Futures and Cash Market Positions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(1), pages 71-78.
    16. Teräsvirta, Timo, 1996. "Smooth Transition Models," SSE/EFI Working Paper Series in Economics and Finance 132, Stockholm School of Economics.
    17. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    18. Figuerola-Ferretti, Isabel & Gonzalo, Jesús, 2010. "Modelling and measuring price discovery in commodity markets," Journal of Econometrics, Elsevier, vol. 158(1), pages 95-107, September.
    19. Sornette, Didier & Woodard, Ryan & Zhou, Wei-Xing, 2009. "The 2006–2008 oil bubble: Evidence of speculation, and prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1571-1576.
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    Cited by:

    1. Alessandro Cologni & Elisa Scarpa & Francesco Giuseppe Sitzia, 2015. "Big Fish: Oil Markets and Speculation," Working Papers 2015.52, Fondazione Eni Enrico Mattei.
    2. Cifarelli, Giulio & Paesani, Paolo, 2017. "On the difficulty of interpreting market behaviour in an uncertain world: the case of oil futures pricing between 2003 and 2016," MPRA Paper 84009, University Library of Munich, Germany.
    3. Giulio Cifarelli and Paolo Paesani, 2021. "Navigating the Oil Bubble: A Non-linear Heterogeneous-agent Dynamic Model of Futures Oil Pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    4. Fotini Economou & Konstantinos Gavriilidis & Bartosz Gebka & Vasileios Kallinterakis, 2022. "Feedback trading: a review of theory and empirical evidence," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(4), pages 429-476, February.
    5. Cologni, Alessandro & Scarpa, Elisa & Sitzia, Francesco Giuseppe, 2015. "Big Fish: Oil Markets and Speculation," Energy: Resources and Markets 206220, Fondazione Eni Enrico Mattei (FEEM).

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    More about this item

    Keywords

    Oil price bubble; Dynamic hedging; Logistic smooth transition; Multivariate GARCH;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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