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Nonlinear mean reversion in oil and stock markets


  • Fredj Jawadi
  • Mondher Bellalah


Purpose - While price studies such as Jawadi Design/methodology/approach - Using nonlinear econometric modeling, this paper investigates the oil market adjustment dynamics for four developed and emerging countries: France, the USA, Mexico and the Philippines. Our findings show strong evidence of significant linkages between oil and stock markets for all the countries under consideration. Findings - As in Jawadi Research limitations/implications - This paper develops a new nonlinear framework that should improve the investigation of oil-stock market linkages. Future research could check the forecasting properties of this model to forecast the future dynamics of oil prices. Originality/value - This paper adds to the literature by suggesting that it is not only oil shocks that affect stock markets, but that the latter also have a strong nonlinear impact on oil markets, reducing the diversification benefits of oil-stock portfolios.

Suggested Citation

  • Fredj Jawadi & Mondher Bellalah, 2011. "Nonlinear mean reversion in oil and stock markets," Review of Accounting and Finance, Emerald Group Publishing, vol. 10(3), pages 316-326, August.
  • Handle: RePEc:eme:rafpps:v:10:y:2011:i:3:p:316-326

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    References listed on IDEAS

    1. Lardic, Sandrine & Mignon, Valérie, 2008. "Oil prices and economic activity: An asymmetric cointegration approach," Energy Economics, Elsevier, vol. 30(3), pages 847-855, May.
    2. Taylor, Mark P & Peel, David A & Sarno, Lucio, 2001. "Nonlinear Mean-Reversion in Real Exchange Rates: Toward a Solution to the Purchasing Power Parity Puzzles," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(4), pages 1015-1042, November.
    3. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    4. Tsangyao Chang, 2001. "Are there any long-run benefits from international equity diversification for Taiwan investors diversifying in the equity markets of its major trading partners, Hong Kong, Japan, South Korea, Thailand," Applied Economics Letters, Taylor & Francis Journals, vol. 8(7), pages 441-446.
    5. Georges Prat & Fredj Jawadi, 2007. "Nonlinear stock prices adjustment in the G7 countries," Working Papers halshs-00172896, HAL.
    6. Michael, Panos & Nobay, A Robert & Peel, David A, 1997. "Transactions Costs and Nonlinear Adjustment in Real Exchange Rates: An Empirical Investigation," Journal of Political Economy, University of Chicago Press, vol. 105(4), pages 862-879, August.
    7. Lardic, Sandrine & Mignon, Valerie, 2006. "The impact of oil prices on GDP in European countries: An empirical investigation based on asymmetric cointegration," Energy Policy, Elsevier, vol. 34(18), pages 3910-3915, December.
    8. Masih, Abul M. M. & Masih, Rumi, 1997. "Dynamic linkages and the propagation mechanism driving major international stock markets: An analysis of the pre- and post-crash eras," The Quarterly Review of Economics and Finance, Elsevier, vol. 37(4), pages 859-885.
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    Cited by:

    1. Aghababa, Hajar & Barnett, William A., 2016. "Dynamic structure of the spot price of crude oil: does time aggregation matter?," Energy Economics, Elsevier, vol. 59(C), pages 227-237.
    2. Monge, Manuel & Gil-Alana, Luis A. & Pérez de Gracia, Fernando, 2017. "Crude oil price behaviour before and after military conflicts and geopolitical events," Energy, Elsevier, vol. 120(C), pages 79-91.
    3. Kisswani, Khalid M. & Nusair, Salah A., 2013. "Non-linearities in the dynamics of oil prices," Energy Economics, Elsevier, vol. 36(C), pages 341-353.


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