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 6 times out of 10, the favored outcome will occur- and 4 times out of 10, 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.
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More Info:
– The Best Resources On Prediction Markets = The Best External Web Links + The Best Midas Oracle Posts
– Prediction Market Science
– The Midas Oracle Explainers On Prediction Markets
– All The Midas Oracle Explainers On Prediction Markets
Don’-t you love the Web? Within 15 minutes after my posting my absolute and definitive refusal to publish any bits about the VP prediction markets, I received a long rebuttal by Google’-s Bo Cowgill —-whose great prediction market paper is still for you to download (PDF file), by the way.
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 6 times out of 10, the favored outcome will occur- and 4 times out of 10, 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.
Lawrence O’-Donnell (a leftist journalist –-but a good one, whom I appreciate):
A senior campaign official and Clinton confidante has told me that there will be a Democratic nominee by June 15. […] Yes, Clinton spokespersons publicly seem to be lost on gravity-free planet Clinton, but privately they know the end is near.
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There’-s a quasi consensus among the political pundits to say that Hillary Clinton will not be the Democratic nominee in November 2008.
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Tim Russert:
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That was Wednesday night. I have just watched NBC Nightly News this Thursday, and the same Tim Russert appeared with 2 white boards full of calculations, which all pointed to Hillary Clinton being toasted.
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My general thoughts about the place of the political prediction markets in this primary election season:
The weight of the political prediction markets in the US political scenery is close to epsilon. I have been monitoring Memeorandum (the Web’-s best political news and opinion aggregator), and it has never featured one piece of political prediction market journalism —-not only that, but none of the popular popular pieces, featured by Memeorandum, has ever mentioned the political prediction markets and their probabilities. The people who breathe politics on a daily basis (the experts and the bloggers) don’-t give the first fig about the prediction markets. They couldn’-t care less.
The prediction market luminaries who predicted that the prediction markets were to become a tool used in political campaigns were dead wrong. I have never read that campaign staffers use actively the political prediction markets. Campaigns use private polls, only.
Like in 2004 (when Howard Dean was crowned, early on), the prediction markets, at the start of the primary season, were incapable of foreseeing who would be each party’-s nominee, ultimately —-Barack Obama and John McCain both came out of the blue. But the polls and the political experts didn’-t see them, too.
Nothing surprising in that. While the idiots emphasize the supposed magical power of the prediction markets (using adjectives such as “-fascinating”- or “-intriguing”- when writing about them), the well informed people know for a fact that they simply aggregate information from the primary, advanced indicators and the opinions expressed by the political experts. Nothing more than that. The prediction markets are incapable of foretelling upsets, by essence.
The last weeks were particularly interesting, in that regard, because the Obama-vs-Clinton polls have been of no interest —-only the views of the political experts who could count in terms of delegates and super-delegates were of interest. The political prediction markets on the Democratic side, these last weeks, have been a reflection of the pundits’- calculations.
Outside of our blog, the only person who has aimed at practicing prediction market journalism is Justin Wolfers. He has understood the concept.
I would have my own concept of prediction market journalism, and I don’-t agree with the way he executes, but that’-s a detail. The main thing is that he has gotten the concept. That’-s what is important, and that’-s what makes all the difference between Justin Wolfers and the HubDub bloggers (for instance). The concept. The concept. The concept. The idea is to center the narrative around the inputs given by the relevant prediction market(s) —-not just gluing artificially news bits and a prediction market chart (or a link to a prediction market).
InTrade, BetFair and NewsFutures are, in my view, the 3 prediction exchanges that matter for prediction market journalism —-as of now.
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Now, the charts of the expired prediction markets —-starting with Pennsylvania (of 2 weeks ago):
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Yesterday’-s North Carolina:
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Yesterday’-s Indiana:
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Sources: InTrade &- BetFair
(Go there for the remaining primaries and caucuses. I don’-t put them on, here, because they don’-t matter anymore.)
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Now, the charts of the prediction markets, going forward:
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2008 US Presidential Election Winner – Individual
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2008 US Presidential Elections
Source: Dynamic, compound prediction market charts from InTrade
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 6 times out of 10, the favored outcome will occur- and 4 times out of 10, 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.
–
More Info:
– The Best Resources On Prediction Markets = The Best External Web Links + The Best Midas Oracle Posts
– Prediction Market Science
– The Midas Oracle Explainers On Prediction Markets
– All The Midas Oracle Explainers On Prediction Markets
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Previous blog posts by Chris F. Masse:
Prediction Markets
Meet professor Justin Wolfers.
Become “friend” with me on Google E-Mail so as to share feed items with me within Google Reader.
Nigel Eccles’ flawed “vision” about HubDub shows that he hasn’t any.
How does InTrade deal with insider trading?
Modern Life
“The Beacon” is an excellent blog published by The Independent Institute.
Some of our luminaries have had their vapors and have boldly stated that the public [*] prediction markets would soon take over the free world and become the forecasting tool of choice for decision makers. Since our movement has started, in 2003, that has not happened —-and will never happen (let alone in the year 2020). We were duped by those cocky misleaders. In the coming weeks, I’-m going to try to launch a big intra-industry initiative to find the right usage for the public prediction markets. Stay tuned…- and I hope I’-ll get you on board with me.
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[*] as opposed to the enterprise prediction markets, which is not the topic of my bombastic rant above, which is a horse of another color, and which would deserve a completely different analysis.
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WEB EXCLUSIVE: Here’-s what the political world really cares about…-
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Previous blog posts by Chris F. Masse:
Last year’s best April Fool’s Day Joke had something to do with the Wisdom Of Crowds.
Will HedgeStreet USA, the hypothetical InTrade USA, and the hypothetical TradeFair USA, be regulated in the future by a merged SEC+CFTC regulatory structure?
WORST THAN ELIOT SPITZER (if it were possible): Formula One boss, Max Mosley, had sado-masochist sex with 5 prostitutes, for 5 hours (!!), reenacting a concentration camp scene (!!) in which he played the role of both Nazi guard and inmate.
Is BetFair Poker a booby trap for the gullible novices? Does The Sporting Exchange (the operator of the BetFair brands) help gangs plucking down innocent recreational poker players?? To get an inkling, don’t read The Guardian, seeded by the BetFair spin doctor- read Midas Oracle.
The video that the technologically retarded BetFair spin doctor should watch.
Michael Moore tells the Democratic people to go Barack Obama in Pennsylvania (a two-tier state), but the polls and the prediction markets tell us that that won’t do the trick.
Never talk when you can nod, and never nod when you can wink, and never write an e-mail because it’s death. You’re giving prosecutors all the evidence we need.
Is Justin Wolfers a libertarian? Probably not.
The information technology that caught Eliot Spitzer
Eric Zitzewitz’s 10 minutes of fame
Fun with conditional probabilities
Wrongly Crafted Headlines Of The Day
an American, petite, very pretty brunette, 5 feet 5 inches, and 105 pounds
1. She lost the delegate derby. 2. She essentially tied Obama in the popular vote. 3. She lost more states. 4. She lost the January cash war. 5. The calendar is her enemy.
UPDATE: I just got it that Professor Leighton Vaughan-Williams’-s story and the BetFair compound chart published on top of his story should be understood independently from each other, as this chart was pasted there by the BetFair blog editor.
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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. […-]
No BetFair charts are provided. Bad prediction market journalism.
UPDATE: The compound chart was under my very nose:
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UPDATE: I just got it that Professor Leighton Vaughan-Williams’-s story and the BetFair compound chart published on top of his story should be understood independently from each other, as this chart was pasted there by the BetFair blog editor.
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UPDATE: The BetFair blog has added a new label on the infamous compound chart…-
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NEXT: Did the BetFair blog use trading data from InTrade to hint at BetFair’-s accuracy??
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For your information, I re-publish below the InTrade charts of the last 3 primary races (Wyoming excluded). [BetFair and NewsFutures do not provide on their site the charts of expired contracts. I could ask them later, though.]
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Iowa
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The Democrats.
The Barack Obama event derivative was expired to 100.
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The Republicans
The Mike Huckabee event derivative was expired to 100.
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New Hampshire
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The Democrats
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The Hillary Clinton event derivative was expired to 100.
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The Republicans
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The John McCain event derivative was expired to 100.
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Michigan
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The Democrats
The Hillary Clinton event derivative was expired to 100.
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The Republicans
The Mitt Romney event derivative was expired to 100.
Source: InTrade
Author Profile -Editor and Publisher of Midas Oracle .ORG .NET .COM —- Chris Masse’-s mugshot —- Contact Chris Masse —- Chris Masse’-s LinkedIn profile —- Chris Masse’-s FaceBook profile —- Chris Masse’-s Google profile —- Sophia-Antipolis, France, E.U. Read more from this author…-Read the previous blog posts by Chris. F. Masse:
Are David Pennock’s search engine prediction markets the worst marketing disaster since the New Coke?
Midas Oracle is incontestably [*] the best vertical portal to prediction markets.
Comment spam paid by Emile Servan-Schreiber of NewsFutures-Bet2Give
BetFair Games needs a Swedish provider to develop its gambling offerings.
When Markets Beat the Polls – Scientific American Magazine
Robin Hanson has some fanboy in India. Great. Tiny caveat: The parroting Indian writer does not acknowledge Robin Hanson by name.
New York Times – Talking Point Memo
Here are the event derivative charts of expired InTrade contracts.
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