Showing 1 - 4 of 4
We develop a framework for estimating expected returns---a <i>predictive system</i>---that allows predictors to be imperfectly correlated with the conditional expected return. When predictors are imperfect, the estimated expected return depends on past returns in a manner that hinges on the correlation...
Persistent link: https://www.econbiz.de/10012464843
The standard regression approach to modeling return predictability seems too restrictive in one way but too lax in another. A predictive regression models expected returns as an exact linear function of a given set of predictors but does not exploit the likely economic property that innovations...
Persistent link: https://www.econbiz.de/10012465843
-history assets, but for the shorter-history assets as well. To account for the remaining parameter uncertainty, or estimation risk … the value of using the combined sample of histories and accounting for estimation risk, as compared to truncating the … sample to produce equal-length histories or ignoring estimation risk by using maximum-likelihood estimates …
Persistent link: https://www.econbiz.de/10012472906
The predictability of monthly stock returns is investigated from the perspective of a risk-averse investor who uses the data to update initially vague beliefs about the conditional distribution of returns. The optimal stocks-versus-cash allocation of the investor can depend importantly on the...
Persistent link: https://www.econbiz.de/10012473901