Prediction Markets Output Event Outcome Probabilities.

Prediction Markets

Prediction markets produce dynamic, objective probabilistic predictions on the outcomes of future events by aggregating disparate pieces of information that traders bring when they agree on prices. Prediction markets are meta forecasting tools that feed on the advanced indicators (i.e., the primary sources of information). Garbage in, garbage out... Intelligence in, intelligence out...

A prediction market is a market for a contract that yields payments based on the outcome of a partially uncertain future event, such as an election. A contract pays $100 only if candidate X wins the election, and $0 otherwise. When the market price of an X contract is $60, the prediction market believes that candidate X has a 60% chance of winning the election. The price of this event derivative can be interpreted as the objective probability of the future outcome (i.e., its most statistically accurate forecast). A 60% probability means that, in a series of events each with a 60% probability, then 60 times out of 100, the favored outcome will occur; and 40 time out of 100, the unfavored outcome will occur.

Each prediction exchange organizes its own set of real-money and/or play-money markets, using either a CDA or a MSR mechanism.

Become “friend” with me on Google E-Mail so as to share feed items with me within Google Reader.

Chris F. Masse July 24th, 2008

No Gravatar

Connect with me on GMAIL:

chrisfmasse |-at-| gmail |.|-com-|

-

I have just done something really stupid. I accidentally deleted almost all my friends at GMAIL (except the prediction market people). I want to slap my face. If you don’t see me anymore within Google Reader, please re-connect with me. (By defintion, I lost your e-mail address, so I cannot reconnect with you on my own.) I’m an idiot, I know.

-

Sphere: Related Content

Nigel Eccles’ flawed “vision” about HubDub shows that he hasn’t any.

Chris F. Masse July 24th, 2008

No Gravatar

[IMPORTANT NOTE: This present post is critical of one point expressed by Nigel Eccles, but, overall, I like this Scottish guy, and I enjoy HubDub's prediction markets a lot.]

-

Nigel Eccles:

Quoting HubDub forecasts in news stories about future events will be as common as quoting stock prices in financial stories is today or (in the UK) quoting betting odds for political elections.

-

Nigel,

my good friend,

Quit drinking the cranky juice and listen up 2 minutes.

I appreciate the formidable effort you made to start up HubDub and I am delightful its prediction markets are now well traded. In that perspective, HubDub is already a success. And I agree that many HubDub prediction market prices are meaningful.

However, I strongly disagree with the idea that, at one point in the future, the free world’s journalists and bloggers will rush to quote HubDub’s market-generated probabilities. Here’s why.

See, my good Scottish friend, you’re not the first fellow to tackle this problem. A guy named Emile Servan-Schreiber, with another fellow named Maurice Balick, created NewsFutures (a play-money prediction exchange quite similar to HubDub, except that HubDub uses MSR whereas NewsFutures uses CDA) in the year 2000 —at the time most contemporary prediction market people were still drinking their mother’s milk.

For the Midas Oracle readers who are just surfacing from an Afghan cave, Emile Servan-Schreiber is:

a veteran of the prediction market industry; a well educated (PhD) and smart man; a gifted exchange executive, with a very good understanding of Internet usability; a successful entrepreneur (NewsFutures has been profitable for years); the only international prediction market expert (NewsFutures is present in North-America, Europe, and Asia); the author of 2 academic papers on prediction markets (one of them established the predictive power of the play-money prediction markets); one of the most often interviewed prediction market people; well connected in the Academia (2 prediction market luminaries are on the NewsFutures scientific advisory board); the winner of a bet he made against Justin Wolfers; etc.

In other words, Emile Servan-Schreiber is far from being a moron.

Still, in 8 years of existence, NewsFutures’s prediction market prices have NEVER been quoted (over than occasionally) in the Mediasphere or the Blogosphere.

What makes you think that a cocky Scottish guy will be able to achieve what a smart Frenchman has miserably failed to achieve?

-

The answer to Nigel Eccles’ mission statement resides in a collective effort from all prediction market people and organizations to favor the development of prediction market journalism.

-

Sphere: Related Content

How does InTrade deal with insider trading?

Chris F. Masse July 24th, 2008

No Gravatar

InTrade CEO John Delaney (in 2007):

Insider trading is one of the wicked problems, perhaps. Intrade is about providing the best predictive information. If insiders have information, then getting that information reflected in the market increases the quality of the information. I know this is not the conventional view concerning insider trading, and I am not arguing wholesale adoption or acceptance of insider trading. But we all know that, in the real world, insiders trade on inside information. We have even had markets on insider trading. Our view is to get the best information available into the market while we make sure there is some fair protection for outsiders.

-

As I said, the problem is that this view is very unpopular among event derivative traders.

-

APPENDIX: Economic arguments in favor of insider trading.

Thanks to Ms. Stacy fo the link.

-

Sphere: Related Content

Modern Life

“The Beacon” is an excellent blog published by The Independent Institute.

The John Edwards Non-Affair… is making Memeorandum (twice), again.

Chris F. Masse July 24th, 2008

No Gravatar

Slate’s Jack Shafer (my favorite libertarian journalist –both small “L” and capitalized “L”):

[...] visiting the woman who recently gave birth to the out-of-wedlock child of a married campaign aide is completely OK. But meeting her at a Beverly Hills hotel in the early hours of the morning and running from tabloid reporters when approached and hiding in a hotel bathroom for 15 minutes, as the Enquirer reports Edwards did, is not completely OK. Not if he wants to avoid the hypocrite label.

-

See also Slate’s Mickey Klaus.

-

UPDATE: BusinessWeek

-

Sphere: Related Content

Arbitrage between play-money and real-money markets

Jed Christiansen July 23rd, 2008

No Gravatar

I’ve been running a niche prediction market site for research over the last three summers. Recently, some of these play-money markets overlapped with real-money markets currently on-going on Betfair.

In my post over at Mercury’s Blog, I discuss how I’ve used play-money market wisdom to take advantage of some poor market-makers on the real-money Betfair markets. Specifically, the favourite on one particular play-money market has a probability to win of ~80% (which I think is fairly accurate). I managed to buy that same contract on Betfair at the equivalent of a 40% probability. Similar examples still exist because of market makers that skewed initial odds towards long-shots (at least by play-money market standards).

Perhaps this will strike some conversation on potential arbitrage between play-money and real-money prediction markets.

Sphere: Related Content

Prediction Markets = marketplaces for information trading… and for separating the wheat from the chaff.

Chris F. Masse July 23rd, 2008

No Gravatar

Our good friend George Tziralis:

Markets bring people together, they sum up their information and transmit it through prices.

[A prediction market is] a tool which can aggregate the opinions and knowledge of the many and transform these into a meaningful result.

Markets arise as the ideal tool to crowdsource cognitive tasks and arrive at consensus results which are typically proven to be more accurate or correct than the opinions of the few experts, as suggested by both theory, experiments and practice.

-

Beautifully said.

AskMarkets

-

Sphere: Related Content

Google Knol is not bad, as a web publishing platform —but I still prefer WordPress and MediaWiki.

Each week, Predictify will ask a VIP to submit a question for the crowd to answer.

Next »


You are viewing a mobilized version of this site...
View original page here

Mobilized by Mowser Mowser