Previous studies identify predetermined variables that predict stock and bond returns through time. This paper shows that loadings on the same variables provide significant cross-sectional explanatory power for stock portfolio returns. The loadings are significant given the three factors...

Even though stock returns are not highly autocorrelated, there is a spurious regression bias in predictive regressions for stock returns related to the classic studies of <link rid="b49">Yule (1926)</link> and <link rid="b21">Granger and Newbold (1974)</link>. Data mining for predictor variables interacts with spurious regression bias. The...

We study the properties of unconditional minimum-variance portfolios in the presence of conditioning information. Such portfolios attain the smallest variance for a given mean among all possible portfolios formed using the conditioning information. We provide explicit solutions for "n" risky...