Prediction Market Industry Association

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InTrade-TradeSports:

PREDICTION MARKET INDUSTRY ASSOCIATION IS BORN

Monday, Oct 22, 2007

PREDICTION MARKET INDUSTRY ASSOCIATION IS BORN

Industry and thought leaders join forces to help promote and grow the field of prediction markets.

London (Oct 22 2007) – The recent Prediction Market Summit held in London, UK, concluded with the creation of an international industry association tasked with promoting awareness, education and validation for the rapidly growing field.

Participants at the summit reflected the rich international and dynamic texture of the field, including veteran industry leaders such as Hollywood Stock Exchange (US), Intrade (IRL), NewsFutures (US), and Pro:kons (AU), as well as newer entrants such as Gexid (DE), Mercury (UK), Nosco (DK) and Xpree (US). Also present were many members of the international academic community from institutions in the UK, Scandinavia, Germany, Ireland, and Japan, as well as representatives of Schlumberger, Microsoft, Nokia and other companies using or considering the use of prediction markets in the operation of their business.

The Prediction Market Industry Association (&#8221-PMIA&#8221-) will focus on initiatives that can benefit all stake-holders while not hampering the healthy competition and rapid innovation that characterizes the field. Concretely, its first priorities are to:

1) Create a central, standardized registry of available prediction stocks and contracts from different prediction markets.
This open central resource will help demonstrate the wide coverage of available predictions, facilitate search, and make prediction market data more easily available to researchers, the media, and the public at large. Participation will be entirely voluntary, and the program will leave each publisher in complete control of the commercial terms for accessing its data.

2) Offer a directory of its members, a library of core readings, and other such resources
enabling newcomers to quickly learn about the field and find their way among the various worldwide offerings.

3) Provide a consensual venue for sharing industry-relevant information and announcements, and organize regular meetings of the industry to discuss common opportunities.

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.

To lead the collective effort on these initiatives, the summit participants chose a five member board of directors: three from industry and two from academia. Participants immediately came to consensus on the two academic members. The three industry board members, however, were elected in a secret ballot where voters could nominate any industry player whether present at the meeting or not. The PMIA&#8217-s first board is comprised of:

Emile Servan-Schreiber (NewsFutures) Chairman
Jed Christiansen (Mercury Research &amp- Consulting) Treasurer
John Delaney (Intrade)
Robin Hanson (George Mason University)
Justin Wolfers (Wharton School, University of Pennsylvania)

The board&#8217-s first task will be to establish the association&#8217-s bylaws, which will naturally include provisions for the regular rotation of the members of the board. A first draft will be published within the next two weeks and will be open to comment by all interested parties.

As it pursues the PMIA&#8217-s collective benefit agenda, the board looks forward to drawing heavily from the prediction market community&#8217-s extraordinarily rich and diverse pool of talent and experience. Comments, suggestions, and offers to help are most welcome. (We thank our friends at Nosco for graciously designing the association&#8217-s logo.)

As of today, the Prediction-Markets Google Group is the official discussion venue of the association. (Thanks to John Maloney for turning over the keys of this valuable resource.) This discussion group will act as the de facto virtual home of the association while this website is in construction.

In recognition of the inspiration provided by the river Thames, on the banks of which it was born, and the fact that London is both the financial capital of the world and a historical bridge between the United States and Europe, where most of the activity in the field currently takes place, the PMIA board has chosen this city as its physical home.

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For additional information contact:

Emile Servan-Schreiber T: +1 (443) 321-2700 E: [email protected]
Jed Christiansen T: +44 796 358 3663 E: [email protected]
John Delaney T: +353 1 6200 300 E: [email protected]
Robin Hanson E: [email protected]
Justin Wolfers E: [email protected]

NEXT: MIDAS ORACLE STATEMENT ON THE PREDICTION MARKET INDUSTRY ASSOCIATION

UPDATE: Their new website is born, EJSS tells us: Prediction Market Industry Association

External Link: The full list of all the industry associations at CFM.

Demand forecasting systems: Spending a lot on software doesnt guarantee success.

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Product line demand forecasting stands as the proto-typical application for internal prediction markets. Internal prediction markets may have other uses, but the demand forecasting story is probably the most straightforward and has been most often discussed in articles on the topic.

When software vendors and consultants try to sell prediction market systems to business, both the successes and the failures of existing forecasting systems likely stand as barriers. If the company’s current system is seen as successful, the company will have little motivation to change. If the company’s most recent million dollar system is a disaster, they will hesitate to leap into something new. I guess that leaves the moderately dissatisfied and mildly happy folks as likely sales targets.

An article in CIO highlights a demand forecasting disaster at Nike and discusses ways in which companies have adapted demand forecasting systems into business plans. The article was first published in 2003, so it is a few years old, but it stresses an important point – that a good system involves both software and people.

It’s been more than two years since Nike Chairman Phil Knight owned up to the sneaker giant’s disastrous $400 million experiment with demand forecasting software. The headlines are well known: Nike went live with its much-vaunted i2 system in June 2000, and nine months later, its executives acknowledged that they would be taking a major inventory write-off because the forecasts from the automated system had been so inaccurate. With that announcement in February 2001, Nike’s stock value plummeted, along with its reputation as an innovative user of technology.

… Nike isn’t the only company with a forecasting horror story. Corporate America is littered with companies that invested heavily in demand software but have little or nothing to show for it.

… Yet vendors and academics are still pushing forecasting software. In 2002 alone, companies spent $19 billion on demand forecasting software and other supply chain solutions, according to IDC (a sister company to CIO’s publisher). And in a speech in February, Stanford University supply chain guru Hau Lee extolled the virtues of harnessing software to extract customer knowledge in order to forecast demand.

Many CIOs, however, remain skeptical. Privately, members of Lee’s audience complained to a reporter present that the ability to accurately forecast could hardly be taken for granted. And according to a recent Booz, Allen &amp- Hamilton survey of 196 senior executives, 45 percent said that supply chain technology in general had failed to meet their expectations. More than half—56 percent—blamed the shortcoming squarely on demand forecasting software.

Of course it is easier to blame the software than to blame the humans in the systems, but the article suggests that any good system will need both.

Even forecasts that are made with a limited number of variables and with accurate data will be off. They still make the fundamental assumption that what was true yesterday will be true tomorrow. But because the data about a change lags behind the change itself, it takes human market watchers to note business climate alterations.

… &#8220-When the future doesn’t resemble the past, none of this forecasting software works well,&#8221- [Vicor CIO Doug] Richardson says.

… The mishap taught Vicor the necessity of factoring human intelligence into its forecasts. In order to make sure that it isn’t caught off guard again, the company set up a dual forecasting process in which the sales department comes up with a forecast and the computer system, which was upgraded a year ago, makes another. The two are complementary- the sales department is too conservative with its forecasts (Richardson thinks the salespeople are merely cautious- a cynic might point out that they are compensated for selling above quota).

The article discusses several other cases as well.

(Vicor adopted a forecasting system from Smart Software, and is now featured as a customer testimonial on the Smart Software site. Presumably, they&#8217-re happier with their new system.)

John Delaney of inTrade-TradeSports: The North Korea Missile prediction market was a P.R. disaster.

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Jed Christiansen:

It’s obvious that John wants InTrade to be much more successful than it has been, but he still clearly believes that InTrade can still be very successful. He mentioned that one key in their business is market makers- a few of their former market makers left, and that had a significant impact in the categories in which they participated. The new gambling laws in the US has had a significant impact on their business, but John is optimistic about the long-term potential of the industry in the States.

Regarding InTrade and TradeSports, John was clear that the companies are separate legal entities, with different management and employees. That said, he said that like a divorce, there are still connections between the two that take some time to replace. They are also looking into ways that individuals can submit contracts to trade on the exchange, similar to what you can do at Inkling. Clearly this would still be fairly tightly controlled, and judgement of the contracts would be done outside of InTrade by an independent entity.

John is disappointed that InTrade hasn’t grown more than they have. At the same time, he seems to be very optimistic about InTrade because their employees are still very motivated and morale continues to be strong. He also said he would fly to the US, but it would need to be for a good reason.

Finally, John addressed the infamous North Korea missile market. He was asked, “Was it a mistake?” He said both No and Yes. It wasn’t a mistake in that the market was judged according to a strict interpretation of the rules. At the same time, it was a mistake in that they didn’t handle the PR issue particularly well. His lesson learned was that they simply need to be incredibly careful regarding their market definitions.

On that last point, being the courageous web journalist at the center of this NKM storm, let me say this:

  1. It was a mistake to state in the contract that the (only) expiry source was to be the US DOD. The Military&#8217-s vocation is not to tell the truth, but to protect the US citizens &#8212-by way of lying, sometimes, if needed. (And we know now that, in all matters related to North Korea, the US DOD&#8217-s policy is to abstain from making public, precise, detailed comments.) Any event futures contract should state that the prediction exchange (betting exchange) will make any effort to gather the facts (i.e., the truth) &#8212-by all means possible (official source of information, the media, direct investigation, etc.).
  2. It was a mistake not to void all bets and all trading, or not to compensate the victims (the traders who did correctly predict that a missile would be fired, and lost their money due to &#8220-a strict interpretation of the rules&#8221-), when it became clear that the US DOD was not telling the truth completely (that is, they didn&#8217-t hand out all the details needed by InTrade-TradeSports to expire the prediction market on the &#8220-yes&#8221- side).
  3. It was a mistake to retaliate against Chris Masse in the purest Irish tradition: suppression of a subside I never asked for- insults sent from anonymous e-mail accounts- rumors spread around saying that Chris Masse is bitter coz he didn&#8217-t get the money he asked for- e-mails sent by a second-tier, phone-booth, vendor conference organizer (paid by Intrade-TradeSports) to my contacts asking them to cut off all links with Chris Masse- etc. All this in vain, since CFM and Midas Oracle remain the two most popular and prestigious resources on prediction markets &#8212-and growing.
  4. It is a mistake to come forward with regrets during a small venue, as opposed to make up with disappointed people and traders in popular web publications.

Previously: BetFair seems to say that InTrade-TradeSports’ illegal approach is not the best, on the long term. + InTrade expired the Larry Craig prediction market too early.

Beware before citing the probabilistic predictions given by the prediction markets

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Steve Roman:

It’s good to see Intrade cited as authoritative but I don’t think the recession contracts have enough liquidity to accurately reflect the odds. Citing a contract price when there is only a small amount of liquidity is one issue the MSM does when the number may not be credible. Some others that come to mind:

1. Thinly traded contracts may not reflect true odds – For instance, the contract for the US entering a recession in 2008 is now trading at 31. A pundit may cite this as a 31% chance of the US entering a recession in 2008, but he would not note that there is a 10-point spread around that price, so that by trading one lot, the odds will change by 5 points up or down. It would be a meaningless move – or would it? In such a thin market it impossible to tell.

2. Contract rules are importantWill Larry Craig resign? Did a missile leave NK airspace? The contracts for these events were based on rules that could be interpreted to have the opposite meaning of what most people would assume they do.

Even with Intrade’s recession contracts the details are important. The contracts will pay off when there are two consecutive quarters of negative GDP growth. That’s easy to understand, but is only one definition of recession. In the US a recession starts when the NBER says it does, making it possible for the GDP definition and contract odds to show we are not in a recession as the NBER declares we are. Not a major issue, but one that should be disclosed.

3. Timeframe should be noted – US News is the latest violator of ignoring time frames when discussing price changes, http://www.usnews.com/blogs/capital-commerce/2007/10/16/recession-odds-continue-to-fall.html . When talking about price changes it is necessary to talk about the time period over which the changes occurred. Did the odds of a recession decline from 60% to 30% within the past week? The past month? Not citing a timeframe or including a chart means I have to go back to Intrade to check on my own.

Steve Roman&#8217-s blog: Nasty Brutish And Tall

How do prediction markets benefit our society?

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KansasCity.com (page two):

[…] To advocates such as business professor Justin Wolfers, people can better plan their lives, their purchases and their businesses by knowing how much investors are willing to wager that, for example, mortgage rates drop.

It’s an empirical question, not a theoretical one: Does the market do better than polls or pundits in predicting outcomes? The short answer is yes,” said [Justin] Wolfers
, of the University of Pennsylvania’s Wharton School. […]

Previous blog posts by Chris F. Masse:

  • IIF’s SIG on Prediction Markets
  • Science
  • Why did prediction markets do well in the pre-polling era, professor Strumpf?
  • Mozilla FireFox users, do you have trouble downloading academic papers (as PDF files) from SSRN?
  • “Impact Matrix. Used to collect and gauge the likelihood and business impact of various events in the very long term.”
  • Ends and Means of Prediction Markets — Tom W. Bell Edition
  • How to run enterprise prediction markets… legally

Is WeatherBill doing well, really??

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WeatherBill does so well that TechCrunch has just published two &#8211-yes, two&#8211- blog posts on it, today (Wednesday, October 17, 2007). Here&#8217-s the first one, which basically says that two VCs have just poured $12,5 million dollars in it. Good for them. The second blog post, written by another TechCrunch writer, and which has been quickly taken off their website, basically said the same, but with this twist:

CEO David Friedberg says that WeatherBill has hundreds of customers and faces such high demand that it needs to bring more people aboard to increase capacity. The site has launched not only in the US but Canada, the UK, the Netherlands, Spain, Germany, and Norway as well.

So, should we believe the content of this now-deleted blog post? Or was it deleted because this information is not accurate? Mystery. ValleyWag should investigate. :-D

APPENDIX: Here&#8217-s the deleted TechCrunch blog post on WeatherBill. (The second item that follows is the first blog post that was published by TechCrunch.)

Deleted TechCrunch WeatherBill

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UPDATE: VentureBeat on WeatherBill&#8230-

VentureBeat on WeatherBill

UPDATE: Mark Hendrickson of TechCrunch&#8230-

Our apologies for misleading everyone into thinking Weatherbill enables people to gamble the weather as if it were a casino game. The service is meant rather to provide insurance for companies that could be aversely affected by fluctuations in the weather.

Weatherbill’s CEO informs us that only companies with a net worth of at least $1 million can participate due to regulations of the Commodity Futures Trading Commission. He also says that Weatherbill is the first service to ever provide access to hedges on the weather (online or otherwise).

Also, for anyone wondering why we had two posts up about this story, that’s because Duncan and I reported on it independently by accident. I guess you could say we both find the weather very interesting.

InnovateUs = Prediction Markets??

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InnovateUs:

Leveraging The Prediction Market

In a traditional stock market stocks are listed for corporations- and people buy and sell these stocks. The decision to buy or sell is based on the percieved performance of the stock in the future. If you think the profits are going to rise you will buy and if you think the profits are on a decline you would sell.

In the InnovateUs Idea Market stocks are listed for ideas and innovations. If you like an idea and you think the idea has a likely chance of getting accepted within your organization, buy the stock for the idea. The better the idea, more stocks you purchase. The total investment in a stock indicates the overall opinion about the idea.

[…] The anonymous Idea creation gave participants the required impetus to freely suggest ideas without fear of embarrassment and negative repercussions. Seeing the opportunity to win some incentives, participants invested their money wisely. In the end, the management ended up with a ton of great ideas and opinions to guide their decisions. […]

Is that &#8220-prediction markets&#8221-, really!??

Prediction markets dont solve the crystal-ball problem when it comes to the long-term future.

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– Crowdsourcing The Crystal Ball – by Forbes&#8217-s James Surowiecki – 2007-10-15

[…] So what&#8217-s the catch? Only this: We&#8217-re still not sure how far into the future prediction markets can really look, or whether they&#8217-re going to be able to foresee the kind of world- or business-altering events that Tetlock, for instance, asked his experts about.

So far, prediction markets&#8217- track record has been built on predicting events that will occur in the near future, and where the range of variables that might determine that future is reasonably small and well defined. (Elections, sales forecasts and product launch dates all fall into this category.) But prediction markets haven&#8217-t, for the most part, been used to try to predict things like the fall of the Soviet Union, and so it&#8217-s not clear whether a market would really be able to foresee events that represent a dramatic break with the past, rather than an evolution from it.

This hardly means that prediction markets are of little use: The kind of forecasting problems that these markets are good at are fundamental to any business. Using prediction markets internally should have a beneficial effect on a company&#8217-s bottom line.

But it is fair to say that we don&#8217-t know enough yet to say that prediction markets really solve the crystal-ball problem when it comes to the long-term future. What we need now is to start using prediction markets to ask bigger questions, which will eventually help us understand what the problem with forecasting really is: Is it how we&#8217-re trying to predict the future? Or is it that we&#8217-re trying to predict the future at all?

What do you guys/gals think? I&#8217-d go with the idea that it&#8217-s quite impossible to use prediction markets to forecast the long-term future.

Great quote for the prediction markets faithful

It&#8217-s the same each time with progress. First they ignore you, then they say you&#8217-re mad, then dangerous, then there&#8217-s a pause and then you can&#8217-t find anyone who disagrees with you.

&#8211- Tony Benn

Cross-posted from Caveat Bettor.

Read the previous blog posts by Caveat Bettor:

  • The Democrat SC Showdown: Intrade v. Zogby
  • Zogby beats Intrade in predicting Nevada caucus winner Clinton.
  • The GOP SC and Dem NV Showdown: Intrade v. Zogby
  • Latest Intrade v. Zogby contest is up.
  • Who said prediction markets were perfect?
  • Intrade markets and Zogby polls agree in New Hampshire
  • The Iowa Showdown: Zogby v. Intrade