This paper tests for predictability of output growth in a panel of 22 emerging market economies. We use pooled panel data methods that control for endogeneity and persistence in the predictor variables to test the predictive power of a large set of financial aggregates. Results show that stock...

This paper tests for predictability of output growth in a panel of twenty-two emerging market economies. We use pooled panel data methods that control for endogeneity and persistence in the predictor variables to test the predictive power of a large set of financial aggregates including...

This paper tests for predictability of output growth in a panel of 22 emerging market economies. We use pooled panel data methods that control for endogeneity and persistence in the predictor variables to test the predictive power of a large set of financial aggregates. Results show that stock...

We develop a stock return-predictive measure based on an efficient aggregation of the portfolio holdings of all actively managed U.S. domestic equity mutual funds, and use this model to study the source of fund managers' stock-selection abilities. This "generalized-inverse alpha" (GIA) approach...