The Good News and the Bad News about Long-run Stock Market Returns
dc.contributor.author | Robertson, Donald | en_GB |
dc.contributor.author | Wright, Stephen M. | en_GB |
dc.date.accessioned | 2004-06-16T16:05:49Z | |
dc.date.available | 2004-06-16T16:05:49Z | |
dc.date.created | 1998-10 | en_GB |
dc.date.issued | 2004-06-16T16:05:49Z | |
dc.identifier.uri | http://www.dspace.cam.ac.uk/handle/1810/412 | |
dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/412 | |
dc.description.abstract | If stock prices followed a random walk, uncertainty about future stock prices would be so great that the observed bias towards equities in long-term investment portfolios would be surprising. The good news is that if, as a growing body of research suggests, there is even a weak tendency for stationary valuation indicators to predict future stock prices, long-run returns can become markedly more predictable. This is illustrated in a cointegrating VAR, with Tobin?s q as one of the cointegrating relations. The bad news is a corollary of the good news: q and most other indicators point to massive at the end of 1997, and hence the prospect of weak stock prices well into the next century. | en_GB |
dc.format.extent | 618681 bytes | |
dc.format.mimetype | application/pdf | en_GB |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_GB | |
dc.publisher | Faculty of Economics | |
dc.relation.ispartofseries | Cambridge Working Papers in Economics | |
dc.rights | All Rights Reserved | en |
dc.rights.uri | https://www.rioxx.net/licenses/all-rights-reserved/ | en |
dc.subject.classification | Classification-JEL: C32, C52, E44, G10, G14 | en_GB |
dc.subject.other | Stock prices, Random walk, Cointegration, Vector autoregressions, Tobin's q, Efficiency | en_GB |
dc.title | The Good News and the Bad News about Long-run Stock Market Returns | en_GB |
dc.type | Working Paper | en |
dc.identifier.doi | 10.17863/CAM.5034 |
Files in this item
This item appears in the following Collection(s)
-
Cambridge Working Papers in Economics (CWPE)
A new series of papers from the Faculty of Economics and the Department of Applied Economics, which supersedes the DAE Working Paper series