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The Horizon Effect of Stock Return Predictability and Model Uncertainty on Portfolio Choice: UK Evidence

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We study how stock return's predictability and model uncertainty affect a rational buy-and-hold investor.s decision to allocate her wealth for different lengths of investment horizons in the UK market. We consider the FTSE All-Share Index as the risky asset, and the UK Treasury bill as the risk free asset in forming the investor's portfolio. We identify the most powerful predictors of the stock return by accounting for model uncertainty. We find that though stock return predictability is weak, it can still affect the investor's optimal portfolio decision over different investment horizons.

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  • Li, GuangJie, 2009. "The Horizon Effect of Stock Return Predictability and Model Uncertainty on Portfolio Choice: UK Evidence," Cardiff Economics Working Papers E2009/4, Cardiff University, Cardiff Business School, Economics Section, revised Aug 2009.
    • Handle: RePEc:cdf:wpaper:2009/4
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    Cited by:

    1. Catherine Georgiou, 2020. "The British Stock Market under the Structure of Market Capitalization Value: New Evidence on its Predictive Content," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 13(3), pages 56-69, December.
    2. Wade D. Pfau, 2012. "Long-term investors and valuation-based asset allocation," Applied Financial Economics, Taylor & Francis Journals, vol. 22(16), pages 1343-1353, August.

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    More about this item

    Keywords

    stock return predictability; portfolio choice; Bayesian Model Averaging; SUR model;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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