Predictive regressions are linear specifications linking a noisy variable such as stock returns to past values of a more persistent regressor with the aim of assessing the presence of predictability. Key complications that arise are the potential presence of endogeneity and the poor adequacy of asymptotic approximations. In this paper we develop tests for uncovering the presence of predictability in such models when the strength or direction of predictability may alternate across different economically meaningful episodes. An empirical application reconsiders the Dividend Yield based return predictability and documents a strong predictability that is countercyclical, occurring solely during bad economic time
We investigate the stability of predictive regression models for the U.S. equity premium. A new appr...
Predictive regressions are a widely used econometric environment for assessing the predictability of...
Financial theory and econometric methodology both struggle in formulating models that are logically ...
Predictive regressions are linear specifications linking a noisy variable such as stock returns to ...
Predictive regressions are linear specifications linking a noisy variable such as stock returns to p...
Predictive regressions are linear specifications linking a noisy variable such as stock returns to p...
Predictive regressions are linear specifications linking a noisy variable such as stock returns to p...
Predictive regressions are linear specifications linking a noisy variable such as stock returns to p...
We develop tests for detecting possibly episodic predictability induced by a persistent predictor. O...
Predictive regressions are a widely used econometric environment for assessing the predictability of...
This study examines stock return predictability via lagged financial variables with unknown stochast...
We develop tests for detecting possibly episodic predictability induced by a persistent predictor. O...
<p>We develop tests for detecting possibly episodic predictability induced by a persistent predictor...
This study examines stock return predictability via lagged financial variables with unknown stochast...
We investigate the stability of predictive regression models for the U.S. equity premium. A new appr...
Predictive regressions are a widely used econometric environment for assessing the predictability of...
Financial theory and econometric methodology both struggle in formulating models that are logically ...
Predictive regressions are linear specifications linking a noisy variable such as stock returns to ...
Predictive regressions are linear specifications linking a noisy variable such as stock returns to p...
Predictive regressions are linear specifications linking a noisy variable such as stock returns to p...
Predictive regressions are linear specifications linking a noisy variable such as stock returns to p...
Predictive regressions are linear specifications linking a noisy variable such as stock returns to p...
We develop tests for detecting possibly episodic predictability induced by a persistent predictor. O...
Predictive regressions are a widely used econometric environment for assessing the predictability of...
This study examines stock return predictability via lagged financial variables with unknown stochast...
We develop tests for detecting possibly episodic predictability induced by a persistent predictor. O...
<p>We develop tests for detecting possibly episodic predictability induced by a persistent predictor...
This study examines stock return predictability via lagged financial variables with unknown stochast...
We investigate the stability of predictive regression models for the U.S. equity premium. A new appr...
Predictive regressions are a widely used econometric environment for assessing the predictability of...
Financial theory and econometric methodology both struggle in formulating models that are logically ...