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An options-based approach to analyze auction guarantees in the art market

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  • Charlin, Ventura
  • Cifuentes, Arturo

Abstract

Auction-house guarantees are becoming a common feature in the art market. We analyze these guarantees within the framework of financial options. This approach allows us to derive analytical (closed-form) expressions to value these positions, considering both, the case in which the painting is sold, and the case in which the painting goes unsold (“bought in”). In addition, we present several risk metrics that are useful to describe from an intuitive viewpoint the exposure of the auction house, and that of a third party (in case the auction house decides to layoff, fully or partially, the risk associated with offering such guarantees). We demonstrate that the expressions we derive satisfy the put-call parity relationship, and we further validate these formulas with a Monte Carlo simulation applied to a realistic example. We also show that the risk associated with such guarantees is lower than what is commonly believed by market practitioners, and we expose the dangers of relying on the Black-Scholes model to value such guarantees. Finally, having explicit expressions to assess the risk involved in these guarantees helps to bring more transparency to a notoriously opaque segment of the art market.

Suggested Citation

  • Charlin, Ventura & Cifuentes, Arturo, 2020. "An options-based approach to analyze auction guarantees in the art market," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
  • Handle: RePEc:eee:ecofin:v:51:y:2020:i:c:s1062940819304498
    DOI: 10.1016/j.najef.2019.101094
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    References listed on IDEAS

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    1. Simone Bertoli, 2015. "Does return migration influence fertility at home?," IZA World of Labor, Institute of Labor Economics (IZA), pages 204-204, November.
    2. Ashenfelter, Orley, 1989. "How Auctions Work for Wine and Art," Journal of Economic Perspectives, American Economic Association, vol. 3(3), pages 23-36, Summer.
    3. Alan Beggs & Kathryn Graddy, 1997. "Declining Values and the Afternoon Effect: Evidence from Art Auctions," RAND Journal of Economics, The RAND Corporation, vol. 28(3), pages 544-565, Autumn.
    4. Ginsburgh, Victor & Mei, Jianping & Moses, Michael, 2006. "The Computation of Prices Indices," Handbook of the Economics of Art and Culture, in: V.A. Ginsburgh & D. Throsby (ed.), Handbook of the Economics of Art and Culture, edition 1, volume 1, chapter 27, pages 947-979, Elsevier.
    5. Nauro F. Campos & Renata Leite Barbosa, 2009. "Paintings and numbers: an econometric investigation of sales rates, prices, and returns in Latin American art auctions," Oxford Economic Papers, Oxford University Press, vol. 61(1), pages 28-51, January.
    6. McAndrew, Clare & Thompson, Rex, 2007. "The collateral value of fine art," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 589-607, March.
    7. O. Chanel & L. A. Gerard-Varet & V. Ginsburgh, 1994. "Prices and Returns on Paintings: An Exercise on How to Price the Priceless," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 19(1), pages 7-21, June.
    8. Baumol, William J, 1986. "Unnatural Value: Or Art Investment as Floating Crap Game," American Economic Review, American Economic Association, vol. 76(2), pages 10-14, May.
    9. 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.
    10. Calin Valsan & Robert Sproule, 2006. "Hedonic Models and Pre-Auction Estimates: Abstract Art Revisited," Economics Bulletin, AccessEcon, vol. 26(5), pages 1-10.
    11. 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.
    12. He, Zhongzhi (Lawrence) & Zhu, Jie & Zhu, Xiaoneng, 2015. "Multi-factor volatility and stock returns," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 132-149.
    13. Orley Ashenfelter & Kathryn Graddy, 2003. "Auctions and the Price of Art," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 763-787, September.
    14. Deepa & Paresh K Narayan, "undated". "Are Indian Stock Returns Predictable?," Working Papers 2015_07, Deakin University, Department of Economics.
    15. Ventura Charlin & Arturo Cifuentes, 2017. "On the correlation between stocks and art market returns," Applied Economics Letters, Taylor & Francis Journals, vol. 24(2), pages 128-131, January.
    16. Tiwari, Aviral Kumar & Dar, Arif Billah & Bhanja, Niyati & Arouri, Mohamed & Teulon, Frédéric, 2015. "Stock returns and inflation in Pakistan," Economic Modelling, Elsevier, vol. 47(C), pages 23-31.
    17. repec:ebl:ecbull:v:26:y:2006:i:5:p:1-10 is not listed on IDEAS
    18. Graddy, Kathryn & Hamilton, Jonathan, 2017. "Auction guarantees for works of art," Journal of Economic Behavior & Organization, Elsevier, vol. 133(C), pages 303-312.
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    More about this item

    Keywords

    Art derivatives; Auction guarantees; Risk metrics; Risk management; Financial risk; Options valuation;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • G1 - Financial Economics - - General Financial Markets
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature

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