The Effect of Electronic Markets on Forecasts of New Product Success

In this paper, we extend field experiments of real money prediction markets to the problem of forecasting the success of a new product. We collect forecasts using a traditional survey mechanism and a market mechanism. Our results suggest that market prices summarize the information contained in survey forecasts and improve those forecasts by reducing the variability of the forecast. However, we find no evidence of a “crystal ball” equilibrium. Our markets have considerable variability and predict only as well as the public signal provided by the HSX movie market game.

[1]  C. Plott,et al.  Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets , 1988 .

[2]  M. Sobel,et al.  Forecasting the Vote: An Analytical Comparison of Election Markets and Public Opinion Polls , 2001 .

[3]  David M. Pennock,et al.  The Power of Play: Efficiency and Forecast Accuracy in Web Market Games , 2000 .

[4]  Sanford J. Grossman.  An Introduction to the Theory of Rational Expectations Under Asymmetric Information , 1981 .

[5]  Pradeep K. Chintagunta,et al.  A Bayesian Model to Forecast New Product Performance in Domestic and International Markets , 1999 .

[6]  Robert E. Krider,et al.  Competitive Dynamics and the Introduction of New Products: The Motion Picture Timing Game , 1998 .

[7]  Russell J. Lundholm,et al.  Information Aggregation in an Experimental Market. , 1990 .

[8]  Gilbert A. Churchill,et al.  Marketing Research: Methodological Foundations , 1976 .

[9]  T. Gruca.  The IEM Movie Box Office Market: Integrating Marketing and Finance Using Electronic Markets , 2000 .

[10]  Michael E. Sobel,et al.  Forecasting the Vote: A Theoretical Comparison of Election Markets and Public Opinion Polls , 2004, Political Analysis.

[11]  Henry Chappell,et al.  Forecasting Presidential Elections in the United States , 2004 .

[12]  Thomas A. Rietz,et al.  Wishes, expectations and actions: a survey on price formation in election stock markets , 1999 .

[13]  Thomas A. Rietz,et al.  What Makes Markets Predict Well? Evidence from the Iowa Electronic Markets , 1997 .

[14]  J. Eliashberg,et al.  A Parsimonious Model for Forecasting Gross Box-Office Revenues of Motion Pictures , 1996 .

[15]  Fred S. Zufryden,et al.  Linking advertising to box office performance of new film releases - a marketing planning model , 1996 .

[16]  J. Eliashberg,et al.  Modeling goes to Hollywood: predicting individual differences in movie enjoyment , 1994 .

[17]  D. Littler.  Design and Marketing of New Products , 1981 .

[18]  Steven J. Rosenstone,et al.  Forecasting Presidential Elections , 1983 .

[19]  Robert Forsythe,et al.  Anatomy of an Experimental Political Stock Market , 1992 .

[20]  R. Lucas.  Expectations and the neutrality of money , 1972 .

[21]  C. Plott,et al.  Efficiency of Experimental Security Markets with Insider Information: An Application of Rational-Expectations Models , 1982, Journal of Political Economy.