Intrade lists Global Warming Contracts!

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The announcement is here.

I asked for them at the end of 2006/beginning of 2007 (the post was on Jan 10 2007, but I think I requested them first). A conversation at Midas Oracle, a few months later.

The Contract Rules need more precise specification. While Intrade did use my suggestion of the Goddard Institute for Space Studies data to value the contract, I think Intrade must specifically state that the &#8220-J-D&#8221- January-December annual mean temperature series is being used, and on either the Global Mean Monthly data set, or else the Global-Land Ocean Temperature Index data set.

I personally prefer the latter, as ocean temperatures play a huge role in ice melts as well as other weather phenomena (e.g. hurricane frequency and intensity, even this political advocacy group pretending to be scientific says so). In any case, the two series are generally correlated well, so I have no strong preference which one Intrade specifies.

I used the latter of course, in working with Adam Siegel and the folks at Inkling Markets to create the very first Global Warming prediction market.

Cross-posted from Caveat Bettor.

Previous blog posts by Caveat Bettor:

  • Land-Ocean year-to-date temperatures 0.35 Celsius over baseline
  • Final InTrade v. Zogby Showdown Results
  • Intrade beats Zogby on Super Tuesday
  • Super Tuesday Showdown: Intrade v. Zogby
  • The Democrat SC Showdown: Intrade v. Zogby
  • Zogby beats Intrade in predicting Nevada caucus winner Clinton.
  • The GOP SC and Dem NV Showdown: Intrade v. Zogby

Getting from Collective Intelligence to Collective Action

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I really enjoyed attending the Collective Intelligence FOO Camp, sponsored by Google and O&#8217-Reilly Media, last weekend. I&#8217-d been expecting a sort of geek slumber party, and had looked forward to rolling out my awesome Darth Vader impersonation. I was all set to cut loose with a growling, &#8220-I&#8217-m your father, Luke.&#8221- It didn&#8217-t quite come to that, but I still had a blast, meeting lots of smart, informed, articulate, creative, and successful people. Friendly people, too.

I described how to establish the legality of real money, open-access prediction markets under U.S. law. I called my presentation, Getting from Collective Intelligence to Collective Action [PPT file]. In very brief, I proposed this algorithm:

  1. Set up an enterprise prediction market, make playing it a condition of continued employment, and offer valuable prizes to the best predictors.
  2. Set up a limited access prediction market, hire a number of independent contractors researchers to play it, pay them a relatively low salary for doing so, and offer valuable prizes to the best predictors.
  3. Set up an open-access prediction market but require anyone playing it to go through a click-wrap license that creates the sort of independent researcher relationship described at step 2, above.

When and if standing for declaratory judgment obtains, a litigation team should bring suit seeking to establish the legality of the prediction market under U.S. law. The market should be run by a worthy institution and deal only in claims likely to generate large positive externalities. Google.org, for example, might set up a market in earthquake claims and ask for a court&#8217-s blessing.

That strategy would stand a fair chance&#8211-a 75% chance, I&#8217-d say&#8211-of establishing the legality of a great many in-house and (effectively) public prediction markets under U.S. law. The strategy would not impose great costs or risks, though it would take some careful planning and execution, and would almost certainly generate large private and public goods. It might even save lives- we could really use a reliable early-warning system for major earthquakes.

This legalization program would most directly benefit subsidized markets- it would not plainly establish the legality of markets where traders could invest their own funds or hedge against off-market risks. I&#8217-m still working out a legal hack for that step. It will be an easier step to take, however, if we&#8217-ve already made it as far as establishing the legality of open-access, real money prediction markets under U.S. law.

We should still pursue other routes to establishing the legality of prediction markets under U.S. law, of course. It already helps that so many U.S. residents evidently make and lose money on Ireland-based InTrade. That at least goes to show that prediction markets hurt nobody. Getting the CFTC to issue safe-harbor regulations would help, too. All of those routes to public, real money prediction markets in the U.S. merit exploration. Any of them might offer a shortcut to a better, freer future.

[Posted at Agoraphilia, The Technology Liberation Front, and Midas Oracle.]

2009 tax futures yielding 1.5%

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The &#8220-&gt-34&#8243- contracts are being offered at 96. If you discount the possibility of the marginal tax rate for that year being below 34%, this is an annual yield of about 1.5%, after transaction fees. The 2010 &#8220-&gt-34&#8243-s are paying around 1.35% and the 2011s, 1.2%. Buying any of those allows you to sell higher contracts on the ladder at reduced margin, as described before.

A possible trade that stands out on the board is to sell the 2010 &#8220-&gt-36&#8243-s in the high 70s and buy the 2010 &#8220-&gt-38&#8243-s for 50. I don&#8217-t see how a spread of 30 is warranted there, as any legislation that accelerates the Bush tax cuts sunset will likely put the highest marginal rate at 39.6%, higher than 38% at least. That is, I think the market&#8217-s implied probability of the rate ending-up in the 36-38 bin is too high. This trade would make roughly a 39% return on frozen margin, which could be improved to 50% by additionally buying the &#8220-&gt-34&#8243-s at 95. (unannualized)

Quake Markets

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Markets offer us a potentially useful tool for predicting earthquakes. Imagine the San Andreas fault divided into segments, each of which carries a price based on the present discounted disvalue of a future quake. That price would reflect both a quake&#8217-s place in time and its place on the Richter scale. Such a market in quake claims would probably generate some useful&#8211-even lifesaving&#8211-data. If sufficiently thick, it might offer hedging, too.

I&#8217-ve not yet found that sort of quake market. Has any of you? If none exists, at least one should! Plenty of people and institutions would love to know more about earthquakes. Some of them would gladly support an earthquake market, I&#8217-d bet. There remain some legal risks, granted, but I think I&#8217-ve got a good hack for those. (Long story short: independent contractor researchers paid a base salary for making trades and winning bonuses for correct predictions.)

One nice thing about a quake market: Done right, it would generate powerfully positive externalities, benefiting even those who do not trade on the market. Imagine a map of the San Andreas fault, the price of each tradable segment illustrated by color coding or line thickness. One glance at that picture, and you would know whether it was time to relax, double-check your emergency kit, or head for the hills.

[Crossposted to Agoraphilia.]

Talking tax futures on BNN, Canadas business channel

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Except for that stupid smirk, not terrible for my first t.v. appearance.

It&#8217-s 23:45 minutes in, here.

Afterwards, I met some of the guys from CNBC&#8217-s Fast Money, who were great. I wouldn&#8217-t mind doing it again.

Intrade beats Zogby on Super Tuesday

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Both the prediction market and the pollster called 5 of the 7 head-to-head contest winners, so it was mostly ties between them. But in the NJ Democratic primary and the California Republican primary, Intrade contracts pointed to the winner on election eve, while Zogby indicated a tie in NJ and Romney in California.

Standings&nbsp-&nbsp-&nbsp-&nbsp-
WinsLossesTiesPctContenderAvg Eve Prob
&nbsp-&nbsp-&nbsp-&nbsp-&nbsp-&nbsp-
52959.4%Intrade69.6%
25940.6%Zogby39.2%

Contest-by-contest breakdown at Caveat Bettor.

I was disappointed that Zogby only presented polling on 7 of the 20 contests on Super Tuesday.

How political prediction markets save lives

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Over the years there has been a lot of talk in this community about how prediction markets could be &#8220-socially valuable&#8221-. The discussion has often focused on the value of the information and/or predictions that the markets could generate, especially in a political context. Election-based decision markets a la Hanson are thus being held as the highest form of &#8220-socially valuable&#8221- prediction markets, and our best bullet aimed at a possible legalization of real-money markets.

However, just in time for Super Tuesday, I&#8217-ve finally stumbled onto a totally different, and to my mind much more compelling societal benefit of political prediction markets (the real-money kind, like Intrade or Bet2Give). It&#8217-s based on sound science, but has nothing to do with information, prediction accuracy, or the usual economics/decision-support suspects:

Participating in political prediction markets may be good for your health by virtue of reducing the killer stress caused by aggravating political outcomes over which you have very little control as a voter. In essence, you can hedge against despair, and thus reduce your political &#8220-learned helplessness&#8221-. I present this idea more completely, and the science behind it, in NewsFutures&#8217- blog.

The interesting thing is that it should be relatively easy to test, say as a senior psychology research project, but the consequences of a positive result would be huge. Who could argue against the legalization of something that saves lives?

So let the word go forth on this day that if there&#8217-s someone out there who would like to run such an experiment, the industry would gladly help out, either through the PMIA, or through individual stake holders like NewsFutures. And if you&#8217-re in an economics department, please reach out across the social sciences aisle to your psychology colleagues and spread the word! This, by the way, is especially aimed at Justin Wolfers who happens to share the U. Penn campus with Martin Seligman, the founder of Positive Psychology himself, and the inventor of &#8220-learned helplessness&#8221-.

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.

&#8230-

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.