No abstract

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)

Previous studies show that decision makers (DMs) lie more to avoid a loss than achieve a gain. Two compelling mechanisms might explain this observation. One assumes that lying is a risky activity and relates to the shape of the monetary value function described by prospect theory, which assumes (a) increased risk taking for loss frames and (b) an asymmetry between the perceived values of losses and gains. The other relates to the importance of self‐esteem functions as expressed in self‐concept maintenance models, self‐esteem issues being weighed against monetary issues. This alternative explanation assumes that a loss frame serves as a factor lowering moral considerations. We report an experimental study presenting sets of lotteries to DMs, once in a moral context and once in a traditional probabilistic context. The results show that DMs take less risk when lotteries are presented in a moral context. It is also shown that DMs take more risk for losses than gains, this holding for both the moral and probabilistic contexts. This latter result suggests that loss/gain asymmetry can be completely explained by prospect theory factors, and framing makes no difference to the valuing of moral considerations.

This paper investigates the psychological background of the use of technical analysis in the financial markets. Such a background may give additional explanations to the popularity and common usage of technical analysis as an investment decision tool. This popularity is puzzling due to the missing theoretical and scientific background of technical analysis and the contradictory empirical evidence on its effectiveness. We postulate that overconfidence (regardless of its manifestation: calibration, better than average, and illusion of control) reinforces technical analysis usage. This hypothesis is tested in the present study conducted with professionals (traders in a proprietary trading company) and novices (finance students). The hypothesis received partial empirical support. Overconfidence-in particular the illusion of control-explains technical analysis usage in both investigated groups.

There is an ongoing discussion concerning the relationship between social welfare and climate change, and thus the required level and type of measures needed to protect the climate. Integrated assessment models (IAMs) have been extended to incorporate technological progress, heterogeneity and uncertainty, making use of a (stochastic) dynamic equilibrium approach in order to derive a solution. According to the literature, the IAM class of models does not take all the relationships among economic, social and environmental factors into account. Moreover, it does not consider these interdependencies at the micro-level, meaning that all possible consequences are not duly examined. Here, we propose an agent-based approach to analyse the relationship between economic welfare and climate protection. In particular, our aim is to examine how the decisions of individual agents, allowing for the trade-o between economic welfare and climate protection, influence the aggregated emergent economic behaviour. Using this model, we estimate a damage function, with values in the order %-% for °C temperature increase and having a linear (or slightly concave) shape. We show that the heterogeneity of the agents, technological progress and the damage function may lead to lower GDP growth rates and greater temperature-related damage than what is forecast by models with solely homogeneous (representative) agents.