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Nonlinear oil price dynamics: a tale of heterogeneous speculators?

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  • Reitz, Stefan
  • Slopek, Ulf Dieter

Abstract

While some of the recent surge of oil prices can be attributed to robust global demand at a time of tight production capacities, commentators occasionally also blame the impact of speculators for part of the price pressure. We propose an empirical oil market model with heterogeneous speculators. Whereas trend-extrapolating chartists may tend to destabilize the market, fundamentalists exercise a stabilizing effect on the price dynamics. Using monthly data for WTI oil prices, our STR-GARCH estimates indicate that oil price cycles may indeed emerge due to the nonlinear interplay between different trader types.

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  • Reitz, Stefan & Slopek, Ulf Dieter, 2008. "Nonlinear oil price dynamics: a tale of heterogeneous speculators?," Discussion Paper Series 1: Economic Studies 2008,10, Deutsche Bundesbank.
    • Handle: RePEc:zbw:bubdp1:7552
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    Cited by:

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    2. Cifarelli, Giulio & Paladino, Giovanna, 2010. "Oil price dynamics and speculation: A multivariate financial approach," Energy Economics, Elsevier, vol. 32(2), pages 363-372, March.
    3. Reitz, Stefan & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "Nonlinear expectations in speculative markets – Evidence from the ECB survey of professional forecasters," Journal of Economic Dynamics and Control, Elsevier, vol. 36(9), pages 1349-1363.
    4. Joëts, Marc, 2015. "Heterogeneous beliefs, regret, and uncertainty: The role of speculation in energy price dynamics," European Journal of Operational Research, Elsevier, vol. 247(1), pages 204-215.
    5. Chan, Leo H. & Nguyen, Chi M. & Chan, Kam C., 2015. "A new approach to measure speculation in the oil futures market and some policy implications," Energy Policy, Elsevier, vol. 86(C), pages 133-141.
    6. Jan Christoph Ruelke & Christian Pierdzioch & Georg Stadtmann, 2012. "On the internal consistency of short-term, medium-term and long-term oil price forecasts," Applied Economics, Taylor & Francis Journals, vol. 44(21), pages 2757-2765, July.
    7. Morana, Claudio, 2013. "Oil price dynamics, macro-finance interactions and the role of financial speculation," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 206-226.
    8. Reitz, Stefan & Ruelke, Jan & Stadtmann, Georg, 2009. "Are oil-price-forecasters finally right? -- Regressive expectations towards more fundamental values of the oil price," MPRA Paper 15607, University Library of Munich, Germany.
    9. Saporta, Victoria & Trott, Matt & Tudela, Merxe, 2009. "What can be said about the rise and fall in oil prices?," Bank of England Quarterly Bulletin, Bank of England, vol. 49(3), pages 215-225.
    10. Pastor, Daniel J. & Ewing, Bradley T., 2022. "Is there evidence of mild explosive behavior in Alaska North Slope crude oil prices?," Energy Economics, Elsevier, vol. 114(C).
    11. Vansteenkiste, Isabel, 2011. "What is driving oil futures prices? Fundamentals versus speculation," Working Paper Series 1371, European Central Bank.
    12. 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.
    13. repec:ipg:wpaper:31 is not listed on IDEAS
    14. Pierdzioch, Christian & Reitz, Stefan & Ruelke, Jan-Christoph, 2014. "Heterogeneous Forecasters and Nonlinear Expectation Formation in the U.S. Stock Market," FinMaP-Working Papers 11, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    15. repec:ipg:wpaper:2013-031 is not listed on IDEAS
    16. Reitz, Stefan & Stadtmann, Georg & Taylor, Mark P., 2010. "The effects of Japanese interventions on FX-forecast heterogeneity," Economics Letters, Elsevier, vol. 108(1), pages 62-64, July.
    17. Alizadeh, Amir H. & Thanopoulou, Helen & Yip, Tsz Leung, 2017. "Investors’ behavior and dynamics of ship prices: A heterogeneous agent model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 98-114.
    18. Saskia ter Ellen & Willem F. C. Verschoor, 2018. "Heterogeneous Beliefs and Asset Price Dynamics: A Survey of Recent Evidence," Dynamic Modeling and Econometrics in Economics and Finance, in: Fredj Jawadi (ed.), Uncertainty, Expectations and Asset Price Dynamics, pages 53-79, Springer.

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    More about this item

    Keywords

    oil price dynamics; endogenous bubbles; STR GARCH model;
    All these keywords.

    JEL classification:

    • Q33 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Resource Booms (Dutch Disease)
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

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