Tag Archives: prediction market prices

Free Prediction Market Data — Trading Fees

If you think of it, the business model of BetFair and InTrade should be to deliver free prediction market data to the world, while leveraging trading fees on the bettors. Agree?

Posted in Analysis (Industry), Business, Exchange & Market Management, Exchanges & Markets | Tagged , , , , , , , , , | 8 Comments

Don’t event derivative prices represent aggregated expected probabilities, rather?

InTrade CEO’s poodle got corrected on the concept of interpreting prediction market prices as probabilities: – - LoudNotes, please contact me, I do have a vacant blog author slot to fill: cfm |-at-| midasoracle |.|-com-| chrisfmasse |-at-| gmail |.|-com-| -

Posted in All Best Posts Ever, Analysis (Meta), Economics, Exchanges & Markets, Explainers, Forecasting (Science & Practice), Science | Tagged , , , , , , , , , , , , | 1 Comment

WORLD-WIDE WEB EXCLUSIVE (PLEASE, DO CREDIT “MIDAS ORACLE” FOR THE SCOOP): Here’s what Nigel Eccles drinks when he works on the HubDub mission statement.

- 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. – In my view, the … Continue reading

Posted in Exchanges & Markets, Humor, Prediction Journalism | Tagged , , , , , , , , , , , , , , , , , , , , , , | 2 Comments

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

[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 … Continue reading

Posted in Analysis (Industry), Exchanges & Markets, Internet Marketing - Internet Commerce, Prediction Journalism | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , | 5 Comments

Reporting prediction market probabilities

David Pennock takes a sudden interest in prediction market journalism. Good. (Better late than never.) My thoughts: Do report the probabilities, not the prices. Do not report spread info. Do report probabilities from the very top, most liquid prediction markets, … Continue reading

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