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Nonlinear Adjustment of Emerging Stock Market Returns: Symmetrical or Asymmetrical

Author

Listed:
  • Seyyed Ali Paytakhti Oskooe

    (Islamic Azad University (IAU), Oxford Branch, UK)

Abstract

This study examines whether the nonlinear adjustment dynamic of stock returns to the equilibrium level in an emerging stock market is symmetrical or asymmetrical. The empirical results suggest that the data generating process of Iran stock returns series is nonlinear Smooth Transition Autoregressive (STAR) and dynamic adjustment of the stock returns to the long run equilibrium level is asymmetric. The adjustment mechanism of the Iran stock returns deviations from the equilibrium level are different in the bull and bear markets.

Suggested Citation

  • Seyyed Ali Paytakhti Oskooe, 2012. "Nonlinear Adjustment of Emerging Stock Market Returns: Symmetrical or Asymmetrical," International Journal of Economics and Financial Issues, Econjournals, vol. 2(2), pages 179-183.
  • Handle: RePEc:eco:journ1:2012-02-5
    as

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    References listed on IDEAS

    as
    1. Lumengo BONGA-BONGA, "undated". "Modeling Stock Returns in the South African Stock Exchange: a Nonlinear Approach," EcoMod2010 259600034, EcoMod.
    2. Bradley, Michael D. & Jansen, Dennis W., 2004. "Forecasting with a nonlinear dynamic model of stock returns and industrial production," International Journal of Forecasting, Elsevier, vol. 20(2), pages 321-342.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Stock returns; Smooth transition; Bull and bear markets;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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