… prediction markets derives from the efficient markets hypothesis. In a truly efficient prediction
market, the market … be used to improve on the market-generated forecasts. This statement …

… that such markets can help to produce forecasts of event outcomes with a lower prediction
error than conventional forecasting methods. For example, prediction market prices can be …

… This paper presents an attempt to study and monitor the evolution of research on prediction
markets (PM). It provides an extended literature review and classification scheme. The …

… market-aggregated forecasts. This article summarizes the recent literature on prediction
markets, … emphasize the possibility that these markets efficiently aggregate disperse information, …

… of prediction markets. Today, after another seven years of academic prediction market
research, … of Journal of Prediction Markets to understand the further developments and trends in …

… with prediction markets we are aware of. In this paper, we illustrate how markets can be
used to study how an organization processes information. We show that market participants are …

… This paper discusses a series of prediction markets created and operated in the … prediction
markets in a field with no established “experts” and with little popular attraction. Such a market …

… markets become decision support systems. We argue that both prediction and conditional
prediction markets … conditional decision markets: the IEM conditional prediction markets for the …

… market themselves before he does, thereby erasing the profit opportunity. In a prediction
market, as in any financial market, … In this way, the prediction market provides incentives for both …

… Then the researchers set up a prediction market for each study, and gave the same … “I can
create a poll that can mimic everything about a prediction market,” he says. “Except markets …