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Pricing the Information Quantity in Artworks

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  • Lan Ju
  • Zhiyong Tu
  • Changyong Xue

Abstract

In the traditional art pricing models, the variables that capture the painting's content are often missing. Recent research starts to apply the computer graphic techniques to extract the information from the painting content. Most of the research concentrates on the reading of the color information from the painting images and analyzes how different color compositions can affect the sales prices of paintings. This paper takes a different approach, and tries to abstract away from the interpretation of the content information, while only focus on measuring the quantity of information contained. We extend the concept of Shannon entropy in information theory to the painting's scenario, and suggest using the variances of a painting's composing elements, i.e., line, color, value, shape/form and space, to measure the amount of information in the painting. These measures are calculated at the pixel level based on a picture's digital image. We include them into the traditional hedonic regression model to test their significance based on the auction samples from two famous artists (Picasso and Renoir). We find that all the variance measurements can significantly explain the sales price either at 1% or 5% level. The adjusted R square is also increased by more than ten percent. Our method greatly improves the traditional pricing models, and may also find applications in other areas such as art valuation and authentication.

Suggested Citation

  • Lan Ju & Zhiyong Tu & Changyong Xue, 2020. "Pricing the Information Quantity in Artworks," Papers 2011.09129, arXiv.org.
  • Handle: RePEc:arx:papers:2011.09129
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    References listed on IDEAS

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    1. Luc Renneboog & Christophe Spaenjers, 2013. "Buying Beauty: On Prices and Returns in the Art Market," Management Science, INFORMS, vol. 59(1), pages 36-53, February.
    2. Goetzmann, William N, 1993. "Accounting for Taste: Art and the Financial Markets over Three Centuries," American Economic Review, American Economic Association, vol. 83(5), pages 1370-1376, December.
    3. Marilena Biey & Roberto Zanola, 2005. "The Market for Picasso Prints: A Hybrid Model Approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 29(2), pages 127-136, May.
    4. Elena Stepanova, 2019. "The impact of color palettes on the prices of paintings," Empirical Economics, Springer, vol. 56(2), pages 755-773, February.
    5. Ginsburgh, Victor & Radermecker, Anne-Sophie & Tommasi, Denni, 2019. "The effect of experts’ opinion on prices of art works: The case of Peter Brueghel the Younger," Journal of Economic Behavior & Organization, Elsevier, vol. 159(C), pages 36-50.
    6. Elisabetta Lazzaro, 2006. "Assessing quality in cultural goods: The hedonic value of originality in Rembrandt’s prints," ULB Institutional Repository 2013/149123, ULB -- Universite Libre de Bruxelles.
    7. Pownall, Rachel A.J. & Graddy, Kathryn, 2016. "Pricing color intensity and lightness in contemporary art auctions," Research in Economics, Elsevier, vol. 70(3), pages 412-420.
    8. Chanel, Olivier, 1995. "Is art market behaviour predictable?," European Economic Review, Elsevier, vol. 39(3-4), pages 519-527, April.
    9. Taylor, Dominic & Coleman, Les, 2011. "Price determinants of Aboriginal art, and its role as an alternative asset class," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1519-1529, June.
    10. Corinna Czujack & Maria Fraga Martins, 2004. "Do art specialists form unbiased pre-sale estimates? An application for Picasso paintings," Applied Economics Letters, Taylor & Francis Journals, vol. 11(4), pages 245-249.
    11. Pesando, James E, 1993. "Art as an Investment: The Market for Modern Prints," American Economic Review, American Economic Association, vol. 83(5), pages 1075-1089, December.
    12. Jianping Mei & Michael Moses, 2002. "Art as an Investment and the Underperformance of Masterpieces," American Economic Review, American Economic Association, vol. 92(5), pages 1656-1668, December.
    13. Elisabetta Lazzaro, 2006. "Assessing Quality in Cultural Goods: The Hedonic Value of Originality in Rembrandt's Prints," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 30(1), pages 15-40, March.
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    Cited by:

    1. Stephen Sheppard, 2021. "Image Content, Complexity, and the Market Value of Art," Department of Economics Working Papers 2021-08, Department of Economics, Williams College.

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