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Econometric analysis of volatile art markets

Fabian Y. R. P. Bocart () and Christian Hafner
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Fabian Y. R. P. Bocart: Université catholique de Louvain, Institut de statistique, biostatistique et sciences actuarielles, B-1348 Louvain-la-Neuve, Belgium

No 2011052, LIDAM Discussion Papers CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)

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.

Keywords: volatility; art markets; hedonic regession; semiparametric estimation (search for similar items in EconPapers)
Date: 2011-11-21
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Citations: View citations in EconPapers (11)

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https://sites.uclouvain.be/core/publications/coredp/coredp2011.html (application/pdf)

Related works:
Journal Article: Econometric analysis of volatile art markets (2012) Downloads
Working Paper: Econometric analysis of volatile art markets (2012)
Working Paper: Econometric analysis of volatile art markets (2011) Downloads
Working Paper: Econometric analysis of volatile art markets (2011) Downloads
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