Reconciling the return predictability evidence

成果类型:
Article
署名作者:
Lettau, Martin; Van Nieuwerburgh, Stijn
署名单位:
New York University; Center for Economic & Policy Research (CEPR); National Bureau of Economic Research; Columbia University
刊物名称:
REVIEW OF FINANCIAL STUDIES
ISSN/ISSBN:
0893-9454
DOI:
10.1093/rfs/hhm074
发表日期:
2008
页码:
1606
关键词:
DIVIDEND YIELDS equity premium stock returns time-series regressions consumption RISK models
摘要:
Evidence of stock-return predictability by financial ratios is still controversial, as documented by inconsistent results for in-sample and out-of-sample regressions and by substantial parameter instability. This article shows that these seemingly incompatible results can be reconciled if the assumption of a fixed steady state mean of the economy is relaxed. We find strong empirical evidence in support of shifts in the steady state and propose simple methods to adjust financial ratios for such shifts. The in-sample forecasting relationship of adjusted price ratios and future returns is statistically significant and stable over time. In real time, however, changes in the steady state make the in-sample return forecastability hard to exploit out-of-sample. The uncertainty of estimating the size of steady-state shifts rather than the estimation of their dates is responsible for the difficulty of forecasting stock returns in real time. Our conclusions hold for a variety of financial ratios and are robust to changes in the econometric technique used to estimate shifts in the steady state.
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