Could a political campaign use prediction markets?

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This is cross-posted from our Inkling Markets blog where we have far fewer readers than the illustrious Midas Oracle. :)&#8230-

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There are several prediction marketplaces out there for the upcoming U.S. election season and probably more to come. All the ones we know of are intended for participation by the general public. But what if a Presidential campaign ran an internal marketplace? How could prediction markets be used to give a campaign a competitive advantage? We put our political operative hats on for a few minutes and came up with some scenarios:

Resource Allocations

Speaking to veterans of previous presidential campaigns, one of the biggest issues mentioned was building consensus internally on resource allocation across the primaries, then for the general election. Conflicting polling data and infighting among advisors often led to the abandonment of several states where post-mortem analysis of actual voting patterns showed the candidate would have had a chance. Using prediction markets as input to resource allocation decisions, questions could be asked that compare performance metrics across different states, i.e. levels of support among certain voter blocs, predicted endorsements, outcomes of local elections that could impact the general election, etc. This type of information is hard to gather through traditional polling mechanisms but could easily be captured across participants from individual states, locales, and the general campaign.

Fundraising Forecasts

We assume existing forecasting methods used by campaigns are fairly accurate at anticipating how much money will be raised on a quarterly basis from a defined donor list. What may not be as well defined, however, is the impact of various campaign maneuvers on donation levels. For example, a campaign could internally test various scenarios with national campaign staff, field workers, even undecided voters to see if certain activities drive increased fundraising. If the campaign goes through with the activity, the campaign could evaluate the market and pay it out. If not, the market could simply be refunded. Of course, a campaign could also use prediction markets as further input to official forecasts across the different fundraising channels, allowing a more diverse group of people who may have additional insight beyond the &#8220-MBA types&#8221- at campaign headquarters crunching numbers.

Risk Management

(Using Inkling,) questions in a prediction market could be generated by the national campaign and staff at the local level. This &#8220-web of questions&#8221- would be especially useful when trying to anticipate risks to the campaign. The prediction market could be a clearing house of the whispers, rumors, and self-perceived weaknesses of the campaign to continuously test their merit or impact on the campaign. For example, someone from the local staff may be aware of a negative perception the candidate suffers from in a particular voting district. They could run a prediction market about its impacts in an upcoming primary, i.e. &#8220-Will the candidate be perceived as weak on X in analysis of post-appearance local media coverage?&#8221- If the stock price remains low, that issue probably does not need to be dealt with specifically. If it&#8217-s high, it may be an issue the campaign chooses to address proactively ahead of the predicted negative coverage.

Policy Predictions

Given the interest shown to any major candidate, a prediction market gives a campaign an outlet for those supporters wishing to participate in a more meaningful way than simply donating money. A market geared towards public policy across a wide range of issues, both national and local, would be an excellent resource to send people to. Currently most candidate&#8217-s online presence is focused largely on networking, information dissemination, event notifications, and fundraising. A broadly available prediction market would allow people to provide input on what they think will happen from a policy perspective, i.e. will a particular bill pass? How much funding will an initiative receive, etc.? The campaign could then take these predictions as input to shape policy. A similar marketplace could also be set up with a more limited audience of dedicated national and local campaign staff. This marketplace could be augmented with policy experts from around the world to provide additional perspective.

Competitive Analysis

Intended for a tightly controlled group of trusted participants, prediction markets could be run on the performance of the other candidates related to their fundraising levels, endorsements, primary performance, etc. to see how one candidate compares to another. This information would be very useful for strategy formulation. Four years ago some of the candidates tapped the blogosphere to drive early campaign participation and fundraising success.

This year most candidates are trying to build up and leverage their online social networks a la Facebook. Will this campaign season also be the year we see a candidate tapping the collective wisdom of his/her sprawling campaign apparatus?

The war against online gambling

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On 14 November 2007, in a statement made before the House of Representatives Committee on the Judiciary concerning internet gambling, Catherine Hanaway, the Unites States Attorney for the Eastern District of Missouri stated:

It is the Department’s view, and that of at least one federal court (the E.D.Mo.), that this statute (The Wire Act) applies to both sporting events and other forms of gambling, and that it also applies to those who send or receive bets in interstate or foreign commerce, even if it is legal to place or receive bets in both the sending jurisdiction and the receiving jurisdiction&#8230-.. Currently, the FBI has several pending investigations concerning Internet gambling and the FBI has been the lead agency on several other investigations, which have already led to prosecutions. The FBI coordinates and consults with the Department on issues arising in Internet gambling investigations, particularly on international issues.

http://www.bettingmarket.com/deptofjust990007.htm

BetFair-TradeFair fights corruption, while TradeSports-InTrade does not.

No GravatarTennis Corruption - NYT

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BetFair-TradeFair is legal and has ethics, while TradeSports-InTrade is not and has none.

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Via Steve Roman who provides the recap and another excerpt, The New York Times:

[&#8230-] At the center of the investigation is Betfair, one of the largest so-called online sports exchanges, which matches bettors directly against each other, rather than against the house, as traditional bookmakers do. Betfair set off the current crisis when it voided $7 million in bets after Mr. Davydenko withdrew from a match against 74th-ranked Martin Vassallo Arguello of Argentina at the Prokom Open in August in Sopot, Poland. Mr. Davydenko retired because of an injury with Mr. Vassallo Arguello ahead, 2-6, 6-3, 2-1. During the match, Betfair notified the ATP that its security team had recognized irregular betting patterns.

[&#8230-] At Betfair, which is based in London, tennis ranks third behind horse racing and soccer among its one million customers, who together place five million bets each day. More than $60 million was handled for the Wimbledon’s men’s final, won by Roger Federer over Rafael Nadal.

Robin Marks, a Betfair spokesman, said the decision to void the bets from the match in Poland — the first time the company had ever done so — was an easy one. A large amount of money was coming in for the obscure match, Mr. Marks said, and the betting patterns made little sense: Mr. Davydenko went from an odds-on favorite to a significant underdog before the match started, and his odds drifted higher and more money came in for Mr. Vassallo Arguello even after Mr. Davydenko won the first set.

By the next morning, Betfair’s 40-person security team had unearthed additional information by combing its records and tracing unique Internet addresses. Betfair passed on that information in accordance with the ATP’s anti-corruption program, which was put in place in 2003 in the wake of a match-fixing scandal in cricket. Mr. Marks said Betfair has similar agreements with 28 other sports leagues on which it takes bets. He declined to specify what Betfair had found. “Why would the betting patterns change before a ball was even hit?” Mr. Marks said. “Why would more money come in against him when he had already won the first set? You come to the assumption that somebody knew something.” [&#8230-]

Previously: BetFair has an anti-fraud team whereas InTrade-TradeSports has none.

Read the previous blog posts by Chris F. Masse:

  • Terrorism Futures
  • InTrade-TradeSports and BetFair-TradeFair should take a close look at Cantor Fitzgerald’s strategy to gain a share of the $100 billion U.S. gambling industry.
  • The secrecy-seeking Mark Davies is solely to blame for all this mess… but this vibrating BetFair spin doctor has managed to repair the PR damages quite brillantly, it shall be said.
  • A Betting Exchange = A Bookmaker —> !??
  • BetFair’s new bet matching logic + BetFair Malta’s trading on the multiples
  • Dick Cheney, the new Churchill?
  • BetFair Malta’s combo market maker (trading algorithm + human market makers) operating on the multiples

Yes, Economics is a Science.

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ESA:

The Economic Science Association (ESA) is a professional organization devoted to economics as an observational science, using controlled experiments to learn about economic behavior. The ESA welcomes participation by economists interested in the results of such experiments, as well as scholars in psychology, business, political science, and other related fields.

What is experimental economics?

Experimental methods allow us to control economic institutions, information, policies, and other important variables, both in the laboratory and in the field. Laboratory techniques also make it possible for us to observe and control variables that would not be observable in the field, such as the preferences of buyers and the costs of sellers in the trading of an artificial good.

Experiments have provided important information about economic behavior in a variety of subdisciplines of economics, including game theory, consumer behavior, industrial organization, public finance, and labor economics.

Is economics a science? Greg Mankiw and Tyler Cowen answer &#8220-yes&#8221-. See also Wikipedia.

BetFair embrace decision markets.

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Betfair has launched a series of innovative betting markets which will provide clear indications of how public opinion views the on-going debate about climate change, by allowing people to speculate on climate indices developed to track the extent (or otherwise) of global warming.

Betfair’s exchange model will create a market price for climate change related outcomes, including the HSBC Investable Climate Change Index, the ECX CFI Futures Contract, and Highest and Lowest UK Temperature. The commission that Betfair earns from operating these markets will be ring-fenced and invested in the development of technologies to tackle the wider issue of climate change.

In what is a major blow to prediction markets supporters, the Betfair press release refers to aggregating market mechanisms as &#8220-decision markets&#8221-, rather than &#8220-prediction markets&#8221–

‘Decision markets’ have historically proved to be accurate gauges of political, economic and cultural change and better forecasters of the future than opinion polls and expert forecasts. Efficient market theory suggests that these climate markets will be the best aggregation of all the available information on the subject. This is the ideal place for experts, academics, businesses and interested parties to put money behind their views on long-range forecasts.

It remains to be seen how Chris Masse responds to the Betfair announcement.

[External Links: HSBC Climate Index + Carbon Futures + Highest and Lowest UK Temperature Futures]

Polls over prediction markets?

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&#8216-Are Political Markets Really Superior to Polls as Election Predictors&#8217- is a paper by Robert Erikson and Christopher Wlezian that calls into question whether prediction markets, and specifically IEM, is as accurate as proponents of prediction markets claim. The paper was highlighted here where it was suggested that advocates of prediction markets were turning a blind eye to it.

In the paper the authors show that while when you compare IEM with raw polls, IEM outperforms the polls however when you manipulate the poll data the polls are more accurate. The generate the manipulation the authors looked at poll data from elections from 1952 onwards which show that over time the early leader tends to lose that lead. They then used that relationship to manipulate polls for elections from 1988 onwards and compared the result with the IEM forecasts. The manipulated polls showed a higher level of forecast accuracy.

I think this is an interesting piece of research but it is a stretch to use this to claim that polls are more accurate than prediction markets. The fundamental problem is that when newspapers (or anyone else for that matter) quotes polls, they don&#8217-t refine them using historical data, they quote the actual poll result. If anything the authors have shown a small bias in IEM that one would now expect to get traded out (like the longshot/favorite bias in betting markets or the January effect in financial markets).

Fundamentally, the thing to note is that while polls make prediction markets more accurate, the converse does not hold.

Decision markets are markets where speculators set prices that estimate the consequences of a decision.

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&#8230- writes Robin Hanson (who is into prediction markets since the late 80s, and who is the smartest scholar on this topic).

I would call that &#8220-decision-aid markets&#8220-, then. And I would have the term &#8220-decision markets&#8221- define the strongest form of this tool, envisioned originally by Robin Hanson (PDF file) &#8212-that is, when the execution of the market-generated decision is compulsory.

LinkedIn vs. FaceBook prediction market

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Read and Write Web:

[…] However I am interested in prediction markets, so how about we define a specific prediction and then revisit it in six months? If Facebook and/or LinkedIn were public companies, we could test our predictive powers in the stock market with real money. However because they are private companies (for now), we can just do this for fun and bragging rights. Anyway public companies are now all boring, predictable enterprises- we have to recreate the fun in the private markets.

So the prediction, we think, from Stowe is this: “In 6 months Facebook will have more of your business contacts than LinkedIn”. We&#8217-ll check back in 6 months whether that prediction comes true. […]

Their poll shows that LinkedIn has the lead over FaceBook (this early Monday morning):

LinkedIn vs. FaceBook

Maybe PopSci PPX will be interested in floating a LinkedIn vs. FaceBook event derivative. I suspect that they would like to settle such an event derivative with objective, primary data &#8212-as opposed to an online poll.

UPDATE: Latest results of the poll&#8230-

LinkedIn vs. FaceBook

REMINDER: Midas Oracle is going to make an important announcement, soon.