Multi-period-ahead forecasting with residual extrapolation and information sharing — Utilizing a multitude of retail series

Ozden Gur Ali and Efe Pinar

International Journal of Forecasting, 2016, vol. 32, issue 2, 502-517

Abstract: Multi-period sales forecasts are important inputs for operations at retail chains with hundreds of stores, and many different formats, customer segments and categories. In addition to the effects of seasonality, holidays and marketing, correlated random disturbances also affect sales across stores that share common characteristics.

Keywords: Multivariate time series; Sales forecasting; Panel data; Data mining; Regression; Retail; Multi-period ahead forecast (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:intfor:v:32:y:2016:i:2:p:502-517

DOI: 10.1016/j.ijforecast.2015.03.011

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