Super Tuesday Showdown: Intrade v. Zogby

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Up at Caveat Bettor.

Zogby poll numbers here. Intrade snapshots taken at 1pm. Here are the notable divergences between the pollster and the prediction market:

NJ Dem: Intrade calling for Clinton, while Zogby in a tie.

CA Rep: Intrade calling for McCain, while Zogby calling for Romney.

Standings&nbsp-&nbsp-&nbsp-
WinsLossesTiesPctContender
&nbsp-&nbsp-&nbsp-&nbsp-&nbsp-
3240.556Intrade
2340.444Zogby
Schedule&nbsp-&nbsp-&nbsp-&nbsp-&nbsp-&nbsp-
ScoreDate&nbsp-StatePartyIntradeZogbyWinner
&nbsp-&nbsp-&nbsp-&nbsp-&nbsp-&nbsp-&nbsp-&nbsp-
3-2-429-Jan&nbsp-FLRepMcCain2-way-tieMcCain
2-2-426-Jan&nbsp-SCDemObamaObamaObama
2-2-319-Jan&nbsp-SCRepMcCainMcCainMcCain
2-2-219-Jan&nbsp-NVDemObamaClintonClinton
2-1-215-Jan&nbsp-MIRepMcCain2-way tieRomney
2-0-28-Jan&nbsp-NHDemObamaObamaClinton
2-0-18-Jan&nbsp-NHRepMcCainMcCainMcCain
2-0-03-Jan&nbsp-IADemObama3-way tieObama
1-0-03-Jan&nbsp-IARepHuckabee2-way tieHuckabee

Super Tuesday = Free money, if you are smarter than the crowd

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At Overcoming Bias, Eliezer Yudkowsky invites pundits, partisans, and anyone else with a nascent opinion about the limits of prediction markets to, in effect, put up or shut up. (Though he puts it in somewhat nicer words). Here is a selection, but read the whole thing:

If you think that Hillary is going to do better than the polls on Super Tuesday, and you&#8217-re going to sneer afterward and say that Intrade was &#8220-just tracking the polls&#8221-, buy Hillary now.

If you think that Obama is going to do better than the polls on Super Tuesday, and you&#8217-re going to gloat about how prediction markets didn&#8217-t call this surprise in advance, buy Obama now.

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The point is not that prediction markets are a good predictor but that they are the best predictor. &#8230- If prediction markets react to polls, they&#8217-re getting new information, that they didn&#8217-t predict in advance, which happens. Being the best predictor doesn&#8217-t make you omniscient.

Everyone&#8217-s going to find it real easy to make a better prediction afterward, but if you think you can call it in advance, there&#8217-s FREE MONEY GOING NOW.

Buy now, or forever hold your peace.

Merger Markets on Microsoft-Yahoo

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HP began to explore prediction markets in 1996, but did not even consider applying them to the 2002 HP-Compaq merger. Similarly, Yahoo and Microsoft are two of the companies mentioned most often as being involved in prediction markets (along with their main competitor Google), but I&#8217-ll bet none are considering the by-far-most-valuable markets they could create, on their just-announced proposed merger.

Decision markets could say whether this merger is good for shareholders, by estimating the combined stock price given a merger, and given no merger. Similarly, decision markets could say whether this merger is good for these firms&#8217- customers, by estimating the price and/or quantity of web ads given a merger, and given no merger. This might help convince regulators to approve the merger.

My main doubt here is whether ad price and quantity are good enough measures of the merger&#8217-s social benefits – what other outcomes could such markets estimate, to speak more clearly? And this is a very clear demonstration that these companies are just not serious about finding the highest value applications of prediction markets.

Cross-posted from Overcoming Bias.

Xpree = Innovations + Prediction Markets

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Xpree launches Open Innovation Markets, a simplified betting interface and also a new website.

Open Innovation Markets combines crowd based innovation, voting and prediction markets. The idea is to brainstorm as a community, vote on the ideas to rank them, then forecast key metrics using a market (cost to develop etc). Prediction markets work well for the estimations of unbiased key metrics, combining this with voting allows the crowd to bet on only the top ranked ideas.

In an effort to make truly Usable Markets, we changed from a &#8220-stock trading&#8221- metaphor to a &#8220-betting&#8221- metaphor. In research, we found that players found shorting stock to be a lot less intuitive than going long. With betting, &#8220-I bet $100 that X is lower than 3,000&#8243- is as easy as saying &#8220-I bet $100 that X is higher than 3,000&#8243-, and is a whole lot easier than &#8220-I sell short 10 stock units at an average price of $X, and cover this with $Y&#8221- etc. We have some demos on our site for you to try out. For the prediction market purists out there, we still allow the player to see the underlying prediction market dynamics – no black boxes at Xpree.

Feedback welcome.

prediction markets

Search engine futures!

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Cross posted from Oddhead Blog.

I am happy to report that on my suggestion intrade has listed futures contracts for 2008 search engine market share.

Here is how they work:

A contract will expire according to the percentage share of internet searches conducted in the United States in 2008. For example, if 53.5% of searches conducted in the United States in 2008 are made using Google then the contract listed for Google will expire at 53.5&#8230-

&#8230-Expiry will be based on the United States search share rankings published by Nielson Online.

I think this could be a fascinating market because:

  • Search engine market share is very important to these major companies, with dramatic effects on their share prices.
  • Search engine market share is fluid, so far with Google growing inexorably. However, Microsoft has cash, determination, Internet Explorer, and the willingness to experiment. Ask.com has erasers, 3D, ad budgets, and The Algorithm. Yahoo!, second in market share, often tests equal or better than Google, and new features like Search Assist are impressive.
  • The media loves to write about it.
  • A major search company might use the market to hedge. Well, this seems far-fetched but you never know. Certainly, from an economic risk management standpoint it would seem to make a great deal of sense. (Here, as always on this blog, I speak on behalf of myself and not my company.)

Finally, I have to comment on how refreshingly easy the process was in working with intrade. They went from suggestion to implementation in a matter of days. It&#8217-s a shame that US-based companies are in contrast stuck in stultifying legal and regulatory mud.

Fundamentals of Prediction Markets: Probabilities, Prediction Timescale, and Absolute & Relative Accuracy

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Jed Christiansen outputs the best explainer on prediction markets I&#8217-ve seen in years. Go read it.

– Fundamentals of Prediction Markets
– Different types of Prediction Markets
– Problem #1 – Understanding Probabilities
– Problem #2 – Prediction timescale
– Problem #3 – Assessing accuracy
– Problem #4 – Compared to what?
– Summary – How have the political prediction markets really performed?

No more anonymized trading data, please. State your source(s).

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I think that&#8217-s the takeaway from the BetFair blog fiasco.

My questions are still unanswered this morning. What data was used to concoct that dithyrambic write-up about the predictive power of the &#8220-betting markets&#8221- on the 2008 US primaries and caucuses (and in particular the Michigan race)? BetFair? If so, please, send me the expired charts. InTrade? Another source? A cocktail of sources? Please, cite everything, so we can check.

I will blog about this issue, every day, till it is resolved &#8212-one way or another. I&#8217-m resilient.

I&#8217-ll blog about this BetFair blog fiasco for the whole year of 2008, and more, &#8220-to infinity and beyond&#8221- (as said Buzz LightYear in Toy Story), if that&#8217-s what it takes to get answers from Hammersmith and Nottingham. Those folks are as voluble as yellow canaries, usually, when it comes to touting their wares. Cat got their tongue? What data did they use for their dithyrambic blog post? Is that so confidential?

Did the BetFair blog use trading data from InTrade to hint at BetFairs accuracy??

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Latest update on the BetFair blog fiasco

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I am alerted today that the BetFair blog has updated its infamous Michigan story with a new compound chart bearing a clearer label. It reads now:

Republican nomination – The race so far

I&#8217-ll have some comments, below the chart, but first a technical note. The new chart posted is a 527-KB BMP image. I have replaced it with a 32-KB JPG image. The BetFair blog is not run professionally. Any web publisher knows that images should be reduced to the max. That&#8217-s the ABC of web publishing. (And to add insult to injury, I noted previously the technical bizarrery that the two professor Leighton Vaughan-Williams&#8217-s stories never appeared in the BetFair blog feed.)

For you information, I have updated all my previous blog posts on the topic with an addendum re-publishing this new chart.

Compound chart - BetFair blog fiasco

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UPDATED ANALYSIS OF THE BETFAIR BLOG FIASCO:

  1. Professor Leighton Vaughan-Williams should have defined what he means by &#8220-betting markets&#8221-, in his story. In the past (see the addendum of that story), prof Leighton Vaughan-Williams used two types of cocktail &#8212-one including all betting markets (traditional bookmaker odds and exchange odds), one including only the BetFair odds. He should publish an addendum to his story defining exactly what he means by &#8220-betting markets&#8221-, this time.
  2. The BetFair blog editor should not have pasted a BetFair compound chart behind the writer&#8217-s back. It&#8217-s a big no-no in editing. Again, another proof (in a long list) that the Betfair blog is not run professionally.
  3. If a chart were to be inserted on top of LVW&#8217-s story (with his consent, we hope), it should have been the expired chart(s) of the Michigan primary, since that&#8217-s the heart of LVW&#8217-s story.
  4. The fact that the BetFair blog editor pasted (behind LVW&#8217-s back) a BetFair chart lead the readers (like Niall Or&#8217-Connor and me) to conclude that professor Leighton Vaughan-Williams means &#8220-the BetFair betting markets&#8221- when he writes about &#8220-the betting markets&#8221-. This is probably not the case, but nobody knows for sure &#8212-see my point #1 for the need of an explainer on this.
  5. Now, if professor Leighton Vaughan-Williams means &#8220-the BetFair betting market&#8221- (I assign a low probability on this scenario), then the story looks bad. The story is bullish on the fact that the Mitt Romney event derivative (for the Michigan primary) was predictive. The election-day chart that I published yesterday evening (and republished below) shows Mitt Romney being the favorite starting at 3:00 PM EST on election day&#8230- Kind of a stretch to claim victory for the BetFair betting markets. I&#8217-m still waiting for BetFair to send me the full, historical chart on the Michigan primary.
  6. BetFair should publish all expired charts &#8212-just like InTrade-TradeSports are doing. See my new page, re-publishing some important expired prediction market charts. That way, any controversy could be settled more quickly.
  7. With all due respect to him, it looks bad on professor Leighton Vaughan-Williams for giving his writings to a corporate blog where the publisher and editor&#8217-s names are not listed anywhere, and whose overall content quality is feeble &#8212-to say the least. Especially since we read the testimony of a furious Betair blog writer, who described the BetFair blog editor as anonymous, incompetent and tyrannical.
  8. Besides Niall O&#8217-Connor&#8217-s critical comments, professor Leighton Vaughan-Williams&#8217-s story on the BetFair blog has attracted a negative comment, calling his argument &#8220-questionable to say the least&#8220-, and asking (as I am doing on this current post) for more data to be published in an addendum.
  9. It looks bad on the BetFair management for publishing completely crappy stories like that. It damages the BetFair brand. I should tell my readers, though, that the BetFair-TradeFair managers (like Michel Robb, Tony Clare, Mark Davies, David Jack, Robin Marks, etc.) are highly professional, efficient, law-abiding, forward-looking, helpful, ethical, polite, and respectful. It is a real pity that the BetFair blog tarnishes BetFair&#8217-s reputation.
  10. Betair should focus on being a prediction market resource for journalists and bloggers. As of today, they still don&#8217-t provide on their website dynamic charts and expired charts.
  11. As I repeated many times on Midas Oracle, prediction market journalism is hard, complex and costly. It can&#8217-t be done by any living organism (hermaphrodite or not :-D ) simply equipped with a computer and an Internet connection.

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As an addendum, I re-publish here the election-day Michigan chart (on the Republican side). As I said, I&#8217-m still waiting for BetFair to send me the full, historical chart. You can see, on this Republican-side chart, Mitt Romney (in red) as the Comeback Kid &#8212-starting at 3:00PM EST on election day (that&#8217-s 8:00 PM, British time, on the chart).

Rep Michigan BetFair

For your information, here&#8217-s what professor Leighton Vaughan-Williams wrote. As I said, an explainer from him is needed to determine whether he means the &#8220-betting markets&#8221- in general (with, or without, BetFair included?) or the &#8220-BetFair betting markets&#8221-.

Professor Leighton Vaughan-Williams on the official BetFair blog:

[…] Those taking the same advice on Tuesday evening [2008-01-15 = date of the Michigan primary] were similarly well rewarded as well-backed Mitt Romney stormed into clear favouritism in the markets and a comfortable victory at the polls. After a blip in the New Hampshire Democratic primary the old certainties – that election favourites tend to win elections – was re-established.

As in the Republican New Hampshire primary, the polls and pundits had declared the race between Senator McCain and Governor Romney as a toss-up while the betting markets pointed to a comfortable victory in both cases for the eventual winners. Once again, in the battle of the polls, pundits and markets, the power of the betting markets to assimilate the collective knowledge and wisdom of the crowd had prevailed. […]

As for the InTrade &#8220-betting markets&#8221-, if that&#8217-s what professor Leighton Vaughan-Williams means (solely, or among others), they show a strong support for Mitt Romney in the last 2 days (which includes election day). Kind of a stretch to claim a victory for the &#8220-betting markets&#8221-. Also, it would be funny to have the (anynomized) InTrade data interpreted on the blog of another exchange (BetFair, a competitor of InTrade-TradeSports) to hint about the alleged strength and accuracy of the BetFair &#8220-betting markets&#8221-. That would be the last drop that breaks the water bucket. Another reason why professor Leighton Vaughan-Williams should come forward to explain what he means by &#8220-betting markets&#8221- in his story. Does he mean the &#8220-InTrade betting markets&#8221-???

(FYI, the Mitt Romney event derivative was expired to 100.)

MI Rep Romney

Psstt&#8230- Sounds like a vertical line is lacking on this chart&#8230- Look at the right end&#8230- Bizarre.

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NEXT: No more anonymized trading data, please. State your source(s).

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Prediction market sessions of the OReilly Money-Tech Conference suffer fatally from the absence of the worlds most knowledgeable, most innovative and most trustworthy prediction market expert.

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O&#8217-Reilly Money-Tech Conference – 2008-02-06~07

Predicting the Future of Prediction Markets + Google as Prediction Market

Wharton&#8217-s Justin Wolfers, Google&#8217-s Bo Cowgill, Inkling&#8217-s Adam Siegel, and Sean Park (representing Himself).

No more Robin Hanson. :(

Better to stay home watching a re-play of the December 2006&#8217-s Yahoo! Confab, where Robin Hanson does appear.

Confab Yahoo! on prediction markets – Streaming Video: 100k300k – 2006-12-13

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UPDATE: Robin Hanson comments&#8230-

I was invited, but the date conflicted with a SETI conference I&#8217-ll be speaking at.

NIALL OCONNOR ATTACKS THE INTELLECTUAL HONESTY OF THE PREDICTION MARKET RESEARCHERS.

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Niall O&#8217-Connor (who maybe ate grilled snake for his Sunday morning breakfast :-D ):

The current trend to promote almost illiquid betting markets as being predictive, looks set to backfire bigstyle. In a nutshell, to date the so called &#8220-prediction markets&#8221- have called it wrong in New Hampshire (Democrats), Michigan (Republicans) and South Carolina (Republicans). Prediction market advocates, in many instances weighed down with the baggage of being too closely associated with the prediction market industry, are guilty of churning out subjective, biased research, in an attempt to promote the industry and lure traders into the markets. Unscientific comparisons are continually made between prediction markets and polls, and, moreover, markets are deemed to have been predictive, when all they have actually done is [respond] to the unwinding of the vote count. The publication of such utter garbage does nothing but a big disservice to the fledgling prediction market industry. Moreover, it is unfortunate that prediction market industry watchers, who purport to be independent and subjective, indulge the writers of such nonsense, in the process revealing themselves to be nothing more than placemen and sycophants of unquestioning loyalty. […]

Names, please, Niall.

  1. Who are those corrupted &#8220-prediction market advocates&#8221-?
  2. Who are those rotten &#8220-prediction market industry watchers&#8221-?

By the way&#8230- I will have the charts of the expired BetFair contracts, soon, I hope- and I will publish them here for all to see.