Prediction Markets Fundamentals, Designs, and Applications /

Accurate predictions are essential in many areas such as corporate decision making, weather forecasting and technology forecasting. Prediction markets help to aggregate information and gain a better understanding of the future by leveraging the wisdom of the crowds. Trading prices in prediction mark...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Luckner, Stefan (Συγγραφέας), Schröder, Jan (Συγγραφέας), Slamka, Christian (Συγγραφέας), Franke, Markus (Συγγραφέας), Geyer-Schulz, Andreas (Συγγραφέας), Skiera, Bernd (Συγγραφέας), Spann, Martin (Συγγραφέας), Weinhardt, Christof (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Wiesbaden : Gabler Verlag, 2012.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Luckner, Stefan.  |e author. 
245 1 0 |a Prediction Markets  |h [electronic resource] :  |b Fundamentals, Designs, and Applications /  |c by Stefan Luckner, Jan Schröder, Christian Slamka, Markus Franke, Andreas Geyer-Schulz, Bernd Skiera, Martin Spann, Christof Weinhardt. 
264 1 |a Wiesbaden :  |b Gabler Verlag,  |c 2012. 
300 |a XIV, 141 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
520 |a Accurate predictions are essential in many areas such as corporate decision making, weather forecasting and technology forecasting. Prediction markets help to aggregate information and gain a better understanding of the future by leveraging the wisdom of the crowds. Trading prices in prediction markets thus reflect the traders’ aggregated expectations on the outcome of uncertain future events and can be used to predict the likelihood of these events. This book demonstrates that markets are accurate predictors. Results from several empirical studies reported in this work show the importance of designing such markets properly in order to derive valuable predictions. Therefore, the findings are valuable for designing future prediction markets. 
650 0 |a Business. 
650 0 |a Management science. 
650 0 |a Trade. 
650 0 |a Commerce. 
650 1 4 |a Business and Management. 
650 2 4 |a Trade. 
650 2 4 |a Business and Management, general. 
700 1 |a Schröder, Jan.  |e author. 
700 1 |a Slamka, Christian.  |e author. 
700 1 |a Franke, Markus.  |e author. 
700 1 |a Geyer-Schulz, Andreas.  |e author. 
700 1 |a Skiera, Bernd.  |e author. 
700 1 |a Spann, Martin.  |e author. 
700 1 |a Weinhardt, Christof.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783834933584 
856 4 0 |u http://dx.doi.org/10.1007/978-3-8349-7085-5  |z Full Text via HEAL-Link 
912 |a ZDB-2-SBE 
950 |a Business and Economics (Springer-11643)