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Rev Fin 1997; 10:579-630
© 1997 the Society for Financial Studies
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Measuring the predictable variation in stock and bond returns
School of Management, University of Texas at Dallas, Richardson, TX 75083-0688, USA
Abstract
Recent studies show that when a regression model is used to forecast stock and bond returns, the sample R2 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 R2, even if the populations R2 is smaller or zero. Moreover, long-horizon regressions with a small or zero population R2 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.
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