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The Sculpture Market: An Adjacent Year Regression Index

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  • Marilena Locatelli-Biey
  • Roberto Zanola

Abstract

This paper analyses the performance of an investment in sculpture during theperiod 1987–1995 by applying the hedonic price technique with time dummyvariables to a sample of over 27,000 sales at auctions. The main finding isthat the adjacent year price index differs substantially between theinexpensive/middle portfolio and the expensive portfolio. The first showsthe existence of a boom period until 1990, followed by a non boom period. Bycontrast, the return of an investment in the expensive portfolio performedsomewhat better during the period analysed, with the only fall in the priceindex in 1990 and 1991. Copyright Kluwer Academic Publishers 2002

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  • Marilena Locatelli-Biey & Roberto Zanola, 2002. "The Sculpture Market: An Adjacent Year Regression Index," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 26(1), pages 65-78, February.
    • Handle: RePEc:kap:jculte:v:26:y:2002:i:1:p:65-78
    DOI: 10.1023/A:1013309816736
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    3. Michel Clement & Anke Lepthien & Tim Schulze, 2016. "Erfolgsfaktoren bei der Vermarktung von Kunst [Success Factors for Marketing of Arts]," Schmalenbach Journal of Business Research, Springer, vol. 68(4), pages 377-400, December.
    4. 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.
    5. Kompa Krzysztof & Witkowska Dorota, 2014. "Construction Of Hedonic Price Index For The “Most Liquid” Polish Painters," Folia Oeconomica Stetinensia, Sciendo, vol. 14(2), pages 76-100, December.
    6. Abderazak Bakhouche & Ludovic P.J. Thebault, 2011. "What Determines Cézanne’S Art Pricing? A Hedonic Regression Method," Analele Stiintifice ale Universitatii "Alexandru Ioan Cuza" din Iasi - Stiinte Economice (1954-2015), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 58, pages 515-532, november.
    7. Douglas J. Hodgson & Keith P. Vorkink, 2004. "Asset pricing theory and the valuation of Canadian paintings," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 37(3), pages 629-655, August.
    8. Erdos, Péter & Ormos, Mihály, 2010. "Random walk theory and the weak-form efficiency of the US art auction prices," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 1062-1076, May.
    9. Victor Ginsburgh & Jianping Mei & Michael Moses, 2006. "On the computation of art indices in art," ULB Institutional Repository 2013/7290, ULB -- Universite Libre de Bruxelles.
    10. Bertacchini, Enrico & Friel, Martha, 2014. "Determining the Value of Modern and Contemporary Furniture Design: an Exploratory Investigation," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201437, University of Turin.
    11. McQuillan, William & Lucey, Brian, 2016. "The validity of Islamic art as an investment," Research in International Business and Finance, Elsevier, vol. 36(C), pages 388-401.
    12. Assaf, Ata, 2018. "Testing for bubbles in the art markets: An empirical investigation," Economic Modelling, Elsevier, vol. 68(C), pages 340-355.
    13. Patrick Georges & Aylin Seçkin, 2012. "Auction Prices of Classical Music Manuscripts – A Hedonic Approach," Working Papers 1202E, University of Ottawa, Department of Economics.
    14. Patrick Georges & Aylin Seçkin, 2013. "Black notes and white noise: a hedonic approach to auction prices of classical music manuscripts," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(1), pages 33-60, February.
    15. Ormos, Mihály & Erdős, Péter, 2011. "Borok mint alternatív befektetési lehetőségek [Wines as an alternative investment]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 158-172.

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