Multiple Regression Model Averaging and the Focused Information Criterion With an Application to Portfolio Choice
多元回归模型平均与聚焦信息准则:投资组合选择应用
We consider multiple regression (MR) model averaging using the focused information criterion (FIC). Our approach is motivated by the problem of implementing a mean-variance portfolio choice rule. The usual approach is to estimate parameters ignoring the intention to use them in portfolio choice. We develop an estimation method that focuses on the trading rule of interest. Asymptotic distributions of submodel estimators in the MR case are derived using a localization…