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Econometric analysis of volatile art markets

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  • BOCART, Fabian Y. R. P.

    ()
    (Université catholique de Louvain, Institut de statistique, biostatistique et sciences actuarielles, B-1348 Louvain-la-Neuve, Belgium)

  • HAFNER, Christian

    ()
    (Université catholique de Louvain, CORE and Institut de statistique, biostatistique et sciences actuarielles, B-1348 Louvain-la-Neuve, Belgium)

Abstract

A new heteroskedastic hedonic regression model is suggested. It takes into account time-varying volatility and is applied to a blue chips art market. Furthermore, a nonparametric local likelihood estimator is used. This estimator is more precise than the often used dummy variables method. The empirical analysis reveals that errors are considerably non-Gaussian, and that a student distribution with time-varying scale and degrees of freedom does well in explaining deviations of prices from their expectation. The art price index is a smooth function of time and has a variability that is comparable to the volatility of stock indices.

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Bibliographic Info

Paper provided by Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) in its series CORE Discussion Papers with number 2011052.

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Date of creation: 21 Nov 2011
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Handle: RePEc:cor:louvco:2011052

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Keywords: volatility; art markets; hedonic regession; semiparametric estimation;

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Cited by:
  1. Nikolaus Hautsch & Julia Schaumburg & Melanie Schienle, 2011. "Financial Network Systemic Risk Contributions," SFB 649 Discussion Papers SFB649DP2011-072, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  2. Fabian Y. R. P. Bocart & Christian M. Hafner, 2011. "Econometric analysis of volatile art markets," SFB 649 Discussion Papers SFB649DP2011-071, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  3. Raffaele Fiocco, 2011. "Competition and regulation in a differentiated good market," SFB 649 Discussion Papers SFB649DP2011-084, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  4. Alena Myšičková & Song Song & Piotr Majer & Peter N.C. Mohr & Hauke R. Heekeren & Wolfgang K. Härdle, 2011. "Risk Patterns and Correlated Brain Activities. Multidimensional statistical analysis of fMRI data with application to risk patterns," SFB 649 Discussion Papers SFB649DP2011-085, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  5. Ulrich Horst & Michael Kupper & Andrea Macrina & Christoph Mainberger, 2011. "Continuous Equilibrium under Base Preferences and Attainable Initial Endowments," SFB 649 Discussion Papers SFB649DP2011-082, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  6. Patrick Cheridito & Ulrich Horst & Michael Kupper & Traian A. Pirvu, 2011. "Equilibrium Pricing in Incomplete Markets under Translation Invariant Preferences," SFB 649 Discussion Papers SFB649DP2011-083, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

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