Semi-parametric Estimation and the Predictability of Stock Market Returns: Some Lessons from Japan

Enrique Sentana and Sushil Wadhwani

The Review of Economic Studies, 1991, vol. 58, issue 3, 547-563

Abstract: The paper attempts to explore whether lagged variables that help predict stock returns are merely proxying for mis-measured risk. Therefore, three different ways of measuring risk are employed (i.e. semi-parametric, GARCH and lagged squared returns). In an application to Japanese data, four key predictor variables are shown to have non-trivial additional forecasting power irrespective of how we measure risk. Interestingly, unlike the U.S., the level of the lagged dividend yield is not positively correlated with returns in either Japan or South Korea.

Date: 1991
References: Add references at CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://hdl.handle.net/10.2307/2298011 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:restud:v:58:y:1991:i:3:p:547-563.

Access Statistics for this article

The Review of Economic Studies is currently edited by Thomas Chaney, Xavier d’Haultfoeuille, Andrea Galeotti, Bård Harstad, Nir Jaimovich, Katrine Loken, Elias Papaioannou, Vincent Sterk and Noam Yuchtman

More articles in The Review of Economic Studies from Review of Economic Studies Ltd
Bibliographic data for series maintained by Oxford University Press ().