Introduction to Prediction Markets
This presentation introduces prediction markets, describes who uses them and why, and ends with an examination of how the prediction market industry is trying to make the act of making prediction more usable.
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- Slide 1: An Introduction to Prediction Markets
(a.k.a. Idea Futures, Decision Markets,
Information Markets, and Event Markets)
alex kirtland / UsableMarkets
25 Mar 2007
- Slide 2: Simple Definition of Prediction Markets
• A place where information is aggregated via market (or other)
mechanisms for the primary purpose of forecasting events, or the
probability that an event will occur
www.usableMarkets.com
- Slide 3: The “who will win the 2008 presidential election”
market
outcome outcome outcome outcome outcome
All Others
/ contract / contract / contract / contract / contract
the market (the event)
www.usableMarkets.com
- Slide 4: Contract Hillary:
Hillary Clinton WILL BE our next
president
$1.00
$0.00
Price
$0.26
100%
0%
Prediction
26%
Hillary Clinton has a 26% chance, at this point in time, of
being our next president.
www.usableMarkets.com
- Slide 5: The “who will win the 2008 presidential election”
market
All Others
$0.26 $0.20 $0.18 $0.12 $0.24
26% 20% 18% 12% 24%
= 100%
the market
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- Slide 6: www.usableMarkets.com
- Slide 7: Basic Elements of a Prediction Market
1. The Market - Markets are generally created around a specific topic or
event, and contain the contracts which are traded.
Examples: The “Who will win the 2008 Presidential Election” Market
3. The Contract – A specific prediction that the trader can buy or sell
Examples: Hillary Clinton
Binary contract pays out all (e.g. $1.00) or nothing (e.g. $0.00)
Linear contract pays out based on final value
5. Trading Platform – The way that someone interacts with the market
Double Auction / Book Order System
Automated Market Maker
www.usableMarkets.com
- Slide 8: Basic Elements of a Prediction Market, cont.
2. Traders – the people who come to a market and participate by buying
and selling
Marginal traders – knowledgeable traders
Noise traders – traders who are not knowledgeable, or have some
motivation for trading other than what they think the true price
should be.
3. Liquidity – the number of trades
5. Currency –real money or fake money.
www.usableMarkets.com
- Slide 9: Simple Definition of Prediction Markets
• A place where information is aggregated via market (or other)
mechanisms for the primary purpose of forecasting events, or the
probability that an event will occur
• Why?
– Wisdom of the Crowds – “Under the right conditions groups can be
remarkably intelligent and possibly smarter than the smartest person.”
James Surowiecki
– Markets provide incentives for information discovery and
truthful revelation of beliefs
– Efficient Market Hypothesis – all available information incorporated
into the price
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- Slide 10: How are prediction markets
different than polls?
www.usableMarkets.com
- Slide 11: Who uses these things?
?
www.usableMarkets.com
- Slide 12: www.usableMarkets.com
- Slide 13: www.usableMarkets.com
- Slide 14: www.usableMarkets.com
- Slide 15: www.usableMarkets.com
- Slide 16: www.usableMarkets.com
- Slide 17: and others ....
www.usableMarkets.com
- Slide 18: www.usableMarkets.com
- Slide 19: www.usableMarkets.com
- Slide 20: Sophisticates
Gamers
Gamblers
Employees
Your “Average Joe”
www.usableMarkets.com
- Slide 21: Knows how to trade
Doesn’t
www.usableMarkets.com
- Slide 22: www.usableMarkets.com
- Slide 23: Knows how to trade
Most of us
Doesn’t
www.usableMarkets.com
- Slide 24: www.usableMarkets.com
- Slide 25: www.usableMarkets.com
- Slide 26: www.usableMarkets.com
- Slide 27: www.usableMarkets.com
- Slide 28: www.usableMarkets.com
- Slide 29: Where are we now?
• No perfect site, but lots of experimentation
• Industry
• Corporate
• A growth industry ...?
www.usableMarkets.com
- Slide 30: Q&A
Questions I haven’t answered yet ...
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- Slide 31: Special Thanks To ...
• Emile Servan-Schreiber (newsFutures)
• Ed Lenox (TradeSports)
• Robert Wilburn (RimDex)
• Adam Siegel (InklingMarkets)
• Jed Christiansen (Mercury Research & Consulting)
• Bo Cowgill (Google)
• David Pennock (Yahoo)
• Dave Perry (Consensus Point)
• Midas Oracle / Chris Masse (Blog)
www.usableMarkets.com
- Slide 32: Thank You!