PIECE OF EVIDENCE #2 THAT BETFAIR-TRADEFAIR ARE MINDING THE PREDICTION MARKETS.

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TradeFair Binaries:

TradeFair Prediction Markets

Hint: A binary bet represents the probability or percentage likelihood of an event happening. In the example above the price is 66 to sell and 67 to buy. You should buy if you think there is a greater than 67% likelihood of the event happening OR sell if you think the probability is less than 66% likelihood of the event NOT happening.

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Thank you, Eric Zitzewitz and Justin Wolfers (among others).

Interpreting Prediction Market Prices as Probabilities – (PDF – Abstract) – by Justin Wolfers and Eric Zitzewitz – 2005-02-01

While most empirical analysis of prediction markets treats prices of binary options as predictions of the probability of future events, Manski (2004) has recently argued that there is little existing theory supporting this practice. We provide relevant analytic foundations, describing sufficient conditions under which prediction markets prices correspond with mean beliefs. Beyond these specific sufficient conditions, we show that for a broad class of models prediction market prices are usually close to the mean beliefs of traders. The key parameters driving trading behavior in prediction markets are the degree of risk aversion and the distribution on beliefs, and we provide some novel data on the distribution of beliefs in a couple of interesting contexts. We find that prediction markets prices typically provide useful (albeit sometimes biased) estimates of average beliefs about the probability an event occurs.

Previously: BetFair’s Global Warming Prediction Markets — CFM’s Views – Out of their 3 event derivatives on global warming, the first two, at least, are flawed products.

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The BusinessWeek contributing writer has a poor choice of vocabulary.

No GravatarPallavi Gogoi talks about &#8220-predictive markets&#8221- instead of prediction markets.

How dare. :-D

Previous blog posts by Chris F. Masse:

  • Last year’s best April Fool’s Day Joke had something to do with the Wisdom Of Crowds.
  • Will HedgeStreet USA, the hypothetical InTrade USA, and the hypothetical TradeFair USA, be regulated in the future by a merged SEC+CFTC regulatory structure?
  • WORST THAN ELIOT SPITZER (if it were possible): Formula One boss, Max Mosley, had sado-masochist sex with 5 prostitutes, for 5 hours (!!), reenacting a concentration camp scene (!!) in which he played the role of both Nazi guard and inmate.
  • Is BetFair Poker a booby trap for the gullible novices? Does The Sporting Exchange (the operator of the BetFair brands) help gangs plucking down innocent recreational poker players?? To get an inkling, don’t read The Guardian, seeded by the BetFair spin doctor- read Midas Oracle.
  • The video that the technologically retarded BetFair spin doctor should watch.

Slate publishes a BetFair explainer for the Americans.

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YouBet – The wonders and dangers of online sports wagering. – (page 2) – [BetFair explained to the Americans] – by Slate&#8217-s T.D. Thornton – 2007-11-28

[…] Betfair, which opened for business in 2000, is best described as day trading for sports bettors. Using Web-based accounts, anonymous users can set their own odds or bid on odds offered by other players. Online &#8220-betting exchanges&#8220-—there are dozens, but Betfair is the kingpin, with a 90 percent market share—eliminate the role of odds-setting middlemen like local bookies and Las Vegas sports books. Instead of wagering on take-it-or-leave-it odds set by the house, gamblers are free to choose among many different price points, striking bets for as little as $1 up to hundreds of thousands. […]

On balance, Betfair offers a number of advantages over traditional sports betting. Compared with bookies and casinos, exchanges keep a much smaller cut of the action, a 1 percent to 3 percent &#8220-vig&#8221- that&#8217-s far less than the standard 10 percent. (In the long run, the exchanges are banking on greater betting volume far outpacing the difference in price: Betfair handles 5 million transactions a day, processing more than 300 bets per second.) […]

Exchanges are also unique in that you can lay odds on a team or individual to lose a sporting event. Naysayers believe that betting to lose is, well, unsporting, and that it is an open invitation for corruption and skullduggery. But this argument is idealistic whitewash. Just ask anyone involved in high finance, where betting to lose is an accepted, ethical strategy—on Wall Street, it&#8217-s called short selling. […]

The most clever innovation, however, is in-game gambling. No longer must you stop placing bets once the game begins. In-game wagering lends itself best to slower-paced sports like golf. When the action is much faster, the limits of technology get pushed to ridiculous proportions, with frantic players punching in frenzied bets that have more to do with market timing than sports. […]

If the United States loosened up its regulations, online exchanges would proliferate here. By creating a market-based framework for stateside sports betting, a chaotic gambling scene would, for once, have some order and credibility. […]

#1. This is the most significant news piece about BetFair I have seen in the American media.

#2. You&#8217-ll have noted that the prediction market approach is completely absent from the writer&#8217-s angle. (TradeSports and InTrade are not even cited.) My view is that this betting exchange approach and our prediction market approach are complementary. BetFair should have both.

Slides of presentations from Conference on Corporate Applications of Prediction/Information Markets (1 November), Kansas City

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The speakers&#8217- presentations are now available in pdf format on the conference webpage,

http://people.ku.edu/~cigar/PMConf_2007.

I intend to keep this page in place, so feel free to bookmark it and use it as a resource.

Previous blog posts by Koleman Strumpf:

  • Prediction Markets in the Classroom: Inkling Markets
  • Summary of Conference on Corporate Applications of Prediction/Information Markets (1 November), Kansas City
  • Reminder: Corporate Applications of Prediction Markets Conference (1 November)
  • Conference: Corporate Applications of Prediction/Information Markets (Thursday, 1 November 2007)
  • Copernican Principle: How To Predict the End of the World
  • Win Justin’s Money? (re: Is there manipulation in the Hillary Clinton Intrade market? Redux.)
  • Is there manipulation in the Hillary Clinton Intrade market?

Betfair may be forced to raise its commission charges.

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The British Horseracing Authority has put a case to the Department of Culture, Media and Sport for a greater contribution from the betting industry in the 47th levy.

Seeking a levy of somewhere between ?135million and ?153million for 2008-09, compared with an estimated ?94m from the latest scheme, the BHA&#8217-s document calls for the government to settle the levy on the basis of 15% of gross win on British horseracing.

The BHA also calls for betting exchanges to contribute to the levy on a new and equitable basis, stating that the contribution made by betting exchanges to the Levy should increase from the ?6m paid in 2006-07 to ?20m.

This figure would be achieved, they argue, through the imposition of a 1.25% Levy on the net profits of punters on betting exchanges, raising the possibility that Betfair et al, may be forced to increase their commission charges.

An insight into the contentious issue of how betting exchanges should be taxed, may be found here:

http://www.bettingmarket.com/tax.htm

External Link: The Guardian

Sounds like Sean Park will strike it rich, once again.

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Sean Park (Founding Partner at Sixth Paradigm, and blogger at The Park Paradigm)

Sean Park is a leading independent thinker on the future of financial markets, the author of The Park Paradigm, and the founding partner of Sixth Paradigm LLP:

The technology of the digital age is driving an unprecedented explosion in the ability to create markets in anything. Trade anything. Not just physical goods. Not just financial instruments. But ideas. Events. Outcomes. The emergence of these kinds of markets will – over time – impact how we view and interact with the world in all aspects of our personal and professional lives. They will fundamentally alter the current world economic and social paradigm.

Sean is also a founding investor in innovative companies such as Betfair and WeatherBill (where he is also a non-executive Director) and has extensive experience investing in and advising start-up and high growth companies in addition to over 16 years of experience working at a senior level in capital markets and investment banking. Building businesses has been a key theme throughout his career.

I&#8217-m bullish on WeatherBill. They showed that an event derivative exchange can have a more user-friendly interface &#8212-stuff that BetFair-TradeFair and TradeSports-InTrade have not computed yet. I wonder whether the WeatherBill approach could work out with other risks &#8212-other than weather.

On Sean Park, as a blogger, one of my sources said to me that he sometimes elaborates on ideas invented by others years ago and makes it like they are his. I&#8217-m a brand-new feed subscriber to his little blog, so I&#8217-ll judge by myself.

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Previously: Thoughts on Weather Bill – by Eric Zitzewitz – 2007-01-04

What I think is most innovative is the idea of marketing a prediction market contract as “insurance.”

What should be learned from the Overcoming Bias fiasco?

#1. That mistake could happen to any blogger (including moi), as we are all keen to re-publish and link to other people&#8217-s writings without checking and researching the foundations of their rationale.

#2. James Surowiecki taught a lesson in journalism to Robin Hanson.

#3. Robin Hanson should have published James Surowiecki&#8217-s letters to the editor as a new blog post &#8212-in addition to posting addenda to the original, flawed, misleading blog post.

#4. James Surowiecki has confirmed that he has the capacity and the legitimity to lead the field of prediction markets. [Of course, Robin Hanson is capable of mutant abstractions (MSR) whereas James Surowiecki is not.]

That is all, folks. Read the previous blog posts by Chris. F. Masse:

How Google ranks the software providers of enterprise prediction markets

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[InTrade is #1 but their software is not yet available for enterprise prediction markets, as I understand it.]

#1. NewsFutures

#2. Inkling Markets

#3. Consensus Point

#4. Zocalo

#5. HSX Research

Source: The Google Search ranking of the &#8220-prediction markets&#8221- webspots&#8230-

External Link: Jed Christiansen&#8217-s review of the software providers of enterprise prediction markets. (I will take a deeper look to it at a later time, and will maybe blog about it.)

Technological Revolutions and Financial Capital: The Dynamics of Bubbles and Golden Ages

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Technological Revolutions and Financial Capital: The Dynamics of Bubbles and Golden Ages

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Based on that book by Carlota Perez, the blogger at The Park Paradigm says that BetFair is a 6th-paradigm company.

In her model, the world has experienced five technological revolutions and “techno-economic” paradigms in the modern era, starting with the Industrial Revolution in the late 18th century, through to the current end of 20th century paradigm – the Age of Information and Telecommunications. So what happens when we look past the present age to the next – the sixth – techno-economic paradigm? What are the new and emerging opportunities that will present themselves in this “sixth paradigm”? Have we already witnessed the innovation that will lie at the heart of the sixth paradigm or is it still ahead of us? Will the sixth paradigm be the “Age of Markets”?

Separating cheap talk from truly held beliefs

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Plight of the Fortune Tellers: Why We Need to Manage Financial Risk Differently

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In his book, Plight of the Fortune Tellers, Riccardo Rebonato describes how an invitation to bet can be used to separate cheap talk from truly held beliefs (and, in the process, ruin an otherwise engaging dinner conversation).

In the early to mid 1990s in the United Kingdom and in other European countries a widespread fear developed that a variant form of CJD might spread to humans. CJD is a fatal illness—also know as “mad cow disease”—that is well-known to affect bovines. The variant form was thought to have contaminated human beings via the ingestion of beef from cattle affected by the disease. … When the first human cases appeared scientists did not know whether they were observing the tip of an iceberg or whether the relatively few observed cases, tragic as they were, constituted a rather limited and circumscribed occurrence. “Expert scientists” were soon willing to go on record with statements to the effect that “it could not be excluded” that a catastrophe was unfolding. The nonscientific press was all too eager to jump on the bandwagon, and extravagant claims were soon presented, such as that hundreds of thousands, or perhaps even millions, of lives could be lost over the next decade. Specific probabilities were not stated, but the prominence of the reporting only made sense if the possibility of this catastrophic event was nonnegligible: the newspapers, at least judging by the inches of column space devoted to the topic, were not talking about a risk as remote as being hit by a meteorite.

As the months went by … the number of cases did not significantly increase…. Looking at the data available at the time with a statistical eye, I was becoming increasingly convinced that the magnitude of the potential effect was being greatly exaggerated. At just the same time, a well-educated, but nonscientist, friend of mine (a university lecturer) was visiting London and we decided to meet for dinner. As the conversation moved from one topic to another, he expressed a strong belief, formed by reading the nonscientific press, that the spread of CJD would be a major catastrophe for the U.K. population in the next five to ten years. He was convinced, he claimed, that “hundreds of thousands of people” would succumb to the disease. … I challenged him to enter a bet, to be settled in ten years’ time, that the number of occurrences would not be consistent with a major epidemic. My friend refused to take me up on my offer, despite my very attractive odds (attractive, that is, given his stated subjective probabilities). He claimed that “one does not bet on these things”- that he found my proposal distasteful- that, anyhow, he was not a betting man- and so on. I explained that I was not trying to gain material advantage from a possible human disaster, but I was simply probing the strength of his convictions on the matter. Ultimately, the bet was not entered, and the evening was rather spoiled by my proposal.

Julian Simon’s bet with Paul Erhlich is perhaps the most famous example of the use of a bet to test the strength of convictions. Robin Hanson has done a substantial amount of work on the foundations of such &#8220-Idea Futures&#8221- mechanisms. A similar concept underlies Long Bets and the Simon Exchange.

At Long Bets they say, “Long Bets is about taking personal responsibility for ideas and opinions.” That is the basic idea I had in mine when I suggested that “it would be a real public service to run well-conceived prediction markets based on the grandiose political pronouncements of the ‘chattering classes’.” It is all about an author taking personal responsibility for the opinions he publishes by, in effect via the prediction market, offering to fund countering opinions on well-defined claims if and only if those countering opinions turn out to be true.

(See also Chris Masse’s post. I’m not claiming any originality on my part here, I’m just trying to nudge the idea closer to common practice by suggesting a potentially interesting and fruitful area of application.)

Naomi Klein? Ann Coulter? Pat Buchanan? Michael Moore? Maybe they believe what they write, and would be willing to subsidize a prediction market out of their book royalties to demonstrate the strength of their convictions. Or how about the books from the current crop of U.S. presidential candidates—I wonder if these books contain any claims that are specific and substantive enough to be either true or false.

If such punditry-based prediction markets were common, mistaken-but-honest demagogues (those pundits who actually believe what they write, and are willing to stand behind it) would end up subsidizing more thoughtful analysts participating in the markets- correct honest demagogues would end up taking home larger financial rewards- and dishonest demagogues would dissemble, seek to avoid being pinned down on specific claims, and when pressed for actionable claims they would run and hide.

[Cross posted at Knowledge Problem.]