32
An Introduction to Prediction Markets (a.k.a. Idea Futures, Decision Markets, Information Markets, and Event Markets) alex kirtland / UsableMarkets 25 Mar 2007

Introduction to Prediction Markets

Embed Size (px)

DESCRIPTION

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.

Citation preview

Page 1: Introduction to Prediction Markets

An Introduction to Prediction Markets (a.k.a. Idea Futures, Decision Markets,

Information Markets, and Event Markets)

alex kirtland / UsableMarkets25 Mar 2007

Page 2: Introduction to Prediction Markets

www.usableMarkets.com

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

Page 3: Introduction to Prediction Markets

www.usableMarkets.com

outcome / contract

outcome / contract

outcome / contract

outcome / contract

outcome / contractAll Others

The “who will win the 2008 presidential election” market

the market (the event)

Page 4: Introduction to Prediction Markets

www.usableMarkets.com

Contract Hillary:

Hillary Clinton WILL BE our next president

$0.00 $1.00Price

0% 100%Prediction

$0.26

26%

Hillary Clinton has a 26% chance, at this point in time, of being our next president.

Page 5: Introduction to Prediction Markets

www.usableMarkets.com

All Others

The “who will win the 2008 presidential election” market

the market

$0.26 $0.20 $0.18 $0.12 $0.24

26% 20% 18% 12% 24%

= 100%

Page 6: Introduction to Prediction Markets

www.usableMarkets.com

Page 7: Introduction to Prediction Markets

www.usableMarkets.com

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

2. The Contract – A specific prediction that the trader can buy or sellExamples: 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

3. Trading Platform – The way that someone interacts with the market

Double Auction / Book Order System Automated Market Maker

Page 8: Introduction to Prediction Markets

www.usableMarkets.com

Basic Elements of a Prediction Market, cont.

4. 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.

5. Liquidity – the number of trades

6. Currency –real money or fake money.

Page 9: Introduction to Prediction Markets

www.usableMarkets.com

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

Page 10: Introduction to Prediction Markets

www.usableMarkets.com

How are prediction markets

different than polls?

Page 11: Introduction to Prediction Markets

www.usableMarkets.com

Who uses these things?

?

Page 12: Introduction to Prediction Markets

www.usableMarkets.com

Page 13: Introduction to Prediction Markets

www.usableMarkets.com

Page 14: Introduction to Prediction Markets

www.usableMarkets.com

Page 15: Introduction to Prediction Markets

www.usableMarkets.com

Page 16: Introduction to Prediction Markets

www.usableMarkets.com

Page 17: Introduction to Prediction Markets

www.usableMarkets.comand others ....

Page 18: Introduction to Prediction Markets

www.usableMarkets.com

Page 19: Introduction to Prediction Markets

www.usableMarkets.com

Page 20: Introduction to Prediction Markets

www.usableMarkets.com

Gamers

Gamblers

Sophisticates

Employees

Your “Average Joe”

Page 21: Introduction to Prediction Markets

www.usableMarkets.com

Knows how to trade

Doesn’t

Page 22: Introduction to Prediction Markets

www.usableMarkets.com

Page 23: Introduction to Prediction Markets

www.usableMarkets.com

Most of us

Knows how to trade

Doesn’t

Page 24: Introduction to Prediction Markets

www.usableMarkets.com

Page 25: Introduction to Prediction Markets

www.usableMarkets.com

Page 26: Introduction to Prediction Markets

www.usableMarkets.com

Page 27: Introduction to Prediction Markets

www.usableMarkets.com

Page 28: Introduction to Prediction Markets

www.usableMarkets.com

Page 29: Introduction to Prediction Markets

www.usableMarkets.com

Where are we now?

• No perfect site, but lots of experimentation

• Industry• Corporate

• A growth industry ...?

Page 30: Introduction to Prediction Markets

www.usableMarkets.com

Q&A

Questions I haven’t answered yet ...

Page 31: Introduction to Prediction Markets

www.usableMarkets.com

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)

Page 32: Introduction to Prediction Markets

Thank You!