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In prediction markets, investors trade assets whose values are contingent on the occurrence of future events, like election outcomes. Prediction market prices have been shown to be consistently accurate forecasts of these outcomes, but we don't know why. I formally illustrate an information...
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We develop a novel experimental paradigm to study the causal impact of trading algorithms on informational efficiency, liquidity, and welfare. In our design, public information about the asset value is revealed during trading, which gives algorithms a reaction speed advantage. We distinguish...
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We investigate the informational content of prices in financial asset markets. To do so we use a large number of market experiments where the amount of information held by traders is precisely observed. We derive a new method to estimate how much of this information is incorporated in market...
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