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Measuring the Predictable Variation in Stock and Bond Returns

  • Kirby, Chris

Recent studies show that when a regression model is used to forecast stock and bond returns, the sample R [superscript 2] increases dramatically with the length of the return horizon. These studies argue, therefore, that long-horizon returns are highly predictable. This article presents evidence that suggests otherwise. Long-horizon regressions can easily yield large values of the sample R [superscript 2], even if the population R [superscript 2] is small or zero. Moreover, long-horizon regressions with a small or zero population R [superscript 2] can produce t-ratios that might be interpreted as evidence of strong predictability. In general, the analysis provides little support for the view that long-horizon returns are highly predictable. Article published by Oxford University Press on behalf of the Society for Financial Studies in its journal, The Review of Financial Studies.

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Article provided by Society for Financial Studies in its journal Review of Financial Studies.

Volume (Year): 10 (1997)
Issue (Month): 3 ()
Pages: 579-630

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Handle: RePEc:oup:rfinst:v:10:y:1997:i:3:p:579-630
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