A Recursive Modelling Approach to Predicting UK Stock Returns'
Using a recursive modelling procedure which generalises existing methods for simulating investors' search in `real time' for a model that can forecast stock returns, the authors demonstrate the extent to which monthly stock returns in the UK were predictable during the period 1970-1993. Owing to a set of unique historical circumstances, UK stock returns were extremely volatile in 1974-5, and the authors discuss how to design a modelling approach which aims to account for this episode. Evidence is found of both long-term and short-term predictability in UK stock returns, which could have been exploited by investors to improve on the risk-return trade-off offered by a passive strategy in the market portfolio.
| Year of publication: |
1996
|
|---|---|
| Authors: | Pesaran, M. H. ; Timmermann, A. |
| Institutions: | Faculty of Economics, University of Cambridge |
Saved in:
Saved in favorites
Similar items by person
-
Variable selection, estimation and inference for multi-period forecasting problems
Pesaran, M. Hashem, (2011)
-
Testing Dependence Among Serially Correlated Multi-Category Variables
Pesaran, M. Hashem, (2008)
-
Learning, Structural Instability and Present Value Calculations
Pesaran, M. Hashem, (2012)
- More ...