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Analysis of Auction Price Risk: An Empirical Study of the Australian Aboriginal Art Market

by Ilya Voytov

Abstract 

Auction theory economists have shown that auctions can be structured to maximize
the expected revenue to the seller. In this thesis, I show that they can also be
optimized to minimize the sellers’ risk through an understanding of the driving factors
behind seller’s auction price risk. I derive a general form equation for auction price
variance, and discuss how changes in the number of bidders and the type of bidders
affect the sellers’ auction risk. An empirical component of this paper takes data from
auction sales of Australian Aboriginal art and uses observed price variance to make
deductions about the underlying types of participating bidders.

Professor Neil De Marchi, Faculty Advisor

JEL Codes: C57, D44, D53, N27,

View thesis

Questions?

Undergraduate Program Assistant
Matthew Eggleston
dus_asst@econ.duke.edu

Director of the Honors Program
Michelle P. Connolly
michelle.connolly@duke.edu