Recession Contract Proposal

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A few days ago, I came across Chris&#8217-s question concerning recession prediction:

My Question: How would you structure a US recession prediction market? (…without splitting liquidity, I mean.)

My initial response to this was:

A recession is defined as two consecutive declines in real GDP. Why not create a series of contracts, as follows:

US.RECESSION.4Q06.1Q07
US.RECESSION.1Q07.2Q07
US.RECESSION.2Q07.3Q07

Here are some more of the contract details:

The Expiry Price will be 100 if Real GDP declines for two consecutive quarters, and 0 if Real GDP does not decline for two consecutive quarters. Final Real GDP figures (3 months after quarter end) will be used, not the advance (one month after) or preliminary (two months after) Real GDP numbers.
The Result used to determine the expiry prices will be the official figures released by Bureau of Economic Analysis, an agency of the US Dept of Commerce.

Comments welcome and appreciated!

The HRC attack, part 2

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Rationalization of the HRC attack

Since it seems that I won&#8217-t secure any more capital on which to exploit this within the relevant timeframe, I thought I&#8217-d complete the circle regarding the HRC attack of several days ago. (For the first half of the analysis, please read this post.)

The attack was clearly &#8220-irrational&#8221- and not related to release of any public information&#8211-if not directly contrary to that day&#8217-s information. A buyer with the sophistication of knowing the publicity power of Tradesports stats, who had learned a key piece of inside information, would have bought Hillarys much more gradually, saving himself significant dollars. However, we already established that no piece of private information could realistically justify the movement from 54.5% to 68.5%. It seems clear that the attack was &#8220-irrational.&#8221- But if every event is caused by something, what would cause this attack?

My answer: someone internal to the &#8220-Run, HRC, run&#8221- decision process wants Hillary to run, and is searching for other factors with which to convince her that she will run. So that someone, my guess is a senior staffer with some money lying around, did this so that s/he could go to Hillary and, having gone over the latest poll numbers, say, &#8220-Oh, by the way, the market numbers [which are so impartial, of course] on your likelihood of getting the nomination are&#8230-&#8221- And 68.5% sounds a lot better than 54.5%. The staffer probably knew it would go down pretty quickly, but it did happen, so it&#8217-s not a lie, even though the meaning was totally deceptive. And as the attack occurred at about 6 AM Eastern, it would be just in time for the morning briefing! (Yeah, that might be trying to tease too much out of the inference. Who knows. Right?)

Hillary is reading the tea leaves, sees her high negatives, sees her perceived and actual huge baggage, and is feeling hesitant about the whole idea. The final go-ahead to her big donors will happen sometime in December. I am sure that someone is staking big bucks trying to convince her to run. Probably a senior staffer who has a ton to gain personally and career-wise, if Hillary goes all-out. And Hillary is a lot more skittish than 55% skittish.

Addendum, again from Hotline: FNC&#8217-s Cameron: &#8220-The chairman of Iowa&#8217-s Democratic party told Fox News that Mrs. Clinton has not been adequately laying the groundwork for her campaign and that first in the nation caucus goers are being told she may not run because of growing buzz over Illinois Freshman Senator Barack Obama&#8217-s expected candidacy.&#8221-

The plan was for Iowa Gov. Tom Vilsack to be the stalking-horse for the Iowa caucuses, and render it irrelevant. The Iowa primaries are about retail politicking, which Hillary hates. Unfortunately for Hillary, Vilsack&#8217-s polling has been dismal, even in his home state. Which renders his run all the more irrelevant, and irrational, without ulterior motives.

How to Define EU Failure for Betting Purposes?

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Scenarios for possible breakup of the European Union have been a lively discussion topic for years. So far the EU is holding together but the possibility of some kind of radical restructuring is always in the background. With the help of a couple of people who may wish to join this conversation, I hope to create prediction markets that produce reasonable probability estimates for various EU events including complete breakdown. These will not be real-money markets but I think they will be useful nonetheless. The purpose of this blog post is to solicit suggestions on how to frame EU breakup (i.e., which tradable propositions or bundle of tradable propositions should we make available to traders) and on the specific contract specifications to use in such prediction markets.

There are at least two difficult issues: 1) defining the time horizon (expiration date) for each contract and 2) defining the criteria for EU failure. Time horizon is tricky from a liquidity perspective, because the plausible failure scenarios all occur at least a couple of years from now- traders usually prefer shorter-term contracts. WRT the other issue, failure criteria, how would we define EU failure? Would it be:

– Germany/France formally withdraws by date X?

– Germany/France resumes use of its own currency by date X?

– X nations formally withdraw?

– Value of the Euro declines below some fraction of the USD?

– UK/other country does not adopt Euro currency by date X?

– Euro currency removed from circulation?

– Repeal of acquis communautaire?

– Formal end of the EU?

– Something else?

So we might have a series of contracts along the lines of, &#8220-German govt formally withdraws from EU by 31 Dec. 2010 [2011, 2012, 2013, . . .]&#8221-

Or we might have a range of contracts (German formal withdrawal, French formal withdrawal, UK non-adoption, etc.). IOW, instead of defining EU failure as a discrete event, we provide contracts on multiple scenarios and traders bet on whichever basket of scenarios they prefer. This approach makes more sense to me than would an attempt to define &#8220-EU failure&#8221- as a single event.

Based on suggestions I&#8217-ve already received, I think the following contracts might make sense:

Next country to drop out. There would be one such contract, with no expiration date, for each country. All contracts expire when one country drops out (expiration value would be 100 for that country and 0 for the other countries), and would be automatically recreated for the remaining countries. There would have to be a contract provision to handle simultaneous withdrawal by multiple countries, but that shouldn&#8217-t be difficult. And of course withdrawal must be defined precisely.

Country X adopts/rejects single currency by 31 Dec. 20XX. (Again, &#8220-adopts&#8221- or &#8220-rejects&#8221- must be defined.)

Germany/France + one other country are last remaining EU members on 31 Dec. 20XX. (&#8221-EU member&#8221- must be defined.)

Euro currency removed from circulation by 31 Dec. 20XX.

But the above contract ideas are merely first efforts.

How would you define EU failure for contract purposes? What kinds of contracts would you like to see? How to make such long-term contracts appealing to traders?

I much appreciate any suggestions. Thanks.

Prof. Bainbridge on Burton Malkiel on the efficient capital markets theory (ECMH)

No GravatarProf. Bainbridge on Burton Malkiel on the efficient capital markets theory (ECMH):

The second pillar of Malkiel&#8217-s analysis is the efficient capital markets theory (ECMH). The fundamental thesis of the ECMH is that, in an efficient market, current prices always and fully reflect all relevant information about the commodities being traded. In other words, in an efficient market, commodities are never overpriced or underpriced: the current price will be an accurate reflection of the market&#8217-s consensus as to the commodity&#8217-s value. Of course, there is no real world condition like this, but the securities markets are widely believed to be close to this ideal. There are three forms of ECMH, each of which has relevance for investors:

Weak form: All information concerning historical prices is fully reflected in the current price. Price changes in securities are serially independent or random. What do I mean by &#8220-random&#8221-? Suppose the company makes a major oil find. Do I mean that we can&#8217-t predict whether the stock will go up or down? No: obviously stock prices generally go up on good news and down on bad news. What randomness means is that investors can not profit by using past prices to predict future prices. If the Weak Form of the hypothesis is true, technical analysis (a/k/a charting)-the attempt to predict future prices by looking at the past history of stock prices-can not be a profitable trading strategy over time. And, indeed, empirical studies have demonstrated that securities prices do move randomly and, moreover, have shown that charting is not a long-term profitable trading strategy.

Semi-Strong Form: Current prices incorporate not only all historical information but also all current public information. As such, investors can not expect to profit from studying available information because the market will have already incorporated the information accurately into the price. As Malkiel demonstrates, this version of the ECMH also has been well established by empirical studies. Implication: if you spend time and effort studying stocks and companies, you are wasting your time. If you pay somebody to do it for you, you are wasting your money.

Strong Form
holds that prices incorporate all information, publicly available or not. This version must be (and is) false, or insider trading would not be profitable.

Previous blog posts by Chris F. Masse:

  • Is that HubDub’s Nigel Eccles on the bottom left of that UK WebMission pic?
  • Collective Error = Average Individual Error – Prediction Diversity
  • When gambling meets Wall Street — Proposal for a brand-new kind of finance-based lottery
  • The definitive proof that it’s presently impossible to practice prediction market journalism with BetFair.
  • The Absence of Teams In Production of Blog Journalism
  • Publish a comment on the BetFair forum, get arrested.
  • If I had to guess, I would say about 50 percent of the “name pros” you see on television on a regular basis have a negative net worth. Frightening, I know.

HUMAN market makers = LEAD market makers

No Gravatar&#8230- in the One Chicago&#8217-s lingo.

As opposed to &#8220-automated market markers&#8221-.

My Question: Does anybody know what is the correct / most popular terminology, here?

Addendum: JC Kommer has posted a comment&#8230-

Anybody can trade via “automated market marking”.

With its &#8220-Lead Market Maker&#8221- program, OneChicago sends a clear signal: there is nobody here and if you come you will get screwed because the &#8220-Lead Market Maker&#8221- has certain privileges such as priority in the order queue and lower fees.

Previous blog posts by Chris F. Masse:

  • Collective Error = Average Individual Error – Prediction Diversity
  • When gambling meets Wall Street — Proposal for a brand-new kind of finance-based lottery
  • The definitive proof that it’s presently impossible to practice prediction market journalism with BetFair.
  • The Absence of Teams In Production of Blog Journalism
  • Publish a comment on the BetFair forum, get arrested.
  • If I had to guess, I would say about 50 percent of the “name pros” you see on television on a regular basis have a negative net worth. Frightening, I know.
  • You can’t measure the usefulness of a system by how many resources it consumes.

Prediction Markets Definitions – REDUX REDUX

No GravatarI would like to comment on the post from the Hatena Diary blog. (By the way, please note that my URL has changed, because I corrected one word in the post title. Sorry for the inconvenience.)

#1. Speculation-oriented prediction markets/exchanges: TradeSports, BetFair.

#2. Hedging-oriented prediction markets/exchanges: HedgeStreet and all the Chicago exchanges that will do binary, European call options.

#3. Forecast-oriented prediction markets/exchanges: Iowa Electronic Markets, AS CLAIMED BY THESE SCHOLARS WHOSE TASK WAS TO CONVINCE THE CFTC TO GRANT THEM A NO-ACTION LETTER. (They would have not gotten it, had they emphasized &#8220-speculation&#8221-. And, of course, &#8220-hedging&#8221- was out of question.) It&#8217-s a &#8220-claim&#8221- that might be discussed, since we&#8217-ve seen that TradeSports-InTrade is a much more powerful predictive tool for the US elections. Ditto for BetFair for U.K. elections.

#4. Decision-oriented prediction markets/exchanges: I would put here the kind of stuff that Robin Hanson is so excited about.

#5. Entertainment-oriented prediction markets/exchanges: Hollywood Stock Exchange, Washington Stock Exchange, Inkling, NewsFutures.

#6. Education-oriented prediction markets/exchanges: The Iowa Electronic Markets fits here, partially, regarding the use that professors around the country make of their markets in classrooms.

&#8212-

– I disagree with Google in #4. Maybe the Google internal prediction markets would fit in #3.

– I disagree with NewsFutures in #3 &#8212-I acknowledge (at least partially) the predictive power of play-money prediction exchanges, of course.

&#8212-

Should we judge markets/exchanges on INTENTIONS or on RESULTS? I don&#8217-t give a damn that TradeSports-InTrade and BetFair were created for speculation– if they have better predictive power than IEM, I&#8217-m fine with them. Ditto for the HSX. I don&#8217-t give the first fig that it was created as an entertainment tool. It&#8217-s the best forecasting tool for the movie business, period.

&#8212-

For the links to the prediction exchanges, see CFM.

&#8212-

Previous Blog Posts:

Prediction Markets DEFINITIONS – not a “taxonomy”

Professor Robin Hanson’s draft definitions is validated by professor Eric Zitzewitz.

Prediction Markets Definitions – REDUX

Prediction Markets Definitions – by Robin Hanson – 2006-11-21

&#8212-

Addendum: Robin Hanson has posted a comment&#8230-

“Oriented” is not clear enough for my tastes. Is this about trader motives? Trader results? Price results? Exchange motives?

&#8212-

My Answer: I meant &#8220-exchange motives&#8221-. [&#8230- See my comments. &#8230-] But now that I think of it, another classification taking account of the &#8220-price results&#8221- makes more sense.

Previous blog posts by Chris F. Masse:

Gartmans Rules of Trading

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My favourite Thanksgiving tradition, from trading God Dennis Gartman

1. Never, Ever, Ever, Under Any Circumstance, Add To A Losing Position&#8230- not ever, not never! Adding to losing positions is trading&#8217-s carginogen- It is trading&#8217-s driving-while intoxicated. It will lead to ruin. Count on it!

2. Trade Like A Wizened Mercenary Soldier: We must fight on the winning side, not on the side we may believe to be correct economically.

3. Mental Capital Trumps Real Capital: Capital comes in two types-mental and real, and the former is far more valuable than the latter. Holding losing positions costs measurable real capital, but it costs immeasurable mental capital.

4. This Is Not A Business Of Buying Low And Selling High- It is, however, a business of buying high and selling higher. Strength tends to beget strength, and weakness, weakness.

5. In Bull Markets One Can Only Be Long or Neutral , and in bear markets, one can only be short or neutral. This may seem self-evident- few understand it however, and fewer still embrace it.

6. &#8220-Markets Can Remain Illogical Far Longer Than You Or I Can Remain Solvent.&#8221- These are Keynes&#8217- words and illogic does often reign, despite what the academics would have us believe.

7. Buy Markets That Show The Greatest Strength- Sell Markets That Show The Greatest Weakness: Metaphorically, when bearish we need to throw rocks into the wettest paper sacks, for they break most easily. When bullish we need to sail the strongest winds, for they carry the farthest.

8. Think Like A Fundamentalist- Trade Like A Simple Technician: The fundamentals may drive a market and we need to understand them, but if the chart is not bullish, why be bullish? Be bullish when the technicals and fundamentals, as you understand, them run in tandem.

9. Trading Runs in Cycles- Some Good- Most Bad: Trade large and aggressively when trading well- trade small and ever smaller when trading poorly. In &#8220-good times,&#8221- even errors turn to profits- in &#8220-bad times,&#8221- the most well researched trade will go awry. This is the nature of trading- accept it and move on.

10. Keep Your Technical Systems Simple: Complicated systems breed confusion- simplicity breeds elegance. The great traders we&#8217-ve known have the simplest methods of trading. There is a correlation here!

11: In Trading/Investing, An Understanding Of Mass Psychology is Often More Important Than An Understanding of Economics: Simply put, &#8220-When they are cryin&#8217-, you should be buyin&#8217-! and when they are yellin&#8217-, you should be sellin&#8217-!&#8221-

12. Bear Market Corrections Are More Violent And Far Swifter Than Bull Market Corrections: Why they are is still a mystery to us, but they are- we accept it as fact and we move on.

13. There Is Never Just One Cockroach: The lesson of bad news on most stocks is that more shall follow&#8230- usually hard upon and always with detrimental effect upon price, until such time as panic prevails and the weakest hands finally exit their positions.

14. Be Patient With Winning Trades- Be Enormously Impatient with Losing Trades: The older we get, the more small losses we take each year&#8230-and our profits grow accordingly.

15. Do More Of That Which Is Working and Less Of That Which Is Not: This works in life as well as trading. Do the things that have been proven of merit. Add to winning trades- Cut back, or eliminate losing ones. If there is a &#8220-secret&#8221- to trading (and of life), this is it.

16. All Rules Are Meant To Be Broken.&#8230- but only very, very infrequently. Genius comes in knowing how truly infrequently one can do so and still prosper.

Prediction Markets Definitions

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We should try to be more careful about our distinctions and definitions. I&#8217-m less concerned about whether we use the phrase &#8220-prediction market,&#8221- &#8220-information market,&#8221- &#8220-decision market,&#8221- or whatever- I&#8217-m more concerned about what exactly these phrases are intended to mean. Here are some possible concepts to distinguish (I&#8217-ll avoid naming them).

  1. Markets that make predictions – Pretty much every speculative market ever created does this.
  2. Markets that make easily interpreted predictions – Most betting markets would be included here, while most financial markets would not. For financial markets one must understand and estimate risk premia, discount factors, and so on be able to say much what exactly the current price estimates.
  3. Markets whose prices embody information – Also pretty much every speculative market ever made.
  4. Markets whose price predictions are used as info by non-traders – Many financial markets meet this criteria.
  5. Markets whose interpretable predictions are used as info by non-traders – Many betting markets meet this criteria.
  6. Markets whose primary function is not hedging – A &#8220-primary&#8221- function would most explain the existence of the market and its volume of activity. Most financial markets might fit here, as most volume is from speculation.
  7. Markets where the main trader motivation is not material gain – Most play money markets would fit this criteria.
  8. Markets where the social value of allowing the market to exist outweighs the social cost – this would be the sort of market we want to legally allow to exist.
  9. Markets where the social value of the info gained by non-traders, but not the social value of its use for hedging, outweighs any other social costs of allowing the market to exist – These markets could justify a legal regime empowered to allow markets to exist for info reasons, not just hedging reasons.
  10. Markets whose primary function is to inform non-traders – Non-trader interest in the info would be the main explanation for the existence of the market and the volume of trade- such non-traders would somehow subsidize the existence of the market and trading activity in order to gain the info they desire.

These last two concepts are of the most interest to me – I would like to have names that clearly identify them and distinguish them from the other concepts.

Overcoming Bias dot com = Robin Hanson’s group blog on truth discovery and decision rationality

A Web-based “forum”, rather, he says:

To me “forum” connotes that we [CFM: the blogging scholars] are primarily talking to each other, though we don’t mind if others join in to comment or listen.

Blog” to me connotes that we are primarily writing for other people, and we are just sharing the load of putting together something for those readers.

URL: Overcoming Bias dot com

Overcoming Bias

Addendum: Robin Hanson has just posted a comment…

Chris, the picture is a famous painting of Ulysses bound to the mast listening to the Sirens; the rest of the crew has their ears plugged to avoid the severely biased Siren Song. 

What Is The Meaning Of His Blog Header? No idea. I wonder whether his 2005 Marginal Revolution post (”Hanged For Accuracy”) gives us a clue:

I came across an even more dramatic example of such thinking in Dava Sobel’s Longitude (1995:11-12):

Returning home victorious from Gibraltar after skirmishes with the French … the English fleet … discovered to their horror that they had misgauged their longitude … the Scillies became the unmarked tombstones for two thousand of Sir Clowdisley’s troops. [Admiral Sir Clowdisley] had been approached by a sailor, … who claimed to have kept his own reckoning of the fleet’s location during the whole cloudy passage. Such subversive navigation by an inferior was forbidden in the Royal Navy, as the unnamed seaman well knew. However, the danger appeared so enormous, by his calculations, that he risked his neck to make his concerns known to the officers. Admiral Shovell had the man hanged for mutiny on the spot. … In literally hundreds of instances, a vessel’s ignorance of her longitude led swiftly to her destruction.

Even though shipmates had a strong common interest in knowing their longitude, other social incentives apparently prevented them from sharing their information. As a consultant on the use of prediction markets within organizations, I’ve also noticed that managers are often surprisingly uninterested in the prospect of more accurate forecasts and more informed decisions. Could these phenomena have similar explanations?

About Overcoming Bias:

How can we better believe what is true? While it is of course useful to seek and study relevant information, our minds are full of natural tendencies to bias our beliefs via overconfidence, wishful thinking, and so on. Worse, our minds seem to have a natural tendency to convince us we that are aware of and have adequately corrected for such biases, when we have done no such thing.

Overcoming Bias dot com will be authored by 14 (academic or not) scholars. Among them, 5 usual suspects from the field of prediction markets, including the owner of this microscopic little blog (who would do just anything to get linked to by Midas Oracle).

Speaking of bias, is our good doctor Robin Hanson as innocent as Snow White? Let’s take a look at “The Wisdom Of His Crowd“. Here’s an excerpt of the 2005 poll he asked his acquaintances (the author of these lines being one among many) to fill in, so as to discover what could be his next academic project.

Here are the ten main choices as I see them now:

1. Disagreement Book – Expand “Are Disagreements Honest” and related papers into a book, adding new material on data about who is right in real disagreements. I’ve been telling people this is my plan. This could establish my reputation as a deep thinker on a big issue. Fun, as there are still things for me to learn on this topic. No real competition on this topic (as least re the more technical angle), and it is nicely not aligned with an ideology. But not clear this will really change much in the world.

See the key sentence??? “I’VE BEEN TELLING PEOPLE THIS IS MY PLAN.” Ha. ha. ha. Totally biased poll. And, SURPRISE, SURPRISE, of course, that poll gave the option #1 (”the disagreement book”) as the most popular answer. NO WONDER. And so we are here, today, with our Robin Hanson opening a group blog on “overcoming bias”. (The “idea futures book” came as a close #2. Had he suppressed the bias in his poll, we would have had Robin Hanson opening a group blog on prediction markets, today, instead.)

Maybe the first topic of discussion among these 14 luminaries (or so they think they are) should be: How to overcome Robin Hanson’s biased polls?

How To Subscribe To Robin Hanson’s Group Blog:

His Royal Highness publicizes the “RSS 1.0″ site feed, on his right sidebar. It’s an old format; complete crap.

Summary of the Tradesports DEMS.HOUSE.OVER29.5 issue, and the TS credibility gap

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In the past weeks, there was something of a dust-up over TS&#8217- handling of the DEMS.HOUSE.OVER29.5 contract. According to all American media, the Democrats needed 15 new House seats to gain control of the House of Representatives. And, indeed, in the final days leading up to the election, there an excellent synchronization between the DEMS.HOUSE.OVER14.5 contract and the inverse of HOUSE.GOP.2006, indicating a perceived equivalence between 100 – p(HOUSE.GOP.2006) and DEMS.HOUSE.OVER14.5. Thus, the (presumably overwhelmingly American) market inferred that TS would follow the same convention as all American media, mainstream and otherwise, did. And according to American media, a Democrat replacing independent Socialist Bernie Sanders didn&#8217-t count as a Democratic pickup, because he already caucused with the Democrats anyway. However, TS initially disagreed with that, and counted Sanders as a non-Democrat. (More on that soon.)

Speaking personally, TS reinforced this perception&#8211-that independents who caucused with the Democrats counted as Democratic seats, and if they were replaced by an official Democrat, that wouldn&#8217-t increase the Democrats&#8217- vote total&#8211-by specifically stating, in regards to SENATE.GOP.2006, that a &#8220-loss&#8221- of the Connecticut seat to Joe Lieberman (who had switched from Democrat to Independent) would still be counted as a Democratic seat, because Lieberman already caucused with the Democrats anyway.

The fine print of the Tradesports DEMS.HOUSE.OVERXX contracts was, for most of the time, fairly clear in stating that the Democrats started from 201 seats, and anything over that number would constitute a gain. Judging from the activity of DEMS.HOUSE.OVER14.5, however, I believe that most of the market inferred (as did I) that 201 was the initial starting number of of Democrat seats according to American convention as well as TS, and didn&#8217-t realize the difference between the two systems. A very technical mistake, but not one for which TS deserved blame.

However, TS threw a monkey wrench in the system by telling forummer &#8220-gekko6&#8243- that Bernie Sanders&#8217- Independent seat going Democratic would not count as a Democratic pickup, because Sanders had already caucused with the Democrats in the first place. In this decision, as in its Connecticut Senate decision, TS showed an impressive grasp of the vagaries of the American political system&#8211-namely, that the size of each caucus was the real issue- and Congressional majorities being determined on the basis of caucus, not party affiliation, it only made sense to calculate the shift in power in the House on the same basis.

Unfortunately, that also meant that TS had, at the same time, repudiated its own convention for what constituted a &#8220-gain.&#8221- &#8220-gekko6&#8243- had already been very aware of this issue, because he had pointed out that the actual starting count according to the American system was 203, not 201&#8211-due to Sanders&#8217- being an independent endorsed and unopposed by the Democrats, and the vacancy of Bob Menendez&#8217-s seat after Menendez was appointed to the Senate by NJ Gov. Corzine. (From a foreign, technical perspective, this was defensible&#8211-Menendez&#8217-s seat was vacant, so the winner on Nov. 7 would count it as a &#8220-gain.&#8221- However, the Republicans did not contest Menendez&#8217-s very Democratic seat, so in the American convention, it was never counted as a Democratic pickup.) Tradesports&#8217- convention effectively said that the Democrats gained two more seats than the American convention did, and several days after the November elections, the American convention said that the Democrats had gained 28 House seats with 1 certain to go Democratic in a runoff (in Louisiana), so 29 seats total, while the Democrats had effectively gained 31 seats according to TS. Hence the problem with DEMS.HOUSE.OVER29.5. And while a legalistic interpretation would favor TS, I believe that the synchronization of DEMS.HOUSE.OVER14.5 and 100 – p(HOUSE.GOP.2006) indicated that most trading during the final few days showed that the market was unaware of TS&#8217- own convention for the election outcome.

I sent Tradesports an e-mail about it (apparently they don&#8217-t accept new entrants to their forum anymore, because my application has been pending for about a month), and they replied that the new number of Democrats minus 201 would constitute the number of Democrat gains, thus contradicting what they had told &#8220-gekko6.&#8221- I then publicly denounced TS for waffling the issue. TS did nothing, and apparently hoped the controversy would blow over. A bunch of recounts in close races later, TS appears to have lucked out, because according to the American convention, the Democrats now have at least 233 House members, up from 202-plus-one-Socialist, so the American system now says the Democrats have gained 30 seats and DEMS.HOUSE.OVER29.5 has been fulfilled either way.

Honestly, I was impressed that TS understood the American system as well as they did. Unfortunately, TS&#8217- subsequent &#8220-flip-flopping&#8221- showed that it did not, in fact, understand its own contract specifics. It also fit a larger pattern of cavalier disdain for its clients, often interpreting an ambiguous outcome significantly contrary to that of the market-majority (Harriet Miers confirmation, NK missile test contract) without appropriate compensation, setting up a joke &#8220-Arbitration Committee&#8221- that, if it even exists, has done nothing except infuriate customers, and most recently expiring sports contracts before the games were even concluded &#8211-and coincidentally raking in tons of expiry fees from people who weren&#8217-t given a chance to liquidate.

The latter, in fact, has happened with enough cavalier consistency that one can only wonder whether TS simply plans on milking its American consumers for as much as possible before closing the site to new American participants as a result of the recent US legislation. SportsBook has downgraded Tradesports to a C+ rating, which is at the very low end of what SportsBook can vouch for.

If TS plans on more effectively structuring its futures contracts, it should structure them along the lines of, &#8220-At 11:59:59 PM GMT on dd/mm/yyyy, Democrats will control ON or OVER XXX seats in the US House of Representatives.&#8221- If it wants to undertake a broader effort to restore its own credibility, it needs to stop the caprice that is fast becoming the norm for how it adjudicates contract outcomes&#8211-whether that adjudication occurs before or after the outcome has actually occurred. [added:] TS&#8217- infrastructure and trader base are both excellent, and there&#8217-s no point in wasting those assets on sloppy legalese and interpretation.

&#8211-Alex Forshaw

http://the-ts-maven.blogspot.com

Tradesports forum homepage: http://forum.tradesports.com/

Addendum: As for 100 – p (HOUSE.GOP.2006) vs DEMS.HOUSE.OVER14.5, I remember them consistently mirroring one another, and thinking to myself, &#8220-Aha! Efficient markets at work.&#8221- However, what little historical data TS makes publicly available makes it hard to judge that, and there were snapshots when the two were de-coupled, so perhaps a minority of perceptive traders _did_ trade on the differences in the rules. But in the sample of snapshots that I looked at, the two were coupled (within 2 points) much more often than not during the final days, when liquidity was high enough to make arbitraging the two contracts a worthwhile use of capital.