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Prediction Markets -

Prediction Markets

Theory and Applications
Buch | Softcover
288 Seiten
2014
Routledge (Verlag)
978-1-138-80290-2 (ISBN)
CHF 87,25 inkl. MwSt
How can we effectively aggregate disparate pieces of information that are spread among many different individuals? In other words, how does one best access the ‘wisdom of the crowd’? Prediction markets, which are essentially speculative markets created for the purpose of aggregating information and making predictions, offer the answer to this question. The effective use of these markets has the potential not only to help forecast future events on a national and international level, but also to assist companies in providing, for example, improved estimates of the potential market size for a new product idea or the launch date of new products and services.

The markets have already been used to forecast uncertain outcomes ranging from influenza outbreaks to the spread of other infectious diseases, to the demand for hospital services, to the box office success of movies, climate change, vote shares and election outcomes, to the probability of meeting project deadlines. The insights gained also have many potentially valuable applications for public policy more generally. These markets offer substantial promise as a tool of information aggregation as well as forecasting, whether alone or as a supplement to other mechanisms like surveys, group deliberations, and expert opinion. Moreover, they can be applied at a macroeconomic and microeconomic level to yield information that is valuable for government and commercial policy-makers and which can be used for a number of social purposes.

This volume of original readings, contributed by many of the leading experts in the field, marks a significant addition to the base of knowledge about this fascinating subject area. The book should appeal to all those with an interest in economics, forecasting or public policy, and in particular those with an interest in the study of money, investment and risk.

Leighton Vaughan Williams is Professor of Economics and Finance and Director of the Betting Research and the Political Forecasting Unit at Nottingham Business School, Nottingham Trent University, UK.

Introduction Leighton Vaughan Williams 1. Idea Markets as an Evaluation Tool: Between Beauty Contests and Prediction Markets Marco Ottaviani 2. How Prediction Markets Can Save Event Studies Erik Snowberg, Justin Wolfers and Eric Zitzewitz 3. Mechanisms for Prediction Markets Yiling Chen 4. Information Markets for Decision Making: Performance and Feasibility Karen Croxson 5. Using Prediction Markets in New Product Development Bernd Skiera and Martin Spann 6. Prediction Market Accuracy for Business Forecasting Andreas Graefe 7. Price Biases and Contract Design : Lessons from Tradesports Richard Borghesi 8. The Predictive Ability of Financial Markets Les Coleman 9. Markets’ ability to predict conditional probabilities: Evidence from the US Presidential Campaign Lionel Page 10. Prediction Markets: A Study on the Taiwan Experience Shu-Heng Chen et al. 11. Uses of Sports Wagering-Based Prediction Markets Outside of the World of Gambling Rodney J. Paul and Andrew P. Weinbach 12. Experimental Prediction and Pari-Mutuel Betting Markets Charles Noussair 13. The Economic Analysis of Sports Betting by Expert Gamblers and Insiders: A Survey John Peirson 14. The Case of Football Betting Reviewed Johnnie Johnson and A. Oikonomodis 15. The Prediction Market for the Australian Football League Adi Schnytzer 16. Do Experts Know More than the Crowd: A Case Study Michael Smith

Reihe/Serie Routledge International Studies in Money and Banking
Zusatzinfo 20 Tables, black and white; 23 Line drawings, black and white; 23 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 156 x 234 mm
Gewicht 408 g
Themenwelt Wirtschaft Volkswirtschaftslehre Finanzwissenschaft
Wirtschaft Volkswirtschaftslehre Mikroökonomie
Wirtschaft Volkswirtschaftslehre Ökonometrie
ISBN-10 1-138-80290-5 / 1138802905
ISBN-13 978-1-138-80290-2 / 9781138802902
Zustand Neuware
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