Statistical methods are widely used for valuation (prediction of the value at sale or auction) of a unique object such as a work of art. The usual approach is estimation of a hedonic model for objects of a given class, such as paintings from a particular school or period, or in the context of...

We analyze the evolution of the price of paintings in London auctions with a unique dataset of over 200,000 sales in the period 1780-1840. We build a price index for the representative painting through hedonic regressions controlling for the characteristics of auctions and paintings and for the...

Aggregate art price patterns mask a lot of underlying variation — both in the time series and in the cross-section. We argue that, to increase our understanding of the market for aesthetics, it is helpful to take a micro perspective on the formation of art prices, and acknowledge that each...

This paper examines the risk-return characteristics of investment grade gems (white diamonds, colored diamonds and other types of gems including sapphires, rubies, and emeralds). The transactions are coming from gem auctions and span the period 1999-2012. Over our time frame, the annual nominal...

We study the impact of colors of paintings on prices in the art auction market and incorporate color attributes of non-figurative paintings in pricing models. A one standard deviation increase in the percentages of blue (red) hue leads to premiums of 10.63% (4.20%). We also conduct laboratory...

We analyze the guarantees that art-auction houses offer from an options viewpoint. This approach allows us to derive analytical expressions to value the positions involved in such arrangements. We further validate these formulas with a Monte Carlo simulation applied to a realistic example....

Focusing on the art market, where auction houses act as brokers between art sellers and buyers, we investigate whether more experienced brokers achieve better performance as information providers. We use a unique data set of auctions of Italian paintings in various houses around the world, and...

This paper investigates the informational content of aggregate prices in the fine arts auction market. A Mixed Data Sampling (MIDAS) modeling approach is proposed to forecast year-end art prices, using higher frequency variables related to the stock and bond markets and to art market sentiment....

We analyze organization of auctions and bidding strategies with a unique dataset on Paris auctions between 700s and 800s. Prices reflect the objective features of the paintings and of the sale, and they reveal a substantial death effect, with upward jumps in the years after the death of the...

We provide evidence that culture is a source of pricing bias. In a sample of 1.9 million auction transactions in 49 countries, paintings by female artists sell at an unconditional discount of 42.1%. The gender discount increases with measures of country-level gender inequality — even in artist...