This article examines how selected attributes of Bordeaux fine wines (producer, vintage, quality, bottle size, case, flaws, and transaction volume) affect prices in three types of trading venues: auctions, electronic exchange, and the over-the-counter (OTC) market. The findings indicate a price differentiation across the venues. Wine aging leads to relatively higher prices at auctions than on the electronic exchange or the OTC. There is a nearly linear relationship between prices and wine ratings, the strongest of which is found in the case of auctions. The bottle size effect is mostly positive for supersized formats and is the strongest on an electronic exchange and the weakest at auctions. The transaction volume negatively affects wine prices in all the trading venues. The simulation results facilitate the construction of more realistic trading models and may help traders make more informed decisions on the choice of a trading venue, depending on the wine characteristics. (JEL Classifications: D40, G12, Q14, L66)

In this paper, we explore the order book dynamics on the Liv-ex fine wine exchange. More specifically, by using the order book data, we examine new buy and sell order submissions and cancellations and various factors that may have an effect on the intensity of the trade process on both sides of the market. Our findings indicate the existence of significant relationships between the expected number of bids, offers, or order withdrawals and wine producers, contract type, bottle format, case size, weekday, and age. In particular, the wine age positively affects the buy and sell order submissions, but only up to a certain point, after which the number of orders starts to decrease. (JEL Classifications: D40, G12, G14, L66)