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Guarantees in Auctions: The Auction House as Negotiator and Managerial Decision Maker

Author

Listed:
  • Eric A. Greenleaf

    (New York University, Stern School of Business, 44 West 4th Street, New York, New York 10012)

  • Ambar G. Rao

    (University of Arizona, Karl Eller Graduate School of Management, McClelland Hall, Tucson, Arizona 85721)

  • Atanu R. Sinha

    (University of California at Los Angeles, Anderson Graduate School of Management, 405 Hilgard Avenue, Los Angeles, California 90024)

Abstract

The multimillion dollar price guarantees that an auction house can offer for paintings have already had a large impact on auction house profits, and place new demands on the auctioneer's decision making and negotiating skills. Yet auctioneers have not been studied as independent entities and decision makers. To create a price guarantee, the auction house and the seller must negotiate both the guarantee amount and the extra commission the seller pays if the auction price exceeds the guarantee. We present a normative model of negotiations and find the frontier of guarantee and commission that is the Nash bargaining solution. We also determine the optimal reserve that the auctioneer should place on guaranteed property. We find that guarantees decrease the auction house's expected revenue compared to a conventional auction, but do allow it to attract business which might otherwise be lost. Guarantees benefit sellers, increasing the expected value and lowering the variance of their auction revenue. The auctioneer's optimal strategy depends not only on the distribution of the artwork's auction price, but also the price it will bring if it fails to sell at auction. In the latter case the auction house must pay the seller the guarantee and then sell the artwork, which it now owns, in a private secondary market where buyers regard the property as "damaged goods" and lower their offers. Although all points on the frontier produce equal expected revenue, several frequently used decision making rules suggest that both parties may prefer a guarantee arrangement where the seller pays no additional commission and the guarantee has the lowest value on the frontier.

Suggested Citation

  • Eric A. Greenleaf & Ambar G. Rao & Atanu R. Sinha, 1993. "Guarantees in Auctions: The Auction House as Negotiator and Managerial Decision Maker," Management Science, INFORMS, vol. 39(9), pages 1130-1145, September.
  • Handle: RePEc:inm:ormnsc:v:39:y:1993:i:9:p:1130-1145
    DOI: 10.1287/mnsc.39.9.1130
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    Citations

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    Cited by:

    1. Toshihiro Tsuchihashi & Yusuke Zennyo, 2021. "Neutrality of buyer and seller commissions to auction house profit," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 209-218, January.
    2. Kathryn Graddy & Jonathan Hamilton, 2014. "Auction House Guarantees for Works of Art," ACEI Working Paper Series AWP-02-2014, Association for Cultural Economics International, revised May 2014.
    3. Bocart, Fabian Y.R.P. & Hafner, Christian M., 2012. "Econometric analysis of volatile art markets," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3091-3104.
    4. Eric A. Greenleaf & Jun. Ma & Wanhua. Qiu & Ambar G. Rao & Atanu R. Sinha, 2002. "Note on "Guarantees in Auctions: The Auction House as Negotiator and Managerial Decision Maker"," Management Science, INFORMS, vol. 48(12), pages 1640-1644, December.
    5. repec:hum:wpaper:sfb649dp2012-039 is not listed on IDEAS
    6. Pacharasut Sujarittanonta & Ajalavat Viriyavipart, 2021. "Deterring collusion with a reserve price: an auction experiment," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 536-557, June.
    7. Marie BLUM, 2021. "Auction hosts: are they really impartial?," Working Papers of LaRGE Research Center 2021-09, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    8. Bocart, Fabian & Hafner, Christian, 2012. "Volatility of price indices for heterogeneous goods," LIDAM Discussion Papers ISBA 2012019, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    9. Ernan Haruvy & Peter Popkowski Leszczyc & Octavian Carare & James Cox & Eric Greenleaf & Wolfgang Jank & Sandy Jap & Young-Hoon Park & Michael Rothkopf, 2008. "Competition between auctions," Marketing Letters, Springer, vol. 19(3), pages 431-448, December.
    10. Dass, Mayukh & Reddy, Srinivas K. & Iacobucci, Dawn, 2014. "A Network Bidder Behavior Model in Online Auctions: A Case of Fine Art Auctions," Journal of Retailing, Elsevier, vol. 90(4), pages 445-462.
    11. Wei Lim & Joo Lee-Partridge & Soo Tan, 2008. "Revenue implication of auction value in k-price sealed-bid auctions: An experimental study," Marketing Letters, Springer, vol. 19(1), pages 25-38, March.
    12. 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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