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Are Long‐Horizon Stock Returns Predictable? A Bootstrap Analysis

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  • Dimitrios Malliaropulos

Abstract

This paper examines empirical evidence of predictability of long‐horizon real and excess stock returns in the UK using univariate as well as multivariate Variance Ratio tests. In order to estimate the sampling distribution of the test statistics, artificial histories ofstock returns are generated from their empirical distribution using the bootstrap method. This allows the construction of significance levels of the test statistic which are free from distributional assumptions. The empirical results indicate that there is no evidence of mean reversion in stock prices even if a wider information set to forecast stock returns is used and that the significance of historical Variance Ratio statistics has been overstated by previous studies.

Suggested Citation

  • Dimitrios Malliaropulos, 1996. "Are Long‐Horizon Stock Returns Predictable? A Bootstrap Analysis," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 23(1), pages 93-106, January.
    • Handle: RePEc:bla:jbfnac:v:23:y:1996:i:1:p:93-106
    DOI: 10.1111/j.1468-5957.1996.tb00404.x
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    References listed on IDEAS

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