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Econometric analysis of volatile art markets

Author

Listed:
  • Bocart, Fabian
  • Hafner, Christian

Abstract

A new heteroskedastic hedonic regression model is suggested which takes into account time-varying volatility and is applied to a blue chips art market. A nonparametric local likelihood estimator is proposed, and this 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.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Bocart, Fabian & Hafner, Christian, 2012. "Econometric analysis of volatile art markets," LIDAM Reprints ISBA 2012020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    • Handle: RePEc:aiz:louvar:2012020
    Note: In : Computational Statistics and Data Analysis, vol. 56, no. 11, p. 3091-3104 (2012)
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    Cited by:

    1. repec:hum:wpaper:sfb649dp2011-072 is not listed on IDEAS
    2. Dominik Filipiak & Agata Filipowska, 2016. "Towards data oriented analysis of the art market: survey and outlook," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 12(1), pages 21-31, June.
    3. Bocart, Fabian Y. R. P. & Hafner, Christian M., 2012. "Volatility of price indices for heterogeneous goods," SFB 649 Discussion Papers 2012-039, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    4. repec:hum:wpaper:sfb649dp2011-082 is not listed on IDEAS
    5. Filipiak Dominik & Filipowska Agata, 2016. "Towards Data Oriented Analysis of the Art Market: Survey and Outlook," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 12(1), pages 21-31.
    6. Kim Oosterlinck, 2017. "Art as a Wartime Investment: Conspicuous Consumption and Discretion," Economic Journal, Royal Economic Society, vol. 127(607), pages 2665-2701, December.
    7. repec:hum:wpaper:sfb649dp2011-083 is not listed on IDEAS
    8. repec:hum:wpaper:sfb649dp2012-039 is not listed on IDEAS
    9. Bocart, Fabian Y.R.P. & Hafner, Christian M., 2015. "Fair Revaluation of Wine as an Investment," Journal of Wine Economics, Cambridge University Press, vol. 10(2), pages 190-203, November.
    10. repec:hum:wpaper:sfb649dp2013-018 is not listed on IDEAS
    11. repec:hum:wpaper:sfb649dp2011-071 is not listed on IDEAS
    12. Vecco, Marilena & Zanola, Roberto, 2017. "Don’t let the easy be the enemy of the good. Returns from art investments: What is wrong with it?," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 120-129.
    13. repec:hum:wpaper:sfb649dp2011-085 is not listed on IDEAS
    14. David Chambers & Elroy Dimson & Christophe Spaenjers, 0. "Art as an Asset: Evidence from Keynes the Collector," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(3), pages 490-520.
    15. repec:hum:wpaper:sfb649dp2011-084 is not listed on IDEAS
    16. Shailendra Gurjar & Usha Ananthakumar, 2023. "The economics of art: price determinants and returns on investment in Indian paintings," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 50(6), pages 839-859, January.

    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature

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