Table of Contents
Prediction Markets
General Information
- Prediction Markets are Wisdom of Crowds in action
- Amazing results in lots of applications:
- Wikipedia
- Social Bookmarking
- → Internet in general
What we learned so far
- Basic theory: Condorcet Jury Theorem
- Wikipedia: „where the average chance of a member of a voting group making a correct decision is greater than fifty percent the chance of the group as a whole making the correct decision will increase with the addition of more members to the group“
- self selected traders volunteer to put their knowledge into a prediction
- Certain value (real or play money) is connected to personal prediction
- One classic approach: ask a group of experts and take the average
- Manipulation? Have a look at the general stock exchange or even Wikipedia!
Types of Prediction Markets
- winner-takes-it-all
- defining one specified event
- pays off a specified amount if the event occurs
- index
- pays off for every single percentage point
- spread
- pays off even if the percentage is higher than expectation
Requirements
- Design issue ⇒ how do buyers and sellers meet and exchange?
- Contracts must be defined very clearly (Event occurred just because of a fusion with other contracts)
- Play or real money?
- by creating a „game feeling“ people are encouraged as well, although just play money is at stake
- Play money: only good betters can be successful in the market (equality and fair competition!)
- Why do people participate in MMORPG, browsergames in general?
- Motivation of the traders is very important (e.g. real money showed: even thin markets (20-60 people) have very good results)
- Only work well if there is enough useful intelligence
- When public information is selective, inaccurate or misleading ⇒ PM won't work
Power of Prediction Markets / Conclusion
- Provide incentives (dt.: Anreize) for truthful revelation (dt.: Offenbarung, Aufdeckung)
- Provide incentives for research and information discovery
- Provide an algorithm for aggregating diverse opinions