Developing a Volume Forecasting Model

Bogdan Batrinca, Christian W. Hesse and Philip C. Treleaven

Journal of Applied Finance & Banking, 2017, vol. 7, issue 1, 1

Abstract: This study builds a series of models to predict trading volume in European markets using different statistical methods. The analysis considers a number of aspects, such as special events (e.g. MSCI rebalances, futures expiries, or cross-market holidays), day-of-the-week effects, and the volume-price relation asymmetry, in order to perform contextual one-step ahead prediction. We investigate the prediction error for each calendar circumstance to infer a cross-stock event-oriented switching model for volume prediction. The study concludes by proposing a stock-specific out-of-sample metamodel that is fit by selecting an initial stock-specific model yielding the best performance for the most recent observations.JEL classification numbers: C32, C52, C53, G14, G15Keywords: Trading volume, expiry day effect, holiday effect, behavioral finance, European stock market, feature selection

Date: 2017
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