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Article dans une revue International Journal of Forecasting Année : 2020

Forecasting bulk prices of Bordeaux wines using leading indicators

Résumé

Agricultural price forecasting has been being abandoned progressively by researchers ever since the development of large-scale agricultural futures markets. However, as with many other agricultural goods, there is no futures market for wine. This paper draws on the agricultural prices forecasting literature to develop a forecasting model for bulk wine prices. The price data include annual and monthly series for various wine types that are produced in the Bordeaux region. The predictors include several leading economic indicators of supply and demand shifts. The stock levels and quantities produced are found to have the highest predictive power. The preferred annual and monthly forecasting models outperform naive random walk forecasts by 27.1% and 3.4% respectively; their mean absolute percentage errors are 2.7% and 3.4% respectively. A simple trading strategy based on monthly forecasts is estimated to increase profits by 3.3% relative to a blind strategy that consists of always selling at the spot price.
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Dates et versions

hal-02408202, version 1 (12-12-2019)

Identifiants

Citer

Emmanuel Paroissien. Forecasting bulk prices of Bordeaux wines using leading indicators. International Journal of Forecasting, 2020, 36 (2), pp.292-309. ⟨10.1016/j.ijforecast.2019.04.021⟩. ⟨hal-02408202⟩
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Dernière date de mise à jour le 20/04/2024
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