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Forecasting Bordeaux wine prices using state-space methods

Author

Listed:
  • Stephen Bazen

    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique, AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Jean-Marie Cardebat

    (Larefi - Laboratoire d'analyse et de recherche en économie et finance internationales - UB - Université de Bordeaux)

Abstract

Generic Bordeaux red wine (basic claret) can be regarded as being similar to an agricultural commodity. Production volumes are substantial, they are traded at high frequency and the quality of the product is relatively homogeneous. Unlike other commodities and the top-end wines (which represent only 3% of the traded volume), there is no futures market for generic Bordeaux wine. Reliable forecasts of prices can to large extent replace this information deficiency and improve the functioning of the market. We use state-space methods with monthly data to obtain a univariate forecasting model for the average price. The estimates highlight the stochastic trend and the seasonality present in the evolution of the price over the period 1999 to 2016. The model predicts the path of wine prices out of sample reasonably well, suggesting that this approach is useful for making reasonably accurate forecasts of future price movements.

Suggested Citation

  • Stephen Bazen & Jean-Marie Cardebat, 2018. "Forecasting Bordeaux wine prices using state-space methods," Post-Print hal-01867216, HAL.
    • Handle: RePEc:hal:journl:hal-01867216
    DOI: 10.1080/00036846.2018.1472740
    Note: View the original document on HAL open archive server: https://amu.hal.science/hal-01867216
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    Cited by:

    1. Du, Shaofu & Chen, Yuan & Peng, Jing & Nie, Tengfei, 2022. "Incorporating risk fairness concerns into wine futures under quality uncertainty," Omega, Elsevier, vol. 113(C).
    2. Stephen Bazen & Jean-marie Cardebat, 2022. "Why have Bordeaux wine prices become so difficult to forecast?," Economics Bulletin, AccessEcon, vol. 42(1), pages 124-142.
    3. Paroissien, Emmanuel, 2020. "Forecasting bulk prices of Bordeaux wines using leading indicators," International Journal of Forecasting, Elsevier, vol. 36(2), pages 292-309.
    4. Mert Hakan Hekimoğlu & Burak Kazaz, 2020. "Analytics for Wine Futures: Realistic Prices," Production and Operations Management, Production and Operations Management Society, vol. 29(9), pages 2096-2120, September.
    5. Philippe Masset & Jean‐Philippe Weisskopf, 2022. "At what price should Bordeaux wines be released?," Economic Inquiry, Western Economic Association International, vol. 60(1), pages 392-412, January.

    More about this item

    Keywords

    forecasting; Wine prices; state-space methods; forecasting JEL CLASSIFICATION C53; L66; Q11;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco

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