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Wine indices in practice: Nicely labeled but slightly corked

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  • Masset, Philippe
  • Weisskopf, Jean-Philippe

Abstract

This paper examines and compares wine price indices available on the wine market with those proposed in academia. We especially analyze the impact illiquidity has on the different indices and validate our findings using a simulation which allows us to define the biases induced by illiquidity on the statistical properties of the indices. We also propose adjustments to help market participants improve the reliability of wine indices and ultimately their decision-making. Our evidence indicates that both the volatility and the beta of fine wine is understated when estimated with existing wine index data. The true volatility and beta of the First Growths from Bordeaux appear to be close to 20%, respectively 0.45–0.60, suggesting that the diversification potential of fine wine is more limited than commonly believed.

Suggested Citation

  • Masset, Philippe & Weisskopf, Jean-Philippe, 2018. "Wine indices in practice: Nicely labeled but slightly corked," Economic Modelling, Elsevier, vol. 68(C), pages 555-569.
    • Handle: RePEc:eee:ecmode:v:68:y:2018:i:c:p:555-569
    DOI: 10.1016/j.econmod.2017.03.025
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    References listed on IDEAS

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    Cited by:

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    4. Pedro Antonio Martín-Cervantes & María del Carmen Valls Martínez, 2023. "Unraveling the relationship between betas and ESG scores through the Random Forests methodology," Risk Management, Palgrave Macmillan, vol. 25(3), pages 1-29, September.
    5. Eric Le Fur & Jean-François Outreville, 2019. "Fine wine returns: a review of the literature," Journal of Asset Management, Palgrave Macmillan, vol. 20(3), pages 196-214, May.
    6. Masset, Philippe & Maurer, Frantz, 2021. "Mitigating downside risk of portfolio diversification: Wine versus other tangible assets," Economic Modelling, Elsevier, vol. 102(C).
    7. Livat, Florine & Alston, Julian M. & Cardebat, Jean-Marie, 2019. "Do denominations of origin provide useful quality signals? The case of Bordeaux wines," Economic Modelling, Elsevier, vol. 81(C), pages 518-532.
    8. Ben Ameur, Hachmi & Le Fur, Eric, 2020. "Volatility transmission to the fine wine market," Economic Modelling, Elsevier, vol. 85(C), pages 307-316.
    9. Kleine, Jens & Peschke, Thomas & Wagner, Niklas, 2021. "Collectors: Personality between consumption and investment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).

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    More about this item

    Keywords

    Wine; Alternative asset; Liquidity; Monte-Carlo simulation; Repeat-sales regression;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

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