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)
Fine wine has become an attractive alternative asset class in recent decades. In our study, we take the market microstructural perspective and verify how innovations in trading infrastructure affect the fine wine market. More specifically, we examine the average prices and the return volatility of fine wines traded on three different trading systems: automated electronic exchange, auctions and over-the-counter agreements (the OTC market). Our findings confirm an important role of a fully automated, cost-effective wine exchange in improving pricing efficiency and reducing market risk. This may constitute useful information for professional wine traders and institutional investors, who might consider shifting from less transparent trading systems into an automated on-book venue. This may also be a valuable indication for the future development of trading infrastructure in wine and other agricultural commodity markets.
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)
The paper focuses on detection of rational speculative bubbles in fine wineinvestment market. Our research was conducted using recursive tests. The chosenmethod additionally allowed us to set time frames for potential bubbles. Theresults have shown that speculative bubble episodes appeared between 2006–2007both in fine wine market and in most of selected traditional stock exchanges.However, only the fine wine market recorded the second wave of speculativebubbles between 2010–2011.
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