IDEAS home Printed from https://ideas.repec.org/a/eme/rafpps/v10y2011i3p316-326.html
   My bibliography  Save this article

Nonlinear mean reversion in oil and stock markets

Author

Listed:
  • Fredj Jawadi
  • Mondher Bellalah

Abstract

Purpose - While price studies such as Jawadiet al.generally focus on the relationships between oil and stock markets through the study of oil price on stock markets, this paper takes a different perspective to the linkages between oil and stock markets. This study sets out to investigate the efficiency hypothesis for oil markets while testing for whether oil price dynamics depend on stock market fluctuations or not. 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 Jawadiet al.who focus on stock price dynamics regarding oil price, the findings of this present paper, which focuses more on the oil industry, also point to an asymmetrical mean‐reversion between oil and stock markets that occurs in a nonlinear manner. They reject the informational efficiency hypothesis for oil markets. Indeed, while the previous literature often highlights the stock markets' dependence on the oil industry, this study contributes to the literature by concluding in favor of significant feedback from stock to oil markets, which is not compatible with the efficiency principle according to Fama. 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 Limited, vol. 10(3), pages 316-326, August.
  • Handle: RePEc:eme:rafpps:v:10:y:2011:i:3:p:316-326
    DOI: 10.1108/14757701111155815
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/14757701111155815/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/14757701111155815/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/14757701111155815?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
    ---><---

    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. 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.
    2. 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.
    3. Georges Prat & Fredj Jawadi, 2007. "Nonlinear stock prices adjustment in the G7 countries," Working Papers halshs-00172896, HAL.
    4. 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.
    5. 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.
    6. Lardic, Sandrine & Mignon, Valérie, 2008. "Oil prices and economic activity: An asymmetric cointegration approach," Energy Economics, Elsevier, vol. 30(3), pages 847-855, May.
    7. 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.
    8. Brown, Stephen P. A. & Yucel, Mine K., 2002. "Energy prices and aggregate economic activity: an interpretative survey," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(2), pages 193-208.
    9. 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.
    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. 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. Areli Bermudez Delgado, Nancy & Bermudez Delgado, Estefanía & Saucedo, Eduardo, 2018. "The relationship between oil prices, the stock market and the exchange rate: Evidence from Mexico," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 266-275.
    3. 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.
    4. Kisswani, Khalid M. & Nusair, Salah A., 2013. "Non-linearities in the dynamics of oil prices," Energy Economics, Elsevier, vol. 36(C), pages 341-353.

    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. Jawadi, Fredj & Leoni, Patrick, 2009. "Threshold cointegration relationships between oil and stock markets," Discussion Papers on Economics 3/2009, University of Southern Denmark, Department of Economics.
    2. Mohamed E AROURI & Fredj JAWADI & Duc K NGUYEN, 2012. "Nonlinear modeling of oil and stock price dynamics: segmentation or time-varying integration?," Economics Bulletin, AccessEcon, vol. 32(3), pages 2481-2489.
    3. Fredj Jawadi, 2009. "Essay in dividend modelling and forecasting: does nonlinearity help?," Applied Financial Economics, Taylor & Francis Journals, vol. 19(16), pages 1329-1343.
    4. Fayyad, Abdallah & Daly, Kevin, 2011. "The impact of oil price shocks on stock market returns: Comparing GCC countries with the UK and USA," Emerging Markets Review, Elsevier, vol. 12(1), pages 61-78, March.
    5. Natanelov, Valeri & McKenzie, Andrew M. & Van Huylenbroeck, Guido, 2013. "Crude oil–corn–ethanol – nexus: A contextual approach," Energy Policy, Elsevier, vol. 63(C), pages 504-513.
    6. Fredj Jawadi & Catherine Bruneau & Nadia Sghaier, 2009. "Nonlinear Cointegration Relationships Between Non‐Life Insurance Premiums and Financial Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 753-783, September.
    7. Nusair, Salah A., 2019. "Oil price and inflation dynamics in the Gulf Cooperation Council countries," Energy, Elsevier, vol. 181(C), pages 997-1011.
    8. Nicholas Apergis & Alper Aslan & Goodness C. Aye & Rangan Gupta, 2014. "The Asymmetric Effect of Oil Price on Growth across US States," Working Papers 201459, University of Pretoria, Department of Economics.
    9. Singh, Tarlok, 2014. "On the regime-switching and asymmetric dynamics of economic growth in the OECD countries," Research in Economics, Elsevier, vol. 68(2), pages 169-192.
    10. Mohamed Arouri & Christophe Rault, 2010. "Oil Prices and Stock Markets: What Drives What in the Gulf Corporation Council Countries," International Economics, CEPII research center, issue 122, pages 41-56.
    11. Nusair, Salah A. & Olson, Dennis, 2019. "The effects of oil price shocks on Asian exchange rates: Evidence from quantile regression analysis," Energy Economics, Elsevier, vol. 78(C), pages 44-63.
    12. Angelopoulos, Jason & Sahoo, Satya & Visvikis, Ilias D., 2020. "Commodity and transportation economic market interactions revisited: New evidence from a dynamic factor model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    13. Giannellis, Nikolaos & Papadopoulos, Athanasios P., 2009. "Testing for efficiency in selected developing foreign exchange markets: An equilibrium-based approach," Economic Modelling, Elsevier, vol. 26(1), pages 155-166, January.
    14. Mubariz Hasanov, 2009. "A note on efficiency of Australian and New Zealand stock markets," Applied Economics, Taylor & Francis Journals, vol. 41(2), pages 269-273.
    15. Arouri, Mohamed & Jawadi, Fredj & Nguyen, Duc Khuong, 2013. "What can we tell about monetary policy synchronization and interdependence over the 2007–2009 global financial crisis?," Journal of Macroeconomics, Elsevier, vol. 36(C), pages 175-187.
    16. Nusair, Salah A., 2016. "The effects of oil price shocks on the economies of the Gulf Co-operation Council countries: Nonlinear analysis," Energy Policy, Elsevier, vol. 91(C), pages 256-267.
    17. Sun, Li & Wang, Yang, 2021. "Global economic performance and natural resources commodity prices volatility: Evidence from pre and post COVID-19 era," Resources Policy, Elsevier, vol. 74(C).
    18. Muhammad Arshad Khan & Ayaz Ahmed, 2011. "Macroeconomic Effects of Global Food and Oil Price Shocks to the Pakistan Economy: A Structural Vector Autoregressive (SVAR) Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 50(4), pages 491-511.
    19. Grzegorz Przekota & Anna Szczepańska-Przekota, 2022. "Pro-Inflationary Impact of the Oil Market—A Study for Poland," Energies, MDPI, vol. 15(9), pages 1-19, April.
    20. Guan, Lu & Zhang, Wei-Wei & Ahmad, Ferhana & Naqvi, Bushra, 2021. "The volatility of natural resource prices and its impact on the economic growth for natural resource-dependent economies: A comparison of oil and gold dependent economies," Resources Policy, Elsevier, vol. 72(C).

    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:eme:rafpps:v:10:y:2011:i:3:p:316-326. 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: Emerald Support (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.