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Smooth Transition Regression Models in UK Stock Returns

Author

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  • Aslanidis, Nektarios

    (University of Manchester)

  • Denise R. Osborn
  • Marianne Sensier

Abstract

This paper models UK stock market returns in a smooth transition regression (STR) framework. We employ a variety of financial and macroeconomic series that are assumed to influence UK stock returns, namely GDP, interest rates, inflation, money supply and US stock prices. We estimate STR models where the linearity hypothesis is strongly rejected for at least one transition variable. These non-linear models describe the in-sample movements of the stock returns series better than the corresponding linear model. Moreover, the US stock market appears to play an important role in determining the UK stock market returns regime.

Suggested Citation

  • Aslanidis, Nektarios & Denise R. Osborn & Marianne Sensier, 2002. "Smooth Transition Regression Models in UK Stock Returns," Royal Economic Society Annual Conference 2002 11, Royal Economic Society.
    • Handle: RePEc:ecj:ac2002:11
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    Cited by:

    1. Alenka Kavkler & Mejra Festić, 2011. "Modelling Stock Exchange Index Returns in Different GDP Growth Regimes," Prague Economic Papers, Prague University of Economics and Business, vol. 2011(1), pages 3-22.
    2. Corakci, Aysegul & Omay, Tolga, 2023. "Is there convergence in renewable energy deployment? Evidence from a new panel unit root test with smooth and sharp structural breaks," Renewable Energy, Elsevier, vol. 205(C), pages 648-662.
    3. Lucio Sarno & Giorgio Valente, 2005. "Modelling and forecasting stock returns: exploiting the futures market, regime shifts and international spillovers," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(3), pages 345-376, March.
    4. 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.
    5. Lumengo BONGA-BONGA, 2010. "Modeling Stock Returns in the South African Stock Exchange: a Nonlinear Approach," EcoMod2010 259600034, EcoMod.
    6. Afsin Sahin, 2019. "Loom of Symmetric Pass-Through," Economies, MDPI, vol. 7(1), pages 1-25, February.
    7. Neil Kellard & John Nankervis & Fotis Papadimitriou, 2007. "Predicting the UK Equity Premium with Dividend Ratios: An Out-Of-Sample Recursive Residuals Graphical Approach," Money Macro and Finance (MMF) Research Group Conference 2006 129, Money Macro and Finance Research Group.
    8. Andreas Röthig, 2009. "Microeconomic Risk Management and Macroeconomic Stability," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-642-01565-6, December.
    9. Kulaksizoglu, Tamer & Kulaksizoglu, Sebnem, 2009. "The U.S. Excess Money Growth and Inflation Relation in the Long-Run: A Nonlinear Analysis," MPRA Paper 23780, University Library of Munich, Germany.
    10. Mei-Se Chien, 2013. "The Non-linear Ripple Effect of Housing Prices in Taiwan: A Smooth Transition Regressive Model," ERES eres2013_51, European Real Estate Society (ERES).

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