Predicting returns and volatility with macroeconomic variables: evidence from tests of encompassing
✍ Scribed by Robert Sollis
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 82 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0277-6693
- DOI
- 10.1002/for.956
No coin nor oath required. For personal study only.
✦ Synopsis
Tests of forecast encompassing are used to evaluate one-step-ahead forecasts of S&P Composite index returns and volatility. It is found that forecasts over the 1990s made from models that include macroeconomic variables tend to be encompassed by those made from a benchmark model which does not include macroeconomic variables. However, macroeconomic variables are found to add significant information to forecasts of returns and volatility over the 1970s. Often in empirical research on forecasting stock index returns and volatility, in-sample information criteria are used to rank potential forecasting models. Here, none of the forecasting models for the 1970s that include macroeconomic variables are, on the basis of information criteria, preferred to the relevant benchmark specification. Thus, had investors used information criteria to choose between the models used for forecasting over the 1970s considered in this paper, the predictability that tests of encompassing reveal would not have been exploited.