Though we’ve done our best to try to help people understand how prediction markets can drive business value, we’re always excited to discover when others explain it in a straightforward way. In this case, we found a helpful description of the “binary option” model of prediction markets in the CAPS community at Fool.com. I.e., the mechanics of how trading works in a prediction market.
So what are prediction markets? Prediction markets generally involve the trading of binary options. You may know what options are (the right but not the obligation to purchase a given thing), and the benefits of using them (nonlinear payoff profile i.e. fixed premium/cost vs variable profit). But binary options work a little differently, the standard binary option pays $1 if a specified event occurs by or on a specified date – otherwise it pays $0.
For example ipredict has a contract on the US Fed increasing interest rates by November (here): “FED.INCR.NOV10”. This contract pays $1 if the Fed increases interest rates on or before the 4th of November 2010.
You can both sell and buy binary options. So using the previous example, if you believe the probability of the US Fed increasing rates on or before the 4th of November is greater than 0 then you would buy contracts (e.g. if you bought a contract at $0.50 and the Fed increased rates before expiry you would receive $1).
Likewise if you believed that there was no way the Fed would lift rates this year then you could sell short the contract. So for example if it were trading at $0.50 then you would sell a contract for $0.50 and on expiry if the event did not happen you would get to keep the $0.50. But of course the converse is true, if the event did occur then you would have to pay $1 to the holder of the contract, but this would be offset by the $0.50 you sold it for.
If you want to participate in a public prediction market driven by our Foresight platform, check out Logica’s FutureScope project.
The CAPS model itself, based on predictions in the financial markets, is pretty interesting.

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