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We use a proprietary dataset to test the implications of several asymmetric information models on how short-lived private information affects trading strategies and liquidity provision. Our identification rests on information acquisition before analyst recommendations are publically announced....
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Using a database of daily institutional trades, we document that a majority of short-term institutional trades lose money. In aggregate, over 23% of round-trip trades are held for less than three months, and the returns on these trades average -3.91% (non-annualized). These losses are pervasive...
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Whether proprietary traders provide or take liquidity, and how their behavior evolves over the business cycle and across stocks, remains at the center of an ongoing debate. Using a unique dataset from the NYSE, we document that proprietary traders concentrate their trades in large and liquid...
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We identify long-lived pricing errors through a model in which inattentive investors arrive stochastically to trade. The model’s parameters are structurally estimated using daily NYSE market-maker inventories, retail order flows, and prices. The estimated model fits empirical variances,...
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