To What Extent do Investors in a Financial Market Anchor Their Judgments? Evidence from the Hong Kong Horserace Betting Market

This paper explores the use of the anchoring and adjustment heuristic by decision makers in a financial market; in particular, the degree to which horserace bettors anchor their probability judgments on the advantage afforded by a horse‟s barrier-position. The results suggest that under certain conditions bettors anchor on barrier-position information revealed at previous race meetings, but not on the most recent race outcomes. In fact, bettors appear to use the most recent race outcomes appropriately when forming probability estimates; but only when the results are in line with their mental model of barrier-position advantage. Bettors with varying levels of expertise are shown to be subject to anchoring, although greater expertise is generally associated with less anchoring. The paper concludes that the manner and degree of anchoring in real world environ.

Prediction Markets in Theory and Practice

Prediction Markets, sometimes referred to as "information markets," "idea futures" or "event futures", are markets where participants trade contracts whose payoffs are tied to a future event, thereby yielding prices that can be interpreted as market-aggregated forecasts. This article summarizes the recent literature on prediction markets, highlighting both theoretical contributions that emphasize the possibility that these markets efficiently aggregate disperse information, and the lessons from empirical applications which show that market-generated forecasts typically outperform most moderately sophisticated benchmarks. Along the way, we highlight areas ripe for future research.

Information Salience, Investor Sentiment, and Stock Returns: The Case of British Soccer Betting

Soccer clubs listed on the London Stock Exchange provide a unique way of testing stock price reactions to different types of news. For each firm, two pieces of information are released on a weekly basis: experts’ expectations about game outcomes through the betting odds, and the game outcomes themselves. The stock market reacts strongly to news about game results, generating significant abnormal returns and trading volumes. We find evidence that the abnormal returns for the winning teams do not reflect rational expectations but are high due to overreactions induced by investor sentiment. This is not the case for losing teams. There is no market reaction to the release of new betting information although these betting odds are excellent predictors of the game outcomes. The discrepancy between the strong market reaction to game results and the lack of reaction to betting odds may not only be the result from overreaction to game results but also from the lack of informational content or information salience of the betting information. Therefore, we also examine whether betting information can be used to predict short-run stock returns subsequent to the games. We reach mixed results: we conclude that investors ignore some non-salient public information such as betting odds, and betting information predicts a stock price overreaction to game results which is influenced by investors’ mood (especially when the teams are strongly expected to win).information salience;investor sentiment;investor attention;sports betting;soccer;football;economics of sports;market efficiency

Probability and uncertainty in Keynes's The General Theory

Book description: John Maynard Keynes is undoubtedly the most influential Western economist of the twentieth century. His emphasis on the nature and role of uncertainty in economic thought is a dominant theme in his writings. This book brings together a wide array of experts on Keynes' thought such as Gay Tulip Meeks, Sheila Dow and John Davis who discuss, analyse and criticise such themes as Keynesian probability and uncertainty, the foundations of Keynes' economics and the relationship between Keynes' earlier and later thought. The Philosophy of Keynes' Economics is a readable and comprehensive book that will interest students and academics interested in the man and his thought

The Economics of Lotteries: An Annotated Bibliography

This paper presents an annotated bibliography of all papers relating to the economics of lotteries as of early to mid 2011. All published scholarly papers that could be identified by the authors are included along with the published abstract where available.lotto, lottery, public finance, gambling

Lottery Participants and Revenues: An International Survey of Economic Research on Lotteries

Government sponsored lotteries operate around the world. Their popularity has grown substantially over time. Legal lottery gambling generates significant public revenue, much of it from the lower part of the income distribution. Lottery is almost always an unfair bet, so explaining the purchase of lottery tickets by risk-averse consumers has long challenged economic theory. Lotteries can be analyzed from the perspective of public finance, as source of public revenue, or consumer theory, as a consumer commodity. We survey the state of economic research on lotteries from both perspectives, focusing on the key empirical findings.lottery; implicit tax; effective price; jackpot; conscious selection

A dynamic Bayesian network to predict the total points scored in national basketball association games

Bettors on National Basketball Association (NBA) games commonly place wagers concerning the result of a game at time points during that game. We focus on the Totals (Over/Under) bet. Although many forecasting models have been built to predict the total number of points scored in an NBA game, they fail to provide bettors engaged in live-betting with predictions that are based on the game currently being played. We construct an Expert Bayesian Network to sequentially, as the game progresses, update the probability that the total points scored by both teams will exceed that set by the oddsmakers, and then use this probability to influence our wager at the end of the first, second, and third quarters. Research methods include data collection of team statistics over the last five NBA seasons, discretization of features, filter-based feature selection and specification of the network structure using domain knowledge and statistical tests. We compare the profit of our live-betting strategy against amateur betting strategies, wagers informed by a Naïve Bayes classifier, and wagers informed by a Bayesian Network whose structure is specified using a greedy search algorithm. When applied to games played during the early 2018-2019 NBA regular season, the Expert Bayesian Network and the Naïve Bayes model provide the most accurate predictions. Wagers informed by these two models yield profits of over 10% and 6%, respectively, but the other models and strategies are not profitable

Information Markets and Nonmarkets

As large amounts of data become available and can be communicated more easily and processed more e¤ectively, information has come to play a central role for economic activity and welfare in our age. This essay overviews contributions to the industrial organization of information markets and nonmarkets, while attempting to maintain a balance between foundational frameworks and more recent developments. We start by reviewing mechanism-design approaches to modeling the trade of information. We then cover ratings, predictions, and recommender systems. We turn to forecasting contests, prediction markets, and other institutions designed for collecting and aggregating information from decentralized participants. Finally, we discuss science as a prototypical information nonmarket with participants who interact in a non-anonymous way to produce and disseminate information. We aim to make the reader familiar with the central notions and insights in this burgeoning literature and also point to some open critical questions that future research will have to address