Joyce Berg, director of the Iowa Electronic Markets, talks about how business schools are using the tool for research and teaching.

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She says prediction markets are &#8220-substitute&#8221- for polls&#8230- or any forecasting tool.

Read the previous blog posts by Chris F. Masse:

  • Never talk when you can nod, and never nod when you can wink, and never write an e-mail because it’s death. You’re giving prosecutors all the evidence we need.
  • Is Justin Wolfers a libertarian? Probably not.
  • The information technology that caught Eliot Spitzer
  • Eric Zitzewitz’s 10 minutes of fame
  • Fun with conditional probabilities
  • Wrongly Crafted Headlines Of The Day
  • an American, petite, very pretty brunette, 5 feet 5 inches, and 105 pounds

Donald Luskin outputs a bad explainer on prediction markets.

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Firstly, I&#8217-d like to say that I respect Donald Luskin as a Wall Street professional and as a libertarian blogger. But I think that his explainer is too simplistic.

Not a single word on the concept of probabilistic prediction:

The financial incentive to get it right, and the ability to draw on bettors from around the world &#8212- anyone who might have any information on whatever proposition is being bet on &#8212- is what gives these markets their uncanny predictive power.

Mixing prediction markets (a reality) with decision markets (a utopia):

Economics professor Robin Hanson, who has studied prediction markets extensively, told me he envisions a &#8220-futarchy&#8221- &#8212- government by futures contracts traded in a prediction market.

Claiming that these information aggregation mechanisms (the prediction markets) will supplant the advanced indicators which they feed on:

Today prediction markets are threatening to replace political polling &#8212- they&#8217-re certainly doing a better job. Tomorrow, who knows? Prediction markets might replace politics itself.

My readers will prefer the Midas Oracle explainer on prediction markets.

Im a big believer in the market, that it is the best way of aggregating information. Due to the law of supply and demand and profit-seeking, it has a better idea of what a price should be than any other way of determining prices.

Brian Shiau (of The Sim Exchange) interviewed by Reuters.

Shiau hired an analyst, Jesse Divnich, to help interpret the exchange&#8217-s data and provide commentary.

Jesse Divnich&#8217-s research reports

I like that. I think it should be made a rule that the person reporting on a set of prediction markets should have an expertise in the topic covered by those prediction markets. Example: the journalist reporting on the US political prediction markets should be a full-day political analyst &#8212-as opposed to a business/economics professor (or else) who spends most of his/her time outside of politics. We would have more insightful reports.


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Read the previous blog posts by Chris. F. Masse:

  • Barack Obama is the 44th US president.
  • We already have prediction markets in future tax rates. It’s called the municipal bond yield curve.
  • DELEGATES AND SUPERDELEGATES ACCOUNTANCY
  • O’Reilly – Money-Tech Conference
  • Google Profiles
  • Event Derivative Exchange HedgeStreet is baaaaaaaaack… from the grave.
  • Sports Derivative Forum

Prediction markets on who is going to win an election are more accurate then the final Gallup poll.

Signed: Eric Zitzewitz

Watch the video.

Read the previous blog posts by Chris. F. Masse:

  • WARREN BUFFETT: I said that the US dollar might be “worth less” in five to ten years —not that it might be “worthless”.
  • The Year Of The Rat should bring $$$ to the prediction market industry and the event derivative traders.
  • WordPress founder Matt Mullenweg is my hero and so he should be yours.
  • InTrade-TradeSports has seen more than $50 million wagered on the U.S. presidential election.
  • LinkedIn will be data-mining its database of millions of users to find potential experts.
  • Britons can’t get enough of Yankees’ politics.
  • TURNING POINT: BARACK OBAMA EVENT DERIVATIVE NOW AHEAD FOR BOTH DEMOCRATIC NOMINATION AND NOVEMBER’S ELECTION.

Seems to me that the TradeSports market was reflecting what was happening on the field, rather than predicting it.

Exactly. :-D

See the fist comment, there.

Read the previous blog posts by Chris. F. Masse:

  • Five reasons Hillary Clinton should be worried
  • TURNING POINT: BARACK OBAMA EVENT DERIVATIVE NOW AHEAD
  • The Best External Web Links On Prediction Markets And On Everything Else
  • The InTrade webmaster is a moron.
  • The Economist rebuts Paul Krugman.
  • The US futures exchanges should not control clearing.
  • Billionaire Stephen Schwarzman: “I don’t feel like a wealthy person.”

The Journal of Prediction Markets

The Journal of Prediction Markets – Volume 1, Number 3, December 2007

  • Adapting Least-Square Support Vector Regression Models to Forecast the Outcome of Horseraces
  • Conditional Prediction Markets as Corporate Decision Support Systems – An Experimental Comparison with Group Deliberations
  • Does Sportsbook.com Set Pointspreads to Maximize Profits? Tests of the Levitt Model of Sportsbook Behavior
  • Public Information Bias and Prediction Market Accuracy
  • Price Biases in a Prediction Market: NFL Contracts on Tradesports
  • Testing the Efficiency of Markets in the 2002 World Cup

Thanks to George Tziralis of AskMarkets

Read the previous blog posts by Chris. F. Masse:

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  • Gary Flake to David Pennock: Come on board… or die.
  • Technology Futurism
  • Trade on BetFair-TradeFair as you would trade on TradeSports-InTrade, thanks to order-entry software BinarySoft.
  • Pervez Musharraf prediction markets –Eric Zitzewitz Edition
  • The Over-Round Explained
  • WHY THE PREDICTION MARKETS WILL LIKELY F**K UP SUPER TUESDAY 2008.

Papers on Prediction Markets

Preparing a Negotiated R&amp-D Portfolio with a Prediction Market – by Cedric Gaspoz and Yves Pigneur
http://www.hec.unil.ch/cgaspoz/files/pub/Gaspoz08a_Preparing_a_Negotiated_R_D_Portfolio_with_a_Prediction_Market.pdf

Multi-Criteria Decision-Making versus Prediction Markets – by Cedric Gaspoz and Yves Pigneur
http://www.hec.unil.ch/cgaspoz/files/pub/Gaspoz07c_Technology_Foresight_for_IT_Investment.pdf

Read the previous blog posts by Chris. F. Masse:

  • Gary Flake to David Pennock: Come on board… or die.
  • Technology Futurism
  • Trade on BetFair-TradeFair as you would trade on TradeSports-InTrade, thanks to order-entry software BinarySoft.
  • Pervez Musharraf prediction markets –Eric Zitzewitz Edition
  • The Over-Round Explained
  • WHY THE PREDICTION MARKETS WILL LIKELY F**K UP SUPER TUESDAY 2008.
  • Still unconvinced by prediction market journalist Justin Wolfers

Predictocracy = Market Mechanisms for Public and Private Decision Making

No GravatarRobin Hanson:

[&#8230-] The main problem with using [Michael] Abramowicz&#8217-s book as a &#8220-technical manual&#8221-, however, is that he&#8217-s never actually seen, much less touched, most of the blocks he describes. His conclusions are not supported or tested by math models, computer simulations, lab experiments, field trials, nor a track record of successful past proposals – it is all based on his untested intuitions. And he doesn&#8217-t seem inclined to do any such testing himself – he hopes his book will inspire others to do that. There is of course a spectrum of rigor in how solidly one can support a claim. Most business decisions are based on far less rigor that elite academics often demand, and there is surely a place for &#8220-brainstorming&#8221- speculation. Compared with most academics, I admit I have often been more than toward the speculation end of the spectrum, though I have tried to test my speculations via math models, lab experiments, field trials, and have arguably collected a modest track record of success. [&#8230-]

Michael Abramowicz&#8217-s response:

[&#8230-] The incentives provided by two of my technical proposals (the decentralized subsidy approach and the nobody-loses prediction market) are sufficiently straightforward to me that math seems superfluous to me, though I agree that field tests comparing these with alternatives would be useful. Two of the proposals (the text-authoring market and the market web) could certainly benefit from experimentation, but the software needed to implement them would be considerably more complicated than what is needed for existing prediction markets. [&#8230-]

Robin Hanson&#8217-s second take.

Michael Abramowicz&#8217-s post.

Robin Hanson on futarchy vs. predictocracy.

Michael Abramowicz.

Robin Hanson.

I will blog about this book, once I have read it, in the near future.

Predictocracy = Market Mechanisms for Public and Private Decision Making

All the book is online, at the web address above. You can also buy it at bookshops, or at Amazon.

Predictocracy

Read the previous blog posts by Chris F. Masse:

  • Many people twitter on prediction markets.
  • Folks, when you have something important to say, write up a full post, not a comment.
  • Prediction Market Journalism
  • TechCrunch is 221 times bigger than Midas Oracle.
  • Earthquake measuring 9.0 or more on Richter scale to occur anywhere on or before December 31, 2008
  • Why Midas Oracle (and not TV news shows or print newspapers) will dominate the future.
  • The Six Degrees Of Separation

Organizational Sociology & Googles Enterprise Prediction Markets

Graduate student Ben Spigel&#8217-s comment on Richard Florida&#8217-s blog:

About a decade ago, a group of cognitive scientists looking at Bell Labs found that all things being equal, the chances of two scientists collaborating was 4 times higher if they had offices in the same hallway, than if there was a turn in the hall between them. Basically, people are lazy about talking to other people. There&#8217-s a noticeable drop in communication when you have to turn your neck to see someone.

Reminder:

Robin Hanson in a comment on Marginal Revolution:

This is important work for organizational sociology, but not for prediction markets, as this does little to help us find and field high value markets.

Reminder:

Robin Hanson:

Info Value = the added accuracy the markets provide relative to other mechanisms, times the value that accuracy can give in improved decisions, minus the cost of maintaining the markets, relative to the cost of other mechanisms.

A highly accurate market has little value if other mechanisms can provide similar accuracy at a lower cost, or if few substantial decisions are influenced by accurate forecasts on its topic.

Related Links:

Using Prediction Markets to Track Information Flows: Evidence From Google – (PDF file – PDF file) – by Bo Cowgill (Google economic analyst), Justin Wolfers (University of Pennsylvania) and Eric Zitzewitz (Dartmouth College)


Author Profile&nbsp-Editor and Publisher of Midas Oracle .ORG .NET .COM &#8212- Chris Masse&#8217-s mugshot &#8212- Contact Chris Masse &#8212- Chris Masse&#8217-s LinkedIn profile &#8212- Chris Masse&#8217-s FaceBook profile &#8212- Chris Masse&#8217-s Google profile &#8212- Sophia-Antipolis, France, E.U. Read more from this author&#8230-


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  • Molecular Nanotechnology

Prediction Markets vs. Bookmakers – The Ultimate Argument

No GravatarLas Vegas Sun:

“The bookie’s odds will be influenced by his appetite for risk, the action he’s got on his side and his own bias,” said John Delaney, chief executive officer of Dublin-based Intrade.com, the world’s largest prediction market. “If I were to ask you where you would find the expected value of IBM, would you ask a broker or go to the stock exchange? The aggregation of information that happens on an exchange typically provides better information than if you had several buyers and just one seller.”

Excellent.

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  • Can you correctly forecast sales of music CDs?