This document discusses prediction markets and some of their challenges. Prediction markets allow people to bet on outcomes, like who will win a startup competition, by buying and trading "stocks" tied to each possible outcome. The price of the stocks is meant to reflect the probability of each outcome. However, prediction markets face issues with attracting enough users and making the stock market-based system intuitive for most people. The document explores how to address these usability and adoption problems, such as building the system on popular platforms like Facebook or monetizing the information gained from a prediction market.
5. Prediction markets
Stocks are tied to events
Stock payouts depend on the outcomes
Stock prices correlate with the probabilities
6. Prediction markets: an example
Democamp: 11 startups
11 possible winners
11 stocks in the Democamp
market
The winning team's stock
will produce a payout (profit)
8. Prediction markets
Why?
Wisdom of the crowds (J.Surowiecki)
Incentives for information discovery and
truthful revelation of beliefs
Efficient market hypothesis
12. Why facebook?
A channel for:
User acquisition
User activation
User retention
User referrals
High trading volumes and thus a large
user base is necessary for forecasting
accuracy.
13. Usability
Financial and stock market terms are
difficult for most people.
Yet they are the essence of prediction
markets.
So how much of the market can you
hide before you start to lose the
prediction?
14. The future
Sell the service (SaaS)
Sell the information
In-game-purchases