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The Forrester executive summary:

The “wisdom of crowds” is capturing the attention of corporate strategists across the globe, and, as a result, many are now looking to prediction markets — speculative markets in which traders collectively predict future events — to generate collective intelligence. For enterprises, prediction markets bring unique value: They focus on the future, aggregate diverse information pools that can be applied to multiple decision-making domains, create streams of actionable data suitable for executive decision-making, and can often cut through corporate politics and pressures at lower cost than traditional forecasting methods. Market researchers will, however, need to have an active hand in the management of these mechanisms, ensuring strong management support, the right incentives for traders, and a focus on appropriate questions. When executed properly, the value to the enterprise is enormous; as a result, Forrester believes that prediction markets will ultimately find a permanent home in the market research toolbox.

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For information on hard-copy or electronic reprints, please contact the Client Resource Center at +1 866.367.7378, +1 617.617.5730, or resourcecenter –at– forrester –dot– com. We offer quantity discounts and special pricing for academic and nonprofit institutions.

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APPENDIX #1: Prediction Markets – DRM Review

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APPENDIX #2:

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Here is a list of companies that provide software for prediction markets:

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Inkling Markets – (MSR + AMM)

NewsFutures – (CDA + optional AMM + SR)

Xpree – (MSR + AMM)

Zocalo – (CDA + MSR + AMM) – (open-source)

Nosco – (CDA + MSR + AMM)

QMarkets – (MSR + AMM)

Ask Markets – (MSR + AMM)

Exago Markets – (CDA + optional AMM)

Gexid – (?)

ProKons – (?)

Spigit – (?)

HSX Virtual Markets – (Virtual Specialist + AMM)

HubDub – (MSR + AMM) – (not licensed)

Yahoo!‘s Prediction Exchange – (MSR + AMM + DPMM) – (not licensed)

Google‘s Prediction Exchange – (CDA) – (not licensed)

MicroSoft PredictionPoint – (MSR + AMM) – (not licensed)

InTrade – (CDA + AMM for play money) – (not licensed)

TradeSports – (CDA + AMM for play money) – (not licensed)

Iowa Electronic Markets – (CDA) – (not licensed)

HedgeStreet – (CDA) – (not licensed)

TradeFair – (CDA) – (not licensed)

BetFair – (CDA) – (not licensed)

Trading Technologies International – (CDA) – (not for event derivatives)

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Here’s a list of prediction market consultants:

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Robin Hanson – (George Mason University, Virginia, U.S.A.)

• Robin Hanson does prediction market consulting work, and have no exclusive arrangements.
• “I’m more interested in helping groups that want to add lots of value to big decisions, versus groups that just want to dabble in a new fad.”

Inkling – URL: Inkling Markets – (Chicago, Illinois, U.S.A.)

• Adam Siegel
• Nathan Kontny

NewsFutures – (Maryland, U.S.A. & Paris, France, E.U.)

• Emile Servan-Schreiber — Post Archive at Midas Oracle
• Maurice Balick

Xpree – (California, U.S.A.)

• Mat Fogarty

Chris Hibbert – (California, U.S.A.)

• Chris Hibbert (Software architect / Zocalo project manager) — Post Archive at Midas Oracle
• Chris Hibbert’s personal website — Chris Hibbert’s personal blog —
• Chris Hibbert’s CommerceNet profile — (His stint there ended in mid 2006.)

Justin Wolfers – (University of Pennsylvania’s Wharton Business School, Pennsylvania, U.S.A.)

• Justin Wolfers takes on prediction market consulting work.
• The prediction market industry is “a case where the interaction between firm practice and academic research are reasonably close.”

Koleman Strumpf – (University of Kansas, Kansas, U.S.A.)

• Koleman Strumpf — Post Archive at Midas Oracle
• Koleman Strumpf can be approached to consult on prediction market projects.
• “Prediction markets help harness the knowledge of diverse groups. They have great potential as a tool for industry.”

Nosco – (Danemark, E.U.)

• Jesper Krogstrup
• Oliver Bernhard Pedersen

Qmarkets – (Israel)

• Noam Danon

Ask Markets – (Greece, E.U.)

• George Tziralis — Post Archive at Midas Oracle

HP Services & HP Labs – (U.S.A.)

• Predicting the future –with games — Introductory article
• Information Dynamics Lab — Internal prediction markets
• BRAIN – (Behaviorallly Robust Aggregation of Information in Networks) — Scoring Rules (i.e., non-trading technique)
• Bernardo A. Huberman – Bernardo Huberman – Senior Fellow & Director
• Kay-Yut Chen -
• Google Search for “prediction markets”

Hollywood Stock Exchange (HSX) & HSX Research – (L.A., California, U.S.A.)

• Prediction market consultancy firm
• Movie business

IntelliMarket Systems – (L.A., California, U.S.A.)

• Charles R. Plott – Charles Plott – (CalTech Inst., California, U.S.A.)

Gexid – Global Exchange for Information Derivatives – (Germany, E.U.)

• Bernd Ankenbrand — Post Archive at Midas Oracle

ProKons – (Germany, E.U.)

• Peter Gollowitsch

Exago Markets – (Portugal, E.U.)

• Pedro Da Cunha

NimaniX – (Israel)

• Elad Amir (CEO), Littal Shemer Haim (VP Business development), David Shahar (VP R&D)

Michael Giberson – (Texas, U.S.A.)

• Michael Giberson (Energy Economist – Center for Energy Commerce, Rawls College of Business, Texas Tech University) — Post archive at Midas Oracle
• Knowledge Problem – Blog on economics, energy policy, more.

Other Consulting Firms

McKinsey – (U.S.A.)

• Google Search for “prediction markets”
• The Promise Of Prediction Markets – by McKinsey – 2008-04-XX

Accenture – (U.S.A.)

• Google Search for “prediction markets”

Gartner – (U.S.A.)

• Google Search for “prediction markets”

Forrester – (U.S.A.)

• Google Search for “prediction markets”
• Prediction Markets: Wisdom Of The Crowd Comes To The Enterprise. – 2008-07-14

The Boston Consulting Group – (U.S.A.)

• Google Search for “prediction markets”

CapGemini – (U.S.A.)

• Google Search for “prediction markets”

KPMG – (U.S.A.)

• Google Search for “prediction markets”

Price Waterhouse Cooper – (U.S.A.)

• Google Search for “prediction markets”

Ernst & Young – (U.S.A.)

• Google Search for “prediction markets”

Deloitte – (U.S.A.)

• Google Search for “prediction markets”

IBM – (U.S.A.)

• Google Search for “prediction markets”

EDS – (U.S.A.)

• Google Search for “prediction markets”

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US scientists have invented a pill that can boost memory.

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Invented by Dr Gary Lynch from the University of California.

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John Delaney (CEO of InTrade) – (InTrade PDF file – CFTC PDF file):

Nearly all leading academics, not known for their attraction to unanimity, have publicly supported event markets. A great majority of these academics have been supplied with Intrade market data in the past, a service that Intrade intends to continue, for all study leads to an increase in transparency and understanding of event markets. It seems that the leading event market academics make no distinction between the benefits derived from academic owned markets like Iowa Electronic Markets and commercial market platforms like Intrade.

Yet many academics, with some notable exceptions, do temper their policy prescription to suggest a “safe harbor” for academic sites where research might be more generally available. As noted above Intrade has gladly supplied its event market data, typically free of charge to most of the leading prediction market academics and their students, and we are committed to encouraging the future study of event markets by continuing to supply our event market data free of charge or at very deep discounts. The academics that study event markets do a great service in developing our understanding of the strengths and weaknesses of event markets. Some commentators suggest that market liquidity and breadth typically benefit all event market stakeholders. Thus far commercial platforms like Intrade seem to be providing the greatest depth and breadth in event markets.

As Intrade has been a staunch supporter of event market academic study, and supplies greater depth and liquidity in its event markets than any other platform, it seems strange not to be a preferred purveyor. Perhaps the predominant reason many academics have held back from advocating and treating all event markets alike is a sense that initiatives to clarify or unwind the legislation restraining the optimal development of event markets is unlikely to be achievable. It seems many academics and commentators suggest a slow bureaucratic and pragmatic caution rather than focus on the optimal result. While the optimal result may be more challenging to achieve, for consistency, for better price discovery for the benefit of all, as well as for the development of Intrade, we encourage CFTC to apply common goals, objectives and standards for all participants.

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Prediction Market Industry Association – (PMIA)

4) Lobby for a clear legal and regulatory environment conducive to the productive adoption of prediction markets by individuals, firms, and governments, and ensuring free access to these markets by traders.

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The PMIA’s first board is comprised of:

[...]
Robin Hanson (George Mason University)
Justin Wolfers (Wharton School – University of Pennsylvania)

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Nearly all leading academics, not known for their attraction to unanimity, have publicly supported event markets. A great majority of these academics have been supplied with Intrade market data in the past, a service that Intrade intends to continue, for all study leads to an increase in transparency and understanding of event markets. It seems that the leading event market academics make no distinction between the benefits derived from academic owned markets like Iowa Electronic Markets and commercial market platforms like Intrade.

Yet many academics, with some notable exceptions, do temper their policy prescription to suggest a “safe harbor” for academic sites where research might be more generally available. As noted above Intrade has gladly supplied its event market data, typically free of charge to most of the leading prediction market academics and their students, and we are committed to encouraging the future study of event markets by continuing to supply our event market data free of charge or at very deep discounts. The academics that study event markets do a great service in developing our understanding of the strengths and weaknesses of event markets. Some commentators suggest that market liquidity and breadth typically benefit all event market stakeholders. Thus far commercial platforms like Intrade seem to be providing the greatest depth and breadth in event markets.

As Intrade has been a staunch supporter of event market academic study, and supplies greater depth and liquidity in its event markets than any other platform, it seems strange not to be a preferred purveyor. Perhaps the predominant reason many academics have held back from advocating and treating all event markets alike is a sense that initiatives to clarify or unwind the legislation restraining the optimal development of event markets is unlikely to be achievable. It seems many academics and commentators suggest a slow bureaucratic and pragmatic caution rather than focus on the optimal result. While the optimal result may be more challenging to achieve, for consistency, for better price discovery for the benefit of all, as well as for the development of Intrade, we encourage CFTC to apply common goals, objectives and standards for all participants.

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Prediction Market Industry Association – (PMIA)

4) Lobby for a clear legal and regulatory environment conducive to the productive adoption of prediction markets by individuals, firms, and governments, and ensuring free access to these markets by traders.

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The PMIA’s first board is comprised of:

[...]
Robin Hanson (George Mason University)
Justin Wolfers (Wharton School – University of Pennsylvania)

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A recent article in the prestigious academic journal Science (May 16, 2008, Vol 320, p. 877-8) once again makes the case for regulated prediction markets, more commonly known as “betting exchanges” to online gamblers. The authors make the case that such markets are useful in forecasting future events with less error than traditional measures such as polling. This argument is hard to ignore, with the authors including 21 top economists from such esteemed institutions as Yale, Stanford, Berkeley, and the University of Pennsylvania. Notable among the authors is Justin Wolfers from the Wharton School of business at UPenn, an economist who has gained notoriety in gambling circles due to his work on such topics as NBA referee bias (highlighted in a May 2008 article from MajorWager: http://www.majorwager.com/index.cfm?page=27&show_column=660).

The concept behind using prediction markets as a decision-making tool is simple. “Shares” are made available on an open market, and the participants use their capital (and the promise of profits) to make predictions on future events, which is incorporated into the share price. In general, information tends to be widely dispersed, and a market allows wide-ranging opinions to be gathered and consolidated into a market-wide prediction. In other words, an infinite amount of opinions can be aggregated, and an open market with potential for profit provides an incentive for individuals to make their opinions publicly known.

Prediction markets always get more than their fair share of press near the end of the 4-year U.S. Presidential election cycle. The Iowa Electronics Market, housed at the University of Iowa, is perhaps the most well-known. The authors of the Science paper show that, in the week immediately preceding the Presidential elections from 1988 through 2000, the Iowa Electronic Markets erred by an average of only 1.5 percentage points from the actual vote results, while the traditional Gallup poll was off by 2.1%. Numerous other studies have shown the superiority of markets compared to other forecasting tools.

Of course, there have been some dust-ups regarding prediction markets in the past, most notably the “terrorist strike market”, unveiled a little too close to 9/11 to be palatable to the general public. The official name was the “Policy Analysis Market“, and it was established by the Pentagon to act as a prediction market for Middle East political events. It was quickly scuttled after heated comments from U.S. Senators, calling it “grotesque” and “stupid”, due to the perception of using catastrophic events such as assassinations as profit-making tools. Regardless of its political correctness (and the misinformed opinions of a few politicians), such a prediction market still holds value as a glimpse into the collective mindset of everyone with an understanding of political currents in the region. Utilizing such a prediction market as a component of foreign policy decisions may have ultimately spared the U.S. much grief in Iraq.

In recent years, prediction markets have grown beyond academic and government roles. Dublin-based InTrade is rapidly growing and provides many more options than the Iowa Electronic Markets. Others such as MatchBook have focused more on sporting contests, but provide coverage of other events as demand calls. Of course, those outside the U.S. have access to the largest betting exchange of them all, the massive European markets of BetFair. The success of these exchanges speaks to the public interest and feasibility of prediction markets.

One factor holding back the growth of online prediction markets is their close association with the quasi-legal world of sports betting and internet casinos. InTrade has been fairly proactive in this regard, spinning off from Tradesports to clean up its corporate slate, but it is still knee-deep in the legal sludge surrounding offshore “gambling”. All have to deal with the legal and financial hurdles of operating offshore.

The authors of the Science paper propose that clarification of internet gambling laws is needed to exploit the benefits of prediction markets within the United States. Clearly, the Unlawful Internet Gambling Enforcement Act (UIGEA) of 2006 is one such mechanism restricting the widespread use of prediction markets. Another is the Commodity Futures Trading Commission (CFTC), the regulatory agency which oversees futures markets in the U.S. The CFTC has provided a “no-action letter” to the Iowa Electronic Markets, an assurance that they will not seek any enforcement action against the exchange. However, this protection is not absolute and may not trump state and federal law if challenged. The Science authors propose a number of legal reforms which will allow prediction markets to begin to gain acceptance within the U.S. financial regulatory structure.

By no means does the Science article condone large-scale public markets, at least not initially. They take a (typically academic) conservative approach, recommending new legal framework to allow for the establishment of small markets with limited scope so as to evaluate the promise and use of prediction markets. But baby steps are going to be a necessity in the growth and acceptance of regulated public markets.

Clearly, there are negative aspects to financial markets, and regulation certainly has its place. Bear Sterns, Enron, the S&L scandal of the 80s, and the current housing bubble all caused tremendous loss of wealth resulting from missteps in the financial markets. The current oil crisis is due at least in part to speculation, leading to the introduction of no less than 9 separate bills in the U.S. Congress seeking tougher regulation over the trading of commodities. However, the existence of problems in the financial markets does not necessitate their dissolution. Likewise, prediction markets are sure to encounter bumps in the road, but their utility should far outweigh the risks.

Should prediction markets be legalized in the U.S.? Almost certainly. They would have benefit across numerous industries, from business decisions to political policies to financial forecasting. Unfortunately, this would require building an unlikely bridge over the Puritanical moral moat placed around gambling in the U.S. But there is no inherent difference in betting on who will win in an election than what the price of oil will be in 6 months, or what the S&P 500 will close at on a particular date. Distancing prediction markets from “illegal” gambling, and instead likening them to regulated financial markets, will be a necessary first step towards broader acceptance.

The academic groundwork on prediction markets has already been laid, and offshore exchanges have begun to turn these concepts into functioning businesses. As these markets grow and begin incorporating more diverse opinions, we can expect their success rate at predicting the future to only grow. To restrict such a promising tool simply due to its perception that it is a gambling outlet is silly indeed.

6-25-08
Jay Graziani
MajorWager.com
graziani@majorwager.com

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[This article is cross-posted from Major Wager.]

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Check that CFM page for updates. And contact me so I can make additions to the list. (I’ll then re-publish that updated list on Midas Oracle.)

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• Michael Abramowicz – Michael B. Abramowicz – (Law School, George Washington University, Washington, D.C., U.S.A.) — Post Archives at Midas Oracle
• Bernd H. Ankenbrand – Bernd Ankenbrand – (Lecturer, Witten/Herdecke University, Germany, E.U.) — Post Archives at Midas Oracle
• James Annan – (Global Environment Modelling Research Program, Frontier Research Center for Global Change, Japan)
• Werner Antweiler – (UBC Election Stock Market, Sauder School of Business, University of British Columbia, Vancouver, Canada)
• Kenneth J. Arrow – Kenneth Arrow – (Economics Department, Stanford University, California, U.S.A.)
• Tom W. Bell – Tom Bell – (Law School, Chapman University, California, U.S.A.) — Post Archives at Midas Oracle
• Joyce E. Berg – Joyce Berg – Profile – (Iowa Electronic Markets, Accounting, Henry B. Tippie College of Business, University of Iowa, Iowa, U.S.A.)
• Richard Borghesi – (Finance, Texas State University at San Marcos, Texas, U.S.A.) — Post Archives at Midas Oracle
• Kay-Yut Chen – (Information Services & Process Innovation Lab, HP Labs, HP, California, U.S.A.)
• Yiling Chen – (Micro-Economic and Social Systems, Yahoo! Research Labs, New York, U.S.A.) — Post Archives at Midas Oracle
• Eric Crampton – (Department of Economics, University of Canterbury, New Zealand) — Post Archives at Midas Oracle
• Ely Dahan – (Marketing, Anderson School, University of California at Los Angeles, Los Angeles, California, U.S.A.)
• Anita Elberse – (Marketing, Harvard Business School, Harvard University, Massachusetts, U.S.A.)
• Leslie R. Fine – Leslie Fine – (Information Dynamics Lab, HP Labs, California, U.S.A.)
• Gary William Flake – Gary W. Flake – Gary Flake – (MicroSoft, U.S.A.)
• Robert Forsythe – (Dean, College of Business Administration, University of South Florida, Florida, U.S.A.) — Previously: (Economics, Iowa Electronic Markets, Henry B. Tippie College of Business, University of Iowa, Iowa, U.S.A.)
• Lance Fortnow – Lance J. Fortnow – (Department of Electrical Engineering and Computer Science, McCormick School of Engineering, Northwestern University, Illinois, U.S.A.)
• Keith Jacks Gamble – Keith Gamble – (Economics (University of California at Berkeley) – California, U.S.A. — Post Archives at Midas Oracle
• Michael Gorham – (IIT Center for Financial Markets, Stuart School of Business, Illinois Institute of Technology, Illinois, U.S.A.) — Previously: (CFTC)
• Thomas S. Gruca – Thomas Gruca – Profile – (Iowa Electronic Markets, Marketing, Henry B. Tippie College of Business, University of Iowa, Iowa, U.S.A.)
• Refet Gurkaynak – (Department of Economics, Bilkent University, Turkey)
• Friedrich August Von Hayek — R.I.P. — The market as an information aggregation tool: The Use of Knowledge in Society —
• Robert W. Hahn – Robert Hahn – (Executive Director, Reg-Markets Center, American Enterprise Institute, Washington, D.C., U.S.A.) — Post Archives at Midas Oracle
• James D. Hamilton – James Hamilton – (Department of Economics, University of California at San Diego – California, U.S.A.) — Post Archives at Midas Oracle
• Robin Hanson – Robin D. Hanson – (Economics, James M. Buchanan Center, George Mason University, Virginia, U.S.A.) — Post Archives at Midas Oracle
• M. Todd Henderson – (Law School, University of Chicago, Chicago, Illinois, U.S.A.)
• Chris Hibbert – (Software Architect, Zocalo Project Manager, California, U.S.A.) — Post Archives at Midas Oracle
• Charles Holt – Charles A. Holt – (Department of Economics, University of Virginia, Virginia, U.S.A.)
• Bernardo A. Huberman – Bernardo Huberman – (Social Computing Lab, HP Labs, California, U.S.A.)
• Frédéric Koessler – (Economics, Centre Nationale de la Recherche Scientifique, France, E.U.)
• Anthony M. Kwasnica – Anthony Kwasnica – (Business Economics, Department of Insurance and Real Estate, Smeal College of Business Administration, Penn State University, Pennsylvania, U.S.A.)
• Nicolas Lambert – (Department of Computer Science, Stanford University, California, U.S.A.)
• John O. Ledyard – John Ledyard – (Economics and and Social Sciences, Division of Humanity and Social Sciences, California Institute of Technology, California, U.S.A.)
• Andrew Leigh – (Economics, Research School of Social Sciences, Australian National University, Australia)
• Steven Levitt – Steve Levitt – Steven D. Levitt – (Economics, Director of the Becker Center on Chicago Price Theory, Graduate School of Business, University of Chicago, Illinois, U.S.A.)
• Saul Levmore – (Law School, University of Chicago, Illinois, U.S.A.)
• Robert E. Litan – Robert Litan – (Vice President for Research and Policy, Kauffman Foundation, Kansas City, Missouri, U.S.A.)
• Thomas W. Malone – Thomas Malone – Tom Malone – (MIT Center for Collective Intelligence, Management, MIT Sloan School of Management, Massachusetts Institute of Technology, Massachusetts, U.S.A.)
• Charles F. Manski – Charles Manski – (College of Arts and Sciences, Norwestern University, Illinois, U.S.A.)
• Adam Meirowitz – (Department of Politics, Princeton University, New Jersey, U.S.A.)
• Paul Milgrom – (Department of Economics, Stanford University, California, U.S.A.)
• Tracy Mullen – (Information Sciences and Technology, Penn State University, Pennsylvania, U.S.A.)
• Forrest Nelson – Profile – (Iowa Electronic Markets, Economics, Henry B. Tippie College of Business, University of Iowa, Iowa, U.S.A.)
• George R. Neumann – George Neumann – Profile – (Iowa Electronic Markets, Economics, Henry B. Tippie College of Business, University of Iowa, Iowa, U.S.A.)
• Ryan Oprea – Profile – (Director of the LEEPS laboratory, Economics, University of California at Santa Cruz, California, U.S.A.)
• Gerhard Ortner – (University of Applied Sciences, Austria, E.U.)
• Marco Ottaviani – (Management and Strategy, Kellogg School of Management, Northwestern University, Illinois, U.S.A.) – Formerly: (Economics Department, London Business School, United Kingdom, E.U.) — Post Archives at Midas Oracle
• David Paton – (Industrial Economics, Business School, Nottingham University, United Kingdom, E.U.)
• David M. Pennock – David Pennock – (Principal Research Scientist, Micro-Economic and Social Systems, Yahoo! Research Labs, New York, U.S.A.) — Post Archives at Midas Oracle
• Charles R. Plott – Charles Plott – (Economics and and Social Sciences, Division of Humanity and Social Sciences, California Institute of Technology, California, U.S.A.)
• David Porter – (Economics and Finance, Chapman University, California, U.S.A.)
• Todd Proebsting – Todd A. Proebsting – (Microsoft & University of Arizona, U.S.A.)
• Russ Ray – (Finance, College of Business, University of Louisville, Kentucky, U.S.A.)
• Daniel Reeves – (Micro-Economic and Social Systems, Yahoo! Research Labs, New York, U.S.A.) — Post Archives at Midas Oracle
• Paul W. Rhode – Paul Rhode – (US Economic History, College of Management, The University of Arizona, Arizona, U.S.A.) – Formerly: (University of North Carolina, North Carolina, U.S.A.)
• Thomas A. Rietz – Thomas Rietz – Profile – (Iowa Electronic Markets, Finance, Henry B. Tippie College of Business, University of Iowa, Iowa, U.S.A.)
• Richard Roll – (University of California at Los Angeles, Los Angeles, California, U.S.A.)
• Thomas W. Ross – Thomas Ross – (UBC Election Stock Market, Sauder School of Business, University of British Columbia, Vancouver, Canada)
• Rahul Sami – (School of Information, University of Michigan, Michigan, U.S.A.)
• Sam L. Savage – Sam Savage – (Consulting Professor, Stanford U., California, U.S.A.) — Post Archives at Midas Oracle
• Thomas C. Schelling – Thomas Schelling – (Economics, School of Public Affair, University of Maryland, Maryland, U.S.A.)
• Emile Servan-Schreiber – (NewsFutures, New York City, New York, U.S.A. & Paris, France, E.U.) — Post Archives at Midas Oracle
• Robert J. Shiller – Robert Shiller – Profile – (Economics, Yale University, Connecticut, U.S.A.)
• Bernd Skiera – (Electronic Commerce, Goethe University, Germany, E.U.)
• Vernon L. Smith – Vernon Smith – (Economics, Economic Science Institute, Chapman University, California, U.S.A.)
• Erik Snowberg – (Stanford University, California, U.S.A.) — Soon at CalTech
• Peter Norman Sorensen – (Finance, Department of Economics, University of Copenhagen, Denmark, E.U.)
• Martin Spann – (Marketing and Innovation, University of Passau, Germany, E.U.)
• Koleman Strumpf – Koleman S. Strumpf – (Economics, School of Business, University of Kansas, Kansas, U.S.A.) – Formerly: University of North Carolina, North Carolina, U.S.A.) — Post Archives at Midas Oracle
• Cass Sunstein – Cass R. Sunstein – (Law School, University of Chicago, Chicago, Illinois, U.S.A.)
• James Surowiecki – (The Wisdom Of Crowds) – (New York, U.S.A.)
• Paul C. Tetlock – Paul Tetlock – (Finance, Business School, University of Texas at Austin, Texas, U.S.A.) — Post Archives at Midas Oracle
• Philip Tetlock – Philip E. Tetlock – (Leadership, University of California at Berkeley, California, U.S.A.)
• Hal R. Varian – Hal Varian – (Chief Economist, Google, California, U.S.A.) — Formerly: (Haas School of Business, Department of Economics, University of California at Berkeley, California, U.S.A.)
• Dorina Tila – (Economics, George Mason University, Virginia, U.S.A.)
• Leighton Vaughan-Williams – (Economics and Finance, Business School, Nottingham Trent University, United Kingdom, E.U.)
• Michael Wellman – Michael P. Wellman – (Computer Science and Engineering, University of Michigan, Michigan, U.S.A.)
• Justin Wolfers – Justin J. Wolfers – (Business and Public Policy, Wharton Business School, University of Pennsylvania, Pennsylvania, U.S.A.) — Post Archives at Midas Oracle
• Eric Zitzewitz – Eric W. Zitzewitz – (Economics, Dartmouth College, Massachusetts, USA) – Formerly: (Stanford University, California, U.S.A.) — Post Archives at Midas Oracle

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(with thanks to Chris Hibbert of Zocalo)

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Iowa Electronic Markets – (IEM) – (Henry B. Tippie College of Business, University of Iowa, Iowa, U.S.A.)

Interdisciplinary Center for Economic Science – (ICES) – (George Mason University, Virginia, U.S.A.)

Economic Science Institute – (ESI) – (Chapman University, California, U.S.A.)

HP Labs – (Hewlett-Packard, Palo Alto, California, U.S.A.)

Laboratory for Experimental Economics and Political Science – (EEPS) – (CalTech, California, U.S.A.)

Vecon Lab – (University of Virginia, Virginia, U.S.A.)

MIT Center for Collective Intelligence – (CCI) – (Cambridge, Massachusetts, U.S.A.)

Yahoo! Research Labs – (Yahoo!, Pasadena, California, U.S.A.)

Laboratory for Economics Management and Auctions – (LEMA) – (Penn State University, Pennsylvania, U.S.A.)

MicroSoft Research – (MicroSoft, Redmont, Washington, U.S.A.)

Google‘s Economics Group – (Google, Mountain View, California, U.S.A.)

Center for Prediction Markets – (National Chengchi University, Taiwan)

Knowledge Lab – (Witten/Herdecke U., Cologne, Germany, E.U.)

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Contact me to submit other entries.

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Inkling – URL: Inkling Markets – (Chicago, Illinois, U.S.A.)

• Adam Siegel — Post Archives at Midas Oracle
• Nathan Kontny

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NewsFutures – (Maryland, U.S.A. & Paris, France, E.U.)

• Emile Servan-Schreiber — Post Archives at Midas Oracle
• Maurice Balick

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Xpree – (U.S.A.)

• Mat Fogarty — Post Archives at Midas Oracle

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HP Services – HP Labs – (U.S.A.)

• Predicting the future –with games — Introductory article
• Information Dynamics Lab — Internal prediction markets
• BRAIN – (Behaviorallly Robust Aggregation of Information in Networks) — Scoring Rules (i.e., non-trading technique)
• Bernardo A. Huberman – Bernardo Huberman – Senior Fellow & Director
• Kay-Yut Chen -
• Google Search for “prediction markets”

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Hollywood Stock Exchange (HSX) & HSX Research – (L.A., California, U.S.A.)

• Prediction market consultancy firm
• Movie business

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Chris Hibbert – (California, U.S.A.)

• Chris Hibbert (Software architect / Zocalo project manager) — Post Archives at Midas Oracle
• Chris Hibbert’s personal website — Chris Hibbert’s personal blog —
• Chris Hibbert’s CommerceNet profile — (His stint there ended in mid-2006.)

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Robin Hanson – (George Mason U., Virginia, U.S.A.)

• Robin Hanson — Post Archives at Midas Oracle
• Robin Hanson does prediction market consulting work, and have no exclusive arrangements.
• “I’m more interested in helping groups that want to add lots of value to big decisions, versus groups that just want to dabble in a new fad.”

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Justin Wolfers – (U. of Pennsylvania’s Wharton business school, Pennsylvania, U.S.A.)

• Justin Wolfers — Post Archives at Midas Oracle
• Justin Wolfers takes on prediction market consulting work.
• The prediction market industry is “a case where the interaction between firm practice and academic research are reasonably close.”

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Koleman Strumpf – (U. of Kansas, Kansas, U.S.A.)

• Koleman Strumpf — Post Archives at Midas Oracle
• Koleman Strumpf can be approached to consult on prediction market projects.
• “Prediction markets help harness the knowledge of diverse groups. They have great potential as a tool for industry.”

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Michael Giberson – (Virginia, U.S.A.)

• Michael Giberson (energy economist, who is also an expert in prediction markets) — Post archives at Midas Oracle
• Knowledge Problem – Blog on economics, energy policy, more.

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Robert Hahn – (American Enterprise Institute, Washington, D.C., U.S.A.)

• Robert Hahn — Post Archives at Midas Oracle
• Robert Hahn does consulting focused on improving decision making in the private and public sector. “This work builds on our evolving understanding of prediction markets and other economic tools.”

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IntelliMarket Systems – (L.A., California, U.S.A.)

• Charles R. Plott – Charles Plott – (CalTech Inst., California, U.S.A.)

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Mercury Research and Consulting – (United Kingdom, E.U.)

• Jed Christiansen — Post Archives at Midas Oracle

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Ask Markets – (Greece, E.U.)

• George Tziralis — Post Archives at Midas Oracle

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Gexid – Global Exchange for Information Derivatives – (Germany, E.U.)

• Bernd Ankenbrand — Post Archives at Midas Oracle

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Nosco – (Danemark, E.U.)

• Jesper Krogstrup — Post Archives at Midas Oracle
• Oliver Bernhard Pedersen

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Qmarkets – (Israel)

• Noam Danon — Post Archives at Midas Oracle

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ProKons – (Germany)

• Peter Gollowitsch

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Hive Insight – (Raleigh-Durham, North Carolina, U.S.A. & London, U.K., E.U.)

• Robert Wilburn (ex-NewsFutures)

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Foresight Markets – (??)

• BPH Technologies

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NimaniX – (Israel)

• Elad Amir (CEO), Littal Shemer Haim (VP Business development), David Shahar (VP R&D)

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PrediCom – (London, United Kingdom, E.U.)

• Mikael Edholm

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New York Times:

“Insider trading is a bigger deal in sports than in the financial markets,” said Justin Wolfers, a professor of business and public policy at the Wharton School at the University of Pennsylvania, who studies gambling. “We have the Securities and Exchange Commission here. Why not the same for what is a multibillion-dollar sports gambling market?”

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Previously: BetFair’s Mark Davies on sports betting and the fight against corruption

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Lawrence O’Donnell (a leftist journalist –but a good one, whom I appreciate):

A senior campaign official and Clinton confidante has told me that there will be a Democratic nominee by June 15. [...] Yes, Clinton spokespersons publicly seem to be lost on gravity-free planet Clinton, but privately they know the end is near.

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There’s a quasi consensus among the political pundits to say that Hillary Clinton will not be the Democratic nominee in November 2008.

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Tim Russert:

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That was Wednesday night. I have just watched NBC Nightly News this Thursday, and the same Tim Russert appeared with 2 white boards full of calculations, which all pointed to Hillary Clinton being toasted.

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My general thoughts about the place of the political prediction markets in this primary election season:

1. The weight of the political prediction markets in the US political scenery is close to epsilon. I have been monitoring Memeorandum (the Web’s best political news and opinion aggregator), and it has never featured one piece of political prediction market journalism —not only that, but none of the popular popular pieces, featured by Memeorandum, has ever mentioned the political prediction markets and their probabilities. The people who breathe politics on a daily basis (the experts and the bloggers) don’t give the first fig about the prediction markets. They couldn’t care less.
2. The prediction market luminaries who predicted that the prediction markets were to become a tool used in political campaigns were dead wrong. I have never read that campaign staffers use actively the political prediction markets. Campaigns use private polls, only.
3. Like in 2004 (when Howard Dean was crowned, early on), the prediction markets, at the start of the primary season, were incapable of foreseeing who would be each party’s nominee, ultimately —Barack Obama and John McCain both came out of the blue. But the polls and the political experts didn’t see them, too.
4. Nothing surprising in that. While the idiots emphasize the supposed magical power of the prediction markets (using adjectives such as “fascinating” or “intriguing” when writing about them), the well informed people know for a fact that they simply aggregate information from the primary, advanced indicators and the opinions expressed by the political experts. Nothing more than that. The prediction markets are incapable of foretelling upsets, by essence.
5. The last weeks were particularly interesting, in that regard, because the Obama-vs-Clinton polls have been of no interest —only the views of the political experts who could count in terms of delegates and super-delegates were of interest. The political prediction markets on the Democratic side, these last weeks, have been a reflection of the pundits’ calculations.
6. Outside of our blog, the only person who has aimed at practicing prediction market journalism is Justin Wolfers. He has understood the concept.
7. I would have my own concept of prediction market journalism, and I don’t agree with the way he executes, but that’s a detail. The main thing is that he has gotten the concept. That’s what is important, and that’s what makes all the difference between Justin Wolfers and the HubDub bloggers (for instance). The concept. The concept. The concept. The idea is to center the narrative around the inputs given by the relevant prediction market(s) —not just gluing artificially news bits and a prediction market chart (or a link to a prediction market).
8. InTrade, BetFair and NewsFutures are, in my view, the 3 prediction exchanges that matter for prediction market journalism —as of now.

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Now, the charts of the expired prediction markets —starting with Pennsylvania (of 2 weeks ago):

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Yesterday’s North Carolina:

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Yesterday’s Indiana:

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Sources: InTrade & BetFair

(Go there for the remaining primaries and caucuses. I don’t put them on, here, because they don’t matter anymore.)

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Now, the charts of the prediction markets, going forward:

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2008 US Presidential Election Winner – Individual

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2008 US Presidential Elections

Source: Dynamic, compound prediction market charts from InTrade

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Next US President

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Winning Party

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Female President?

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Democratic Candidate

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Republican Candidate

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Source: BetFair Politics Zone

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Barack Obama to win the Democratic nomination

© NewsFutures

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Hillary Clinton to win the Democratic nomination

© NewsFutures

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Next US President Will Be Democratic.

© NewsFutures

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Next US President Will Be Republican.

© NewsFutures

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Explainer On Prediction Markets

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Prediction markets produce dynamic, objective probabilistic predictions on the outcomes of future events by aggregating disparate pieces of information that traders bring when they agree on prices. Prediction markets are meta forecasting tools that feed on the advanced indicators (i.e., the primary sources of information). Garbage in, garbage out… Intelligence in, intelligence out…

A prediction market is a market for a contract that yields payments based on the outcome of a partially uncertain future event, such as an election. A contract pays $100 only if candidate X wins the election, and $0 otherwise. When the market price of an X contract is $60, the prediction market believes that candidate X has a 60% chance of winning the election. The price of this event derivative can be interpreted as the objective probability of the future outcome (i.e., its most statistically accurate forecast). A 60% probability means that, in a series of events each with a 60% probability, then 6 times out of 10, the favored outcome will occur; and 4 times out of 10, the unfavored outcome will occur.

Each prediction exchange organizes its own set of real-money and/or play-money markets, using either a CDA or a MSR mechanism.

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More Info:

- The Best Resources On Prediction Markets = The Best External Web Links + The Best Midas Oracle Posts

- Prediction Market Science

- The Midas Oracle Explainers On Prediction Markets

- All The Midas Oracle Explainers On Prediction Markets

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