Abstract
In this study, we show that global composite stock selection models and earnings forecasting can be effectively implemented using fundamental and statistical risk models and traditional mean-variance portfolios, enhanced index-tracking portfolios, and Tracking-Error-at-Risk portfolios.
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A Note Regarding the Further Analysis of Efficient Portfolios with the GLER Data
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