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predictability, which we label "dividend momentum." Compared to estimation based on ordinary least squares, our restricted …
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predictability, which we label ``dividend momentum.'' Compared to estimation based on OLS, our restricted informative prior leads to …
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type prior for this parameter and compare our Bayesian approach to ordinary least squares estimation and to the reduced …
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In this paper, we apply machine learning to forecast the conditional variance of long-term stock returns measured in excess of different benchmarks, considering the short- and long-term interest rate, the earnings-by-price ratio, and the inflation rate. In particular, we apply in a two-step...
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