Abstract
We construct a model for daily, stock-individual trading volumes to forecast the number of shares traded on a one-day horizon. The model combines short term trend, long term trend and exogenous effects, such as earnings announcements and holidays. Kalman filter techniques are used for the evaluation and the estimation of
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