The Case for Decrimininalization of Prediction Markets

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

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 &#8220-betting exchanges&#8221- 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&amp-show_column=660).

The concept behind using prediction markets as a decision-making tool is simple. &#8220-Shares&#8221- 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 &#8220-terrorist strike market&#8221-, unveiled a little too close to 9/11 to be palatable to the general public. The official name was the &#8220-Policy Analysis Market&#8220-, 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 &#8220-grotesque&#8221- and &#8220-stupid&#8221-, 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 &#8220-gambling&#8221-. 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 &#8220-no-action letter&#8221- 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&amp-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&amp-P 500 will close at on a particular date. Distancing prediction markets from &#8220-illegal&#8221- 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
[email protected]

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

VP conditional probabilities

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BetFair is running markets on both who will be the next vice president and who will be nominated by the two parties.

As we&#8217-ve discussed before in other contexts, one can divide two probabilities like these to obtain a conditional probability: e.g., if the Democrats put X on the ticket, they will win the general election Y% of the time (where Y = odds of X becoming VP/odds of X being nominated).

These markets are thin, so the conditional probabilities should be taken with a grain of salt. But they are interesting nonetheless:

The pattern I see here is that conditional probabilities are higher for fresh faces (Webb, Sebelius- and arguably Bayh and Richardson despite their longer tenure) than for the old guard (Clinton, Nunn, Biden).

Of course, these should be viewed as correlations, not necessarily causal effects. For example, two possible explanations are: 1) putting a fresh face on the ticket helps Obama, either because there is less baggage or less of a contrast in national-politics resume length, or 2) Obama will only pick an old guard candidate in the state of the world in which he needs to shore up a weakness (i.e., picking Clinton to end a civil war, or Nunn to add foreign policy experience).
On the GOP side:

Huckabee has the highest conditional probability, and Pawlenty and Jindal are noticeably lower. Interpreting this one is harder: it depends on what aspect of Huckabee one thinks the market is expecting to be appealing (religion, likeability, Southernness, selective economic populism).

Technical note: the bids and asks reported above are actual quotes scrapped this AM- the mids are (bid+ask)/2, rescaled to add to 100 across all candidates.

The definitive proof that FOR-PROFIT prediction exchanges (like BetFair and InTrade) are the best organizers of socially valuable prediction markets (like those on global warming and climate change).

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Last year, I said that the BetFair prediction markets on global warming would fail.

I said:

My prediction is that the first two BetFair Global Warming prediction markets (HSBC Investable Climate Change Index and ECX CFI Futures Contract) will fail miserably.

They failed, indeed. Remain only those two prediction markets, with ultra light volumes: Highest and Lowest UK Temperature.

As for the InTrade prediction markets on climate change (USA agrees before end of 2009 to reduce CO2 emissions by 10% or more by year 2025), liquidity is more than thin.

Now, ask yourself:

  • If BetFair and InTrade (which are for-profit prediction exchanges) encounter difficulties with those &#8220-socially valuable prediction markets&#8221-, why would not-for-profit prediction exchanges (like the Iowa Electronic Markets) be more successful at it?
  • Don&#8217-t you think that the American Enterprise Institute&#8217-s proposals (which would outlaw the for-profit prediction exchanges) are out of whack? I do. Let&#8217-s do something.

In the for-profit vs not-for-profit debate, our prediction market luminaries, doctored by Bob, are on the wrong side of the issue.

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In the American Enterprise Institute’s proposals to legalize the real-money prediction markets in the United States of America, they advise the CFTC not to allow for-profit prediction market companies (like InTrade, TradeSports and BetFair) to operate socially valuable prediction markets &#8212-in a legal way, in the US.

It&#8217-s a shame that our prediction market luminaries signed that piece of ****.

Previously: CALL TO ACTION: Let’s fight so that the CFTC allows the FOR-PROFIT prediction exchanges to deal with “event markets”.

OPEN-SOURCE PREDICTION EXCHANGE: How Smarkets is going to eat BetFairs lunch -well, they hope.

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TechCrunch UK

There’s an interesting twist – they plan to offer an open API for people to develop their own betting applications and use the Smarkets infrastructure. Their idea is this: users don’t need knowledge of odds or experience. It’s more about speed and entertainment than sports.

Smart idea, but how will this crack the chicken-and-egg problem that every prediction exchange (betting exchange) has at inception? How will this help fighting BetFair&#8217-s network effect? What makes you think that BetFair and TradeSports don&#8217-t offer &#8220-speed and entertainment&#8221-? Do people really want to trade sports or &#8220-develop their own betting applications&#8221-? What would prevent BetFair and TradeSports to do the same?

Anyway, best wishes to UK-based Yankees Jason Trost and Hunter Morris. :-D

Smarkets

Smarkets – Their web framework. – PDF file

Smarkets – Open-source software they use.

Smarkets – Press release

Our prediction market luminaries signed Bobs petition -and the losers are InTrade, TradeSports and BetFair.

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I have re-read the American Enterprise Institute’s proposals to legalize real-money prediction markets in the United States of America.

AEI advise the CFTC not to allow for-profit companies (like InTrade, TradeSports and BetFair) to operate socially valuable prediction markets &#8212-in a legal way, in the US.

It&#8217-s a shame that our prediction market luminaries signed that piece of ****.

Long live Steve Levitt and Koleman Strumpf.

And long live the prediction markets on sports&#8230- &#8212-and on anything else.

UPDATE: In the for-profit vs not-for profit debate, our prediction market luminaries, doctored by Bob, are on the wrong side of the issue.

Kudos to BetFairs e-mail marketing team?

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Previous blog posts by Chris F. Masse:

  • The letter David Pennock will never send out —well, we hope.
  • Monitor the web traffic of TradeSports.com, InTrade.com, BetFair.com, Betdaq.com, NewsFutures.com, HubDub.com, etc. —thanks to Google Trends.
  • Here’s the way to promote innovation for entry-order and analysis software packages —separate the 2 functions.
  • Ugly things happened before BetFair was invented
  • Tiny API delay for non-UK customers of BetFair —since all international BetFair bettors, traders and gamblers are now served from Malta, not from London.
  • CLOCK IS RUNNING FAST: 17 days to go, if we want to counter AEI’s push for not-for-profit prediction exchanges.
  • In the for-profit vs not-for-profit debate, our prediction market luminaries, doctored by Bob, are on the wrong side of the issue.

The marketing association between BetFair and TOTE Tasmania works better than expected.

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Mercury

Old MO post on that.

Previous blog posts by Chris F. Masse:

  • Psstt… Spot that comment, on Google News, about… “bellwethers”… from a political scientist.
  • INSIDER’s STORY: The insightful strategic business report about The Evil Empire that Henry Berg does not want you to see
  • Prediction markets are about lowering transaction costs. That’s how sports come in.
  • The birth certificate of the next president of the United States of America –maybe
  • The term “event markets” sucks —and the uncritical thinkers using this crappy term suck too.
  • CLIMBING HIS WAY TO THE TOP: Erik Snowberg is now Assistant Professor of Economics and Political Science at California Institute of Technology.
  • Unlike other countries, the United States of America defends the freedom to offend in speech.

BetFairs brand-new bet matching logic

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BetFair:

Betfair Customer Services 06 Jun 15:55

We held a forum Q&amp-A session in March in which we announced that we were working on an improved version of bet matching. This would allow us to match bets across selections, and to match those bets at better prices than requested where possible, as we do now when matching back bets against lay bets on the same selection. We wanted to provide customers with an update on our progress towards this.

An example of how this would work in practice:

You submit a bet request to back Roger Federer at 1.7, but there are no unmatched lay bets on Federer at 1.7 or higher to match your bet. However, we do have an unmatched customer request to back his opponent at 2.2 already on the system. The way matching works currently there are two possible outcomes:

1. your bet will remain unmatched, or
2. another customer will subsequently lay your bet, and it will be matched at 1.7, the price you requested.

With the improved bet matching process we would match your request to back Federer against the customer looking to back his opponent at 2.2, and provide an improvement to the price you requested. Your bet would be matched at the best possible price that is a valid increment on Betfair’s odds ladder, in this case 1.83.

As we mentioned during the Q&amp-A, doing the necessary calculations for an individual bet on a market with only two selections is relatively simple. However bet matching has to work efficiently in much more complex situations: i.e. in markets with many runners, where bets may be partially matched, and matched against bets at more than one price. We also understand that customers would expect no deterioration in the overall performance of bet matching as a result of us adding this functionality. It’s taken us a little longer than we originally hoped to find a solution that meets all those objectives. However we’ve coded a new version of bet matching, and our performance tests on the new process indicate that it will match backs against lays and bets across selections more efficiently than the existing bet matching process.

We are now into the final few weeks of testing, and expect to be ready to introduce this improvement to the site in early July. Again as we mentioned in the Q&amp-A it was a higher priority for us to find a way to provide price improvements for customers than to resolve issues around the withdrawal of non-runners, so we don’t intend to match bets across selections in horse racing markets in the near future. We’d therefore expect most situations where we would match across selections to occur in the busiest 2- and 3-runner markets, including football and tennis. It’s a busy month ahead for both those sports, and as we believe it’s prudent not to introduce this change at peak times we’ve taken the decision to wait until Euro 2008 and Wimbledon are completed. If Wimbledon is completed on schedule, and assuming remaining testing goes to plan, we expect to make this change to the site on Monday 7th July. We will confirm this nearer the time, but wanted to give customers advance notice as we’ve previously promised.

Thank you for your continued feedback.

More Old Info:

– Michael Robb

– Tony Clare