Archive for March, 2006

Legal Prediction Markets

March 16th, 2006 by Chris Hibbert

Tom Bell’s paper on how to interpret, skirt or redefine the laws to ensure that real money prediction markets are clearly legal to operate covers a lot of ground, and is a substantial addition to his previous paper on the subject. This paper, though I can’t comment on whether the legal arguments will hold up, makes a clearer and more explicit case that prediction markets fall outside the jurisdiction of most US law. The paper covers

  • What a prediction market could do,
  • how prediction markets compare to other markets,
  • what the legal obstacles are,
  • why legality in the US matters,
  • arguments that prediction markets aren’t covered by gambling law, the CFTC, or the SEC, and
  • an explanation of his draft of an act to explicitly make Prediction Exchanges legal.

In order to draw a clearer line around the kinds of markets he’s interested in, Tom presents his proposal in the context of a critique of the effectiveness of patents and copyrights in promoting Science and the Useful Arts. This gives him a platform from which to argue in favor of claims on open questions in science, technology and public policy, and he focuses on markets that deal exclusively in those subjects as worthy of extra attention and especially deserving of protection from onerous regulations. (Those are the Prediction Exchanges the draft act would legalize.) In choosing this narrow focus, he omits one of the goals originally identified for prediction markets: PMs can also enable hedging exposure to risk in areas covered by relevant claims. But that requires substantial liquidity, which may be forever out of reach on these kinds of claims, so perhaps it’s better to try to take advantage of the kind of legality he promotes than to look for a more encompassing definition that might be harder to defend.

Markets v. Benefits
 Purpose:
Type: 
Express
Prices
Promote
Discovery
EntertainHedge
Risks
Raise
Capital
Prediction Marketprimarysecondarytertiarytertiary?N.A.
Futures MarketsecondarytertiaryN.A.primaryN.A.
Securities Marketsecondarytertiary?N.A.tertiaryprimary
Gambling MarketN.A.N.A.primaryN.A.N.A.
In order to clarify how prediction markets differ from other organized markets, Tom presents the table on the right. He points out that the most important goals and achievements of prediction markets are at best secondary goals for the others, and their primary goals are relatively unimportant for prediction markets. A second table shows that prediction markets work differently, but doesn’t have as strong a conclusion. Each of the features of PMs is either present in some of the other kinds of markets, or at least is already a visible variation
Market Type v. Market Feature
 Feature:
  
Type: 
Skill-based
Trading
Spot
Trading
Zero-Sum
Trading
Underlying
Assets
Risk of Loss
Greater Than
Investment
Prediction Marketyesyesusuallynono
Futures Marketyesnoyesusuallyyes
Securities Marketyesusuallynousuallysometimes
Gambling Marketnoyesyesnosometimes
among them.

As Bell says, The gambling and financial laws that menace prediction exchanges do so almost accidentally. They serve several different purposes, and each is written fairly narrowly, as the various authors weren’t thinking beyond prohibiting or regulating particular activities that they thought they could clearly distinguish. That’s as it should be: laws should be tailored to the circumstances, and should leave non-infringing behavior to proceed in peace. Unfortunately, innovations sometime tread near old paths, and the old laws don’t clearly say whether they cover ideas which hadn’t been conceived when they were written. As Bell continues, The policies behind those restriction do not fit prediction markets at all. This leaves a gap which entrepreneurs (or more specifically, their backers) are wary of entering, for fear that all their work will go for nothing. Underwriters prefer the uncertainties of their ventures to be in areas they have more chance of affecting.

The heart of the paper is the argument that existing laws and oversight agencies don’t apply to Prediction Markets. IANAL, so I can’t comment on whether the arguments would hold up in court, but they are clearly a good start on a brief that should at least give a D.A. reason to pause before attacking a (narrowly science-based) prediction markets as gambling. There aren’t as many restraints on the CFTC or the SEC, so it’s more plausible that they would search for alternative interpretations that would allow them to regulate. But the plain law says that the CFTC is limited to regulating contracts for future delivery of commodities. The only future consideration traded in prediction claims is the underlying currency, and the asset itself (which will pay out depending on some future conditions) is transferred at the time of the transaction.

There’s also an explicit exception for instruments which are “predominantly a security”. This seems to fit prediction markets very closely. I would add a single caveat: one of the requirements of the definition of “predominantly a security”, is that the instrument not be subject to “mark-to-market” margining requirements. As I understand that term, it’s not much of a stretch to apply it to the way that TradeSports handles short sales. As I explained in my introduction to Prediction Markets, TradeSports reserves a varying amount of your short holdings against the possibility of losing the bet. They have rules about frozen funds, margin requirements, and explicitly says they may make Margin Calls. I said before that the short selling model doesn’t have any different effect on trading than the other ways of betting against a particular claim. This seems to be a difference; if there are regulations that cover trading in which there might be margin calls, then the short selling model is affected and the others are not.

Escaping the jurisdiction of the SEC seems to come down to a point highlighted in the first table: After all the technicalities are covered, the SEC regulates instruments that are designed to allow people to raise capital in order to form an enterprise. There are steps you can take to make it less likely that prediction market activities will seep over the line and appear too similar to securities. They need not be onerous: a prominent disclaimer about SEC oversight ought to suffice.

In case all the legal analysis isn’t enough to get business started, Tom proposes legislation that could be passed either by the federal government or (to lesser effect) by individual states in order to create a protected status for somewhat limited prediction markets. The limitations would be enough to keep the more lucrative markets from opening up shop within the US, but could be sufficiently broad to allow a variety of markets in science, technology and social policy. Given the number of new markets opening up recently, that may be enough to encourage some experimentation in real money claims. Given those same new startups, we may not have to wait long to find out whether the exemptions Professor Bell has identified are sufficient on their own.

Microsearch debuted at ETech today

March 7th, 2006 by Rohit Khare

We showed off a re-skinned version of our Ångströ project at in San Diego that I hope makes a bit more sense as microsearchyou know, for . :)

We pointed at a live instance at http://tpd.angstro.net:19988/ — go search, grab the miffy bookmarkley, and start adding microformats to our big shared pile of bits!

Congratulations for an applause-winning demo to Ben Sittler, as the mad Javascript genius behind the whole system, and Elias Sinderson, who added semi-structured XQuery to the system!

Herewith, some notes from our slides…


What is “Atomic-Scale”?

Web pages contain chunks of information
A natural consequence of growing adoption of template languages & content management tools
Feeds create the illusion of immediacy
As chunks of information change, we can expect notification (in the form of updated feed files)
Microformats create the illusion of structure
Even if it’s HTML all the way down, we can read it
… so maybe REST will make more sense for atoms than for pages


How miffy works

walks through the document looking for the ‘root classes’ of the µfs it knows about
places green anchor boxes in front of them
using css — no graphics, since we want it to work offline
‘capturing’ clones those DOM nodes, then walks the tree to “reformulate” it
the only data structure that can represent all future µfs is the DOM itself


For More Information

Is Open Source – but not yet an open-repository
grab snapshots of the code and our Subversion archive from our wiki: http://www.commerce.net/wiki/tpd
Uses Open Source
  • Depends on some other OS projects you’ll need
  • DBXml from Sleepycat Software
  • BeautifulSoup by Leonard Richardson
  • Feedparser by Mark Pilgrim
  • … and (not least!) Twisted by TwistedMatrix
Test Service
Running at http://tpd.angstro.net:19988

New market: Inkling

March 7th, 2006 by Chris Hibbert

Google Alerted me to a press release from new startup Inkling, which aims to start up another marketplace for predictions. They are just getting started, but intend to offer a variety of claims, and allow the users to suggest new questions. So far, they have sports, entertainment, and technology (Apple rumors and web traffic comparisons).

They have a couple of different approaches to generating predictions:

  • the market closes on a preannounced judging date (usually the day before an expected event.) The correct outcome pays out at $100.
  • Rolling close: In their Apple Rumors and Big 10 Basketball coach exit markets, they list a number of choices, and whenever one comes true, they cash it out at $100.

In the first case, the bid prices shouldn’t exceed $100, and you should sell the basket whenever they do. If the offered prices are below $100, you can safely buy a basket. (Since the markets are separate, the price swing needs to be significant so you aren’t caught by price movements due to others trading while you make multiple transactions. Even though the site seems slow (due to heavy interest, presumably), I didn’t have trouble selling baskets at advantageous prices.

They are using an automated market maker. In order to simplify the user experience, the interface asks whether you think the current probability (and price) for an issue is too high or too low, then picking a number of shares to trade from a menu showing what price you’ll pay.

The bid prices for the markets I looked at were significantly above $100 bid in exclusive markets. When you sell, the interface implies that you are selling short (and talks about how much you will get frominkling account value the sale), but after the transaction, your balance is lower. I assume they’re reserving the value of the negative coupons. The software doesn’t seem to notice that I bought a basket, and so have an assured payout.

I can’t figure out their accounting. The starting account is 5000 inkles. As you see in the image, I’ve earned almost 4500 inkles selling assets short (having started from 5000), and they seem to be holding 4500 against that value, so I still have almost 5000 inkles to spend.

I couldn’t login with Firefox. I had to fall back on Safari. Their FAQ says firefox is supported.

Prediction Market Year in Review

March 6th, 2006 by Chris Hibbert

Chris Masse posted another thorough review of the state of the Prediction Markets field in the guise of an annual awards list. Zocalo and my name came up a few times, sometimes positively, sometimes not.

His summary from his rss feed gives the highlights. There are plenty of pointers to interesting reports, articles, blogs, etc. I won’t repeat all the links here. That’s what Chris (doesn’t) get paid for.

  1. Blog Of The Year 2005: Jason Ruspini
  2. Book Of The Year 2005: James Surowiecki, The Wisdom of Crowds - Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations
  3. Consultant Of The Year 2005: NewsFutures
  4. Exchange Of The Year 2005: BetFair
  5. Market Of The Year 2005: The Harriet Miers confirmation prediction market @ InTrade/TradeSports
  6. Media Of The Year 2005: Fortune magazine, with this story, Making a Market in (Almost) Anything.
  7. News Of The Year 2005: The CFTC spanked TEN (TradeSports / InTrade), hard.
  8. Opinion Of The Year 2005: Good News: CFTC Busts Intrade. - by Tom Bell - 2005-10-10
  9. Paper Of The Year 2005: Justin Wolfers and Eric Zitzewitz’s 2005 Interpreting Prediction Market Prices as Probabilities
  10. Presentation Of The Year 2005: John Ledyard Information Markets
  11. Resource Of The Year 2005: del.icio.us / tag / predictionmarkets
  12. Scholar Of The Year 2005: David Pennock
  13. Software Of The Year 2005: Consensus Point’s Idea Futures

I’m looking forward to more growth of the field, and lots of interesting work this year.