IDEAS home Printed from
   My bibliography  Save this article

The relationship between oil prices and stock prices: a nonlinear asymmetric cointegration approach


  • Panagiotis Rafailidis
  • Constantinos Katrakilidis


This article investigates the long-run and short-run dynamics between US stock prices and oil prices over the period from 1 January 1992 to 22 November 2013 using the S&P 500 index and West Texas Intermediate spot oil prices. Unlike the majority of previous studies that are based on the conventional time series analysis, we examine for the presence of different sources of nonlinearities, such as structural breaks and asymmetric adjustments in the dynamic links between the investigated markets. The results from the threshold autoregressive (TAR) and momentum threshold autoregressive (MTAR) models of Enders and Siklos (2001) in conjunction with the Threshold Error Correction Model estimations provide evidence of asymmetric responses towards the equilibrium.

Suggested Citation

  • Panagiotis Rafailidis & Constantinos Katrakilidis, 2014. "The relationship between oil prices and stock prices: a nonlinear asymmetric cointegration approach," Applied Financial Economics, Taylor & Francis Journals, vol. 24(12), pages 793-800, June.
  • Handle: RePEc:taf:apfiec:v:24:y:2014:i:12:p:793-800
    DOI: 10.1080/09603107.2014.907476

    Download full text from publisher

    File URL:
    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

    1. Kilian, Lutz & Vigfusson, Robert J., 2009. "Pitfalls in Estimating Asymmetric Effects of Energy Price Shocks," CEPR Discussion Papers 7284, C.E.P.R. Discussion Papers.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Salisu, Afees A. & Raheem, Ibrahim D. & Ndako, Umar B., 2019. "A sectoral analysis of asymmetric nexus between oil price and stock returns," International Review of Economics & Finance, Elsevier, vol. 61(C), pages 241-259.
    2. Phong Nguyen & Wei-han Liu, 2017. "Time-Varying Linkage of Possible Safe Haven Assets: A Cross-Market and Cross-asset Analysis," International Review of Finance, International Review of Finance Ltd., vol. 17(1), pages 43-76, March.
    3. Yami, Mesay & Meyer, Ferdi & Hassan, Rashid, 2016. "Modelling price formation and dynamics in the Ethiopian maize market," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 249346, African Association of Agricultural Economists (AAAE).
    4. Salah A. Nusair & Jamal A. Al-Khasawneh, 2018. "Oil price shocks and stock market returns of the GCC countries: empirical evidence from quantile regression analysis," Economic Change and Restructuring, Springer, vol. 51(4), pages 339-372, November.
    5. Pal, Debdatta & Mitra, Subrata K., 2019. "Oil price and automobile stock return co-movement: A wavelet coherence analysis," Economic Modelling, Elsevier, vol. 76(C), pages 172-181.
    6. Swaray, Raymond & Salisu, Afees A., 2018. "A firm-level analysis of the upstream-downstream dichotomy in the oil-stock nexus," Global Finance Journal, Elsevier, vol. 37(C), pages 199-218.
    7. Afees A. Salisu & Ibrahim D. Raheem & Umar B. Ndako, 2017. "A sectoral analysis of asymmetric nexus between oil and stock," Working Papers 033, Centre for Econometric and Allied Research, University of Ibadan.
    8. Salisu, Afees A. & Isah, Kazeem O., 2017. "Revisiting the oil price and stock market nexus: A nonlinear Panel ARDL approach," Economic Modelling, Elsevier, vol. 66(C), pages 258-271.
    9. Bahmani-Oskooee, Mohsen & Ghodsi, Seyed Hesam & Hadzic, Muris, 2019. "Asymmetric causality between oil price and stock returns:A sectoral analysis," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 165-174.
    10. Bing Xu, 2015. "Oil prices and UK industry-level stock returns," Applied Economics, Taylor & Francis Journals, vol. 47(25), pages 2608-2627, May.

    More about this item


    Access and download statistics


    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:taf:apfiec:v:24:y:2014:i:12:p:793-800. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.