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Is Wine A Safe-Haven? Evidence From A Nonparametric Causality-In-Quantiles Test

Author

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  • Nikolaos Antonakakis

    (Department of Business and Management, Webster Vienna Private University, Vienna, Austria)

  • Mehmet Balcilar

    (Department of Economics, Eastern Mediterranean University, Famagusta, via Mersin 10, Northern Cyprus, Turkey)

  • Elie Bouri

    (USEK Business School, Holy Spirit University of Kaslik, Jounieh, Lebanon)

  • Rangan Gupta

    (Department of Economics, University of Pretoria, Pretoria, South Africa)

Abstract

Unlike the extant literature on safe-havens, where one aims to relate the movements in an asset considered with extreme episodes in equity markets, we test this property for fine wine, by relating it to global uncertainty. Using a nonparametric k-th order causality-in-quantiles test, we show that, while uncertainty does affect returns and/or variance of the alternative wine indices considered, this effect is restricted to only certain parts of the conditional distribution. In particular, wine seems to be unaffected by global uncertainty, and hence, acts as a safe-haven at extreme ends of the market, i.e., during bear or bullish times; but not during normal times (around the median of the conditional distribution of returns and/or volatility).

Suggested Citation

  • Nikolaos Antonakakis & Mehmet Balcilar & Elie Bouri & Rangan Gupta, 2018. "Is Wine A Safe-Haven? Evidence From A Nonparametric Causality-In-Quantiles Test," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 95-114, December.
  • Handle: RePEc:aag:wpaper:v:22:y:2018:i:1:p:95-114
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    References listed on IDEAS

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    1. Balcilar, Mehmet & Gupta, Rangan & Pierdzioch, Christian, 2016. "Does uncertainty move the gold price? New evidence from a nonparametric causality-in-quantiles test," Resources Policy, Elsevier, vol. 49(C), pages 74-80.
    2. Mehmet Balcilar & Stelios Bekiros & Rangan Gupta, 2017. "The role of news-based uncertainty indices in predicting oil markets: a hybrid nonparametric quantile causality method," Empirical Economics, Springer, vol. 53(3), pages 879-889, November.
    3. Bredin, Don & Conlon, Thomas & Potì, Valerio, 2015. "Does gold glitter in the long-run? Gold as a hedge and safe haven across time and investment horizon," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 320-328.
    4. Masset, Philippe & Henderson, Caroline, 2010. "Wine as an Alternative Asset Class," Journal of Wine Economics, Cambridge University Press, vol. 5(1), pages 87-118, April.
    5. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    6. Sanning, Lee W. & Shaffer, Sherrill & Sharratt, Jo Marie, 2008. "Bordeaux Wine as a Financial Investment," Journal of Wine Economics, Cambridge University Press, vol. 3(1), pages 51-71, April.
    7. Ali, Héla Hadj & Lecocq, Sébastien & Visser, Michael, 2010. "The Impact of Gurus: Parker Grades and en primeur Wine Prices," Journal of Wine Economics, Cambridge University Press, vol. 5(1), pages 22-39, April.
    8. Bouri, Elie I. & Roubaud, David, 2016. "Fine Wines and Stocks from the Perspective of UK Investors: Hedge or Safe Haven?," Journal of Wine Economics, Cambridge University Press, vol. 11(2), pages 233-248, August.
    9. Bredin, Don & Conlon, Thomas & Potì, Valerio, 2017. "The price of shelter - Downside risk reduction with precious metals," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 48-58.
    10. Ciner, Cetin & Gurdgiev, Constantin & Lucey, Brian M., 2013. "Hedges and safe havens: An examination of stocks, bonds, gold, oil and exchange rates," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 202-211.
    11. Chuliá, Helena & Gupta, Rangan & Uribe, Jorge M. & Wohar, Mark E., 2017. "Impact of US uncertainties on emerging and mature markets: Evidence from a quantile-vector autoregressive approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 178-191.
    12. Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March.
    13. Jeong, Kiho & Härdle, Wolfgang K. & Song, Song, 2012. "A Consistent Nonparametric Test For Causality In Quantile," Econometric Theory, Cambridge University Press, vol. 28(4), pages 861-887, August.
    14. Low, Rand Kwong Yew & Yao, Yiran & Faff, Robert, 2016. "Diamonds vs. precious metals: What shines brightest in your investment portfolio?," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 1-14.
    15. Nishiyama, Yoshihiko & Hitomi, Kohtaro & Kawasaki, Yoshinori & Jeong, Kiho, 2011. "A consistent nonparametric test for nonlinear causality—Specification in time series regression," Journal of Econometrics, Elsevier, vol. 165(1), pages 112-127.
    16. Kourtis, Apostolos & Markellos, Raphael N. & Psychoyios, Dimitris, 2012. "Wine price risk management: International diversification and derivative instruments," International Review of Financial Analysis, Elsevier, vol. 22(C), pages 30-37.
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    1. Kola Ijasan & Peterson Owusu Junior & George Tweneboah & Tunbosun Oyedokun & Anokye M. Adam, 2021. "Analysing the relationship between global REITs and exchange rates: Fresh evidence from frequency-based quantile regressions," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(3), pages 58-91, September.

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    More about this item

    Keywords

    Wine Returns and Volatility; Global Uncertainty; Safe-Haven; Nonparametric; Quantile Causality;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market

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