Out-of-Sample Industry Return Predictability: Evidence from a Large Number of Predictors

Author(s):  
David Rapach ◽  
Jack Strauss ◽  
Jun Tu ◽  
Guofu Zhou
2012 ◽  
Vol 37 (3) ◽  
pp. 461-479 ◽  
Author(s):  
Yiwen (Paul) Dou ◽  
David R. Gallagher ◽  
David Schneider ◽  
Terry S. Walter

2018 ◽  
Vol 44 (3) ◽  
pp. 10-24
Author(s):  
Giulia Dal Pra ◽  
Massimo Guidolin ◽  
Manuela Pedio ◽  
Fabiola Vasile

Author(s):  
Simon C Smith ◽  
Allan Timmermann

Abstract We develop a new approach to modeling and predicting stock returns in the presence of breaks that simultaneously affect a large cross-section of stocks. Exploiting information in the cross-section enables us to detect breaks in return prediction models with little delay and to generate out-of-sample return forecasts that are significantly more accurate than those from existing approaches. To identify the economic sources of breaks, we explore the asset pricing restrictions implied by a present value model which links breaks in return predictability to breaks in the cash flow growth and discount rate processes.


2016 ◽  
Vol 58 (3) ◽  
pp. 727-750
Author(s):  
Afsaneh Bahrami ◽  
Abul Shamsuddin ◽  
Katherine Uylangco

2016 ◽  
Vol 31 (2) ◽  
pp. 71-81
Author(s):  
Park Cheolbeom

This study shows that the poor out-of-sample performance of the real-time adjusted dividend-price ratio reported in Lettau and Nieuwerburgh (2008) is mainly a result of the gap period between the occurrence of a break and its detection, which implies that the poor out-of-sample performance of the adjusted dividend-price ratio is due to the requirement in Bai and Perron`s (1998) proce-dure that breaks must be away from the boundaries of the sample. A substantial improvement in the out-of-sample performance of the adjusted dividend-price ratio during the gap period is shown with the use of Andrews`s (2003) procedure in the real-time adjustment of the dividend-price ratio. The newly suggested procedure for the adjusted dividend-price ratio in this study has better out-of-sample performance than the simple sample mean, although it is not significant.


Sign in / Sign up

Export Citation Format

Share Document