In a truly efficient prediction market, the price will come to reflect the influence of all available information.

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Justin Wolfers in the Wall Street Journal:

[…] Through this process of different people trading based on their own observations about the race, prediction markets prices come to aggregate disparate pieces of information into a single summary measure of the likelihood of various outcomes. Moreover, if this market operates efficiently, it will appropriately summarize all of this information and the price will become the most statistically accurate forecast of the election outcome. […]

If I may, I would like to jot down some thoughts related to my concept of prediction market journalism.

  1. The explainer on prediction markets is pretty good.
  2. Crappy URL: http://online.wsj.com/article/SB119902559340658043.html?mod=rss_Politics_And_Policy
  3. No way to leave a comment.
  4. WSJ did list (in one of the sidebar boxes) BetFair along with InTrade &#8212-good point.
  5. WSJ didn&#8217-t list NewsFutures and Inkling Markets but listed their own play-money, bots-driven prediction exchange (WSJ Political Market) &#8212-bad point (conflict of interest).
  6. No external links embedded in Justin Wolfers&#8217- text &#8212-there are very good resources listed in the sidebar boxes, though (but the links use JavaScript and are not direct).
  7. No static or dynamic prediction market charts, even though Justin Wolfers spent a good deal of air time analyzing the recent prediction market events &#8212-a concept he formalized with Eric Zitzewitz.
  8. No tips &#8212-&#8221-I can&#8217-t predict what these trends will be […]&#8220-. Sounds like the prediction market approach (declaring that the market is a better forecasting tool than the polls or the experts) kills any anticipation and scenario planning. It shouldn&#8217-t be like that. Prediction market journalism can&#8217-t be only about analyzing the past. More on that in the coming weeks on Midas Oracle &#8212-not in the WSJ.

For all these reasons, I can give more than a straight B to Justin Wolfers&#8217- copy. You can do better than that, prof. :-D

The market moved but is it news?

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In financial markets there is strong evidence to suggest that news gets priced into markets within 15 minutes of its release and sometimes even more quickly. Recent research into prediction markets suggests that they aren’t nearly as efficient with researchers from University of Pennsylvania showing that prices on IEM can be predicted using public news flow.

Doing a simple analysis of some the key events in the 2008 Presidential Elections against prices on Intrade shows that on discrete events there is a clear relationship between prices and news flow. However over longer periods the relationship is not always clear.

On the 4th of March CBS announced the results of a straw poll conducted at the conservative PAC convention in Washington DC. They picked Romney as their favourite. Romney’s price on Intrade lifted immediately where it stayed for about a week.

Romney price

On the 11th of April the Fred Thompson revealed on Fox News and ABC Radio that he had been diagnosed with non-Hodgkin’s lymphoma nearly three years prior. The New York Times and other publications picked up the story the next day. Looking at his price chart shows he opened on the 12th of April at 19 but then closed at 15. The next day he opened at 11.2 but then closed at 17, as the story died down.

Thompson price

In both these cases, the news stories the media considered to be the important ones correspond with the news flow that traders thought was important.

However, the most interesting market movement of the year must be the Obama August slide. On the first of August Obama opened on Intrade at 35.5 but by the 24th of that month he had slide to 17.2. He continued sliding hitting a rock bottom of 10.7 on the 14th of October.

Obama price

The question is what was the news flow on Obama from the 1st of August to the 24th of August? Analysing the news articles in the New York Times suggests a disconnect between what was reported and how the market was reacting. Obama started August badly with a bungled comment on use of nuclear weapons.

Additionally, his continued line that stabilisation of Iraq had been a ‘complete failure’ may also have cost him some points.

However in sum these news items don’t seem to correlate with an 18 point slide. This could lead us to two possible conclusions:

  1. The New York Times didn’t report the most market sensitive news affecting Obama in August
  2. Obama was over-sold in August and his price did not reflect his true value

Cross-posted from the Hubdub blog.

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?

What about a blog post in support of TradeSports-Intrade??

Alex Forshaw, Caveat Bettor, Steve Roman, Sacha Peter, Brad, and company:

– Would you be interested in drafting and signing a collective blog post in support of TradeSports-InTrade. It would be cross-posted on all the traders&#8217- blogs.

Read the last blog posts by Chris Masse: