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Herding behavior among wine investors

Author

Listed:
  • Beysül Aytaç

    (MRM - Montpellier Research in Management - UPVM - Université Paul-Valéry - Montpellier 3 - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School - UM - Université de Montpellier)

  • Guillaume Coqueret

    (MRM - Montpellier Research in Management - UPVM - Université Paul-Valéry - Montpellier 3 - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School - UM - Université de Montpellier)

  • Cyrille Mandou

Abstract

We propose a detailed and comprehensive examination of the two main regression-based techniques used to detect herding among investors. We also introduce a novel approach based on the autocorrelation of returns. We test all models on a unique dataset of wine prices. For the first two models, our conclusions highlight the importance of macroeconomic variables (US equities) on the dispersion of wine returns. Thus, if wine investors herd, it is essentially because of external contingencies and they are not driven by the state of the wine market itself. The third (new) model seems to indicate that there is at most weak evidence of herding and the conclusions are robust when controlling for the state of the US equity market.

Suggested Citation

  • Beysül Aytaç & Guillaume Coqueret & Cyrille Mandou, 2018. "Herding behavior among wine investors," Post-Print hal-02011061, HAL.
    • Handle: RePEc:hal:journl:hal-02011061
    DOI: 10.1016/j.econmod.2017.07.022
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    Citations

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    Cited by:

    1. Ren, Boru & Lucey, Brian, 2023. "Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model," Energy Economics, Elsevier, vol. 119(C).
    2. Dubois, Magalie, 2021. "The market for wine quality evaluation: evolution and future perspectives," Working Papers 321855, American Association of Wine Economists.
    3. 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.
    4. Masset, Philippe & Weisskopf, Jean-Philippe & Cardebat, Jean-Marie & Faye, Benoît & Le Fur, Eric, 2021. "Analyzing the risks of an illiquid and global asset: The case of fine wine," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 1-25.
    5. Masset, Philippe & Maurer, Frantz, 2021. "Mitigating downside risk of portfolio diversification: Wine versus other tangible assets," Economic Modelling, Elsevier, vol. 102(C).
    6. Goldbaum, David, 2021. "The origins of influence," Economic Modelling, Elsevier, vol. 97(C), pages 380-396.
    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. Zaremba, Adam & Szyszka, Adam & Karathanasopoulos, Andreas & Mikutowski, Mateusz, 2021. "Herding for profits: Market breadth and the cross-section of global equity returns," Economic Modelling, Elsevier, vol. 97(C), pages 348-364.
    9. Ben Ameur, Hachmi & Le Fur, Eric, 2020. "Volatility transmission to the fine wine market," Economic Modelling, Elsevier, vol. 85(C), pages 307-316.
    10. Kleine, Jens & Peschke, Thomas & Wagner, Niklas, 2021. "Collectors: Personality between consumption and investment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    11. Lukas Richau & Florian Follert & Monika Frenger & Eike Emrich, 2021. "The sky is the limit?! Evaluating the existence of a speculative bubble in European football," Journal of Business Economics, Springer, vol. 91(6), pages 765-796, August.

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