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Oil and S&P 500 Markets: Evidence from the Nonlinear Model

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  • Yen-Hsien Lee

    (Department of Finance, Chung Yuan Christian University, 200 Chung Pei Road. Chung Li 32023, Taiwan, R.O.C.)

  • Fang Hao

    (Graduate Institute of Assets and Property Management, Hwa Hsia Institute of Technology, Taipei, Taiwan,)

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    Abstract

    This study begins by using a MTAR model to explore the asymmetric effects of error corrections between oil prices in the U.S.A and S&P 500 prices under different regimes. After confirming the lead/lag relationship between the S&P 500 and oil prices, we employ a STECM to analyze the short-run return dynamics when there are deviations from the equilibrium between the two variables. Our empirical evidence shows that an asymmetric co-integration relationship exists between the S&P 500 and oil prices. In addition, the results of the Granger causality test based on the TECM document the unidirectional relationship from the oil price to the S&P 500 price. Moreover, the short-run adjustments of the mean reversion to equilibrium follow the LSTECM. The contribution of this study might be in that the LSTECM-GARCH model is well suited to describing the short-run return dynamics of the disequilibrium between the oil prices and S&P 500 prices in the U.S.A.

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    Bibliographic Info

    Article provided by Econjournals in its journal International Journal of Economics and Financial Issues.

    Volume (Year): 2 (2012)
    Issue (Month): 3 ()
    Pages: 272-280

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    Handle: RePEc:eco:journ1:2012-03-5

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    Web page: http://www.econjournals.com

    Related research

    Keywords: Threshold Co-integration Test; Threshold Error-Correction Model; Stock Market; Oil Market; STECM-GARCH Model;

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    References

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    1. Enders, Walter & Siklos, Pierre L, 2001. "Cointegration and Threshold Adjustment," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 166-76, April.
    2. Felix Chan & Michael McAleer, 2003. "Estimating smooth transition autoregressive models with GARCH errors in the presence of extreme observations and outliers," Applied Financial Economics, Taylor & Francis Journals, vol. 13(8), pages 581-592.
    3. Jones, Charles M & Kaul, Gautam, 1996. " Oil and the Stock Markets," Journal of Finance, American Finance Association, vol. 51(2), pages 463-91, June.
    4. Enders, Walter & Granger, Clive W J, 1998. "Unit-Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 304-11, July.
    5. Bruce E. Hansen & Mehmet Caner, 1997. "Threshold Autoregressions with a Unit Root," Boston College Working Papers in Economics 381, Boston College Department of Economics.
    6. Syed A. Basher & Perry Sadorsky, 2004. "Oil price risk and emerging stock markets," International Finance 0410003, EconWPA.
    7. Papapetrou, Evangelia, 2001. "Oil price shocks, stock market, economic activity and employment in Greece," Energy Economics, Elsevier, vol. 23(5), pages 511-532, September.
    8. Yen-Hsien Lee & Chien-Liang Chiu, 2010. "Nonlinear adjustment of short-term deviations impacts on the US real estate market," Applied Economics Letters, Taylor & Francis Journals, vol. 17(6), pages 597-603.
    9. Kaul, Gautam & Seyhun, H Nejat, 1990. " Relative Price Variability, Real Shocks, and the Stock Market," Journal of Finance, American Finance Association, vol. 45(2), pages 479-96, June.
    10. Sadorsky, Perry, 1999. "Oil price shocks and stock market activity," Energy Economics, Elsevier, vol. 21(5), pages 449-469, October.
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