Category Archives: Analysis (Accuracy & Precision)
Google’s enterprise prediction markets — Using Prediction Markets to Track Information Flows: Evidence from Google
Using Prediction Markets to Track Information Flows: Evidence from Google – (PDF file – PDF file) – by Bo Cowgill, Justin Wolfers, and Eric Zitwewitz – 2008-01-06
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VIDEO — Bo Cowgill on Google’s enterprise prediction markets — O’Reilly Money:Tech
Blip.TV — (FLV file)
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Using Prediction Markets to Track Information Flows: Evidence from Google – (PDF file – PDF [...]
Also posted in All Best Posts Ever, Analysis (Market Efficiency), Analysis (Meta), Cases, Exchanges & Markets
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Tagged accuracy, active trader, Bo Cowgill, CEO, Chief Economist, corporate prediction markets, efficieny, enterprise prediction markets, Eric Schmidt, Eric Zitwewitz, event derivative markets, event derivatives, gas prices, Google, Google Using Prediction, Google's enterprise prediction markets, Google's prediction exchange, Google's prediction markets, Hal Varian, internal prediction markets, Justin Wolfers, prediction markets, private prediction markets, Robin Hanson, Social Networks, trader, United States, USD, Wars Episode III
Intel Corporation found their information aggregation mechanism to be accurate and useful.
WARNING: Even though the Intel director uses 15 times the term “prediction markets” in this paper, the forecasting tool they have been using is another form of information aggregation mechanism.
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The Spectrum of Risk Management in a Technology Company – Using Forecasting Markets to Manage Demand Risk – (PDF) – by Intel Corporation’s Jay W. Hopman [...]
Also posted in All Best Posts Ever, Analysis (Meta), Cases, Forecasting (Science & Practice)
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Tagged director, Eli Lilly, Google, Hewlett Packard, informal networks, Intel Corporation, Jay W. Hopman, Microsoft, potential solution
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