======On the Forecast Accuracy of Sports Prediction Markets======
This study evaluates the forecast accuracy of prediction markets for the FIFA World Cup 2006 against FIFA rankings and a random predictor.  \\ 
\\ 
(Generated with the help of GPT-4) \\ 
  

^  Quick Facts  ^^
|Report location:  |[[https://foresightfordevelopment.org/sobipro/download-file/46-469/54|source]]   |
|Language:  |English  |
|Publisher:  |<WRAP> 
Springer-Verlag Berlin Heidelberg \\ 
</WRAP>   |
|Authors:  | Christian Slamka,  Jan Schröder, Stefan Luckner  |
|Time horizon:  |2006    |
|Geographic focus:  |Germany, Spain   |

=====Methods=====
The research method involved an empirical study comparing the forecast accuracy of a prediction market with the FIFA world ranking and a random predictor for the FIFA World Cup 2006 outcomes.  \\ 
\\ 
(Generated with the help of GPT-4) \\

=====Key Insights=====
Prediction markets, where virtual stocks of sports outcomes are traded, are analyzed for their accuracy in forecasting the FIFA World Cup 2006 results. The study compares the performance of these markets to predictions based on the FIFA world ranking and a random predictor. It finds that prediction markets outperform both the FIFA ranking and random predictions in terms of forecast accuracy.  \\ 
\\ 
(Generated with the help of GPT-4) \\ 


=====Additional Viewpoints=====
<!-- Insert instructions for additional viewpoints -->

<span #categories_box> Categories:  {{tag>2000s_time_horizon}} |  {{tag>2006_time_horizon}} |  {{tag>English_publication_language}} |  {{tag>Germany_geographic_scope}} |  {{tag>Spain_geographic_scope}} |  {{tag>betting_odds}} |  {{tag>fifa_ranking}} |  {{tag>fifa_world_cup}} |  {{tag>forecast_accuracy}} |  {{tag>futures}} |  {{tag>information_aggregation}} |  {{tag>market_prices}} |  {{tag>prediction_markets}} |  {{tag>random_predictor}} |  {{tag>sports_forecasting}} |  {{tag>trading_interface}}   </span>  


~~DISCUSSION~~