2002
DOI: 10.2139/ssrn.343782
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Efficient Tests of Stock Return Predictability

Abstract: Conventional tests of the predictability of stock returns could be invalid, that is reject the null too frequently, when the predictor variable is persistent and its innovations are highly correlated with returns. We develop a pretest to determine whether the conventional t-test leads to invalid inference and an efficient test of predictability that corrects this problem. Although the conventional t-test is invalid for the dividend-price and smoothed earnings-price ratios, our test finds evidence for predictab… Show more

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Cited by 274 publications
(538 citation statements)
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“…With respect to possible size distortions of t ‐statistics due to near‐unit root properties of the regressor, Elliott and Stock (1994) derive an alternative asymptotic theory in which they explicitly model the regressor as having a local‐to‐unit root. A number of recent finance papers apply this theory to the question of stock return predictability (see, e.g., Torous, Valkanov, and Yan (2001), Jansson and Moreira (2003), Campbell and Yogo (2005), and Polk, Thompson, and Vuolteenaho (2003)). Under this alternative methodology, the researcher can construct Bonferroni‐based tests that are robust to the persistence problem by directly incorporating Dickey‐Fuller (1979) confidence intervals around the autoregressive parameter.…”
Section: Resultsmentioning
confidence: 99%
“…With respect to possible size distortions of t ‐statistics due to near‐unit root properties of the regressor, Elliott and Stock (1994) derive an alternative asymptotic theory in which they explicitly model the regressor as having a local‐to‐unit root. A number of recent finance papers apply this theory to the question of stock return predictability (see, e.g., Torous, Valkanov, and Yan (2001), Jansson and Moreira (2003), Campbell and Yogo (2005), and Polk, Thompson, and Vuolteenaho (2003)). Under this alternative methodology, the researcher can construct Bonferroni‐based tests that are robust to the persistence problem by directly incorporating Dickey‐Fuller (1979) confidence intervals around the autoregressive parameter.…”
Section: Resultsmentioning
confidence: 99%
“…In equity markets, the evidence pertains to nominal interest rates. Fama and Schwert (1977) show that high nominal interest rates decrease future returns, a finding confirmed by Campbell and Yogo (2006). Using efficient tests of stock market predictability, they reject the null of no predictability for the nominal risk‐free rate at monthly and quarterly frequencies over the 1952 to 2002 period.…”
Section: Modelmentioning
confidence: 87%
“…Second, the model implies that price‐dividend ratios predict equity excess returns with a positive sign. The equity data, however, suggest either a negative sign, as in Lettau and Van Nieuwerburgh (2008), or no significant predictability at all, as in Campbell and Yogo (2006). Third, the model seems to overestimate the autocorrelation of real risk‐free rates.…”
Section: Simulationmentioning
confidence: 88%
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“…Table 1 provides the autocorrelations and correlations of the three predicting variables. All three variables have high autocorrelations, which suggests that the predictive regression may be biased, as suggested by Campbell and Yogo (2006) and Torus, Valkanov and Yan (2004). So the predictability results should be interpreted with caution.…”
Section: Data and Empirical Strategymentioning
confidence: 99%