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• W1534886543 abstract "There have been many theoretical representations of learning in financial markets, but few empirical realizations. In this paper, we establish an empirical learning framework which emphasizes the ordering of history, the similarity of events, the importance of memory and the importance of parameter variation in learning. The methodology proposed transforms the standard event study into a dynamic event study with learning. We construct a test for learning and investigate its properties using a Monte Carlo simulation. To illustrate the method, we consider a long-period study of IPOs on the NYSE, AMEX and NASDAQ from 1980 to 1996." @default.
• W1534886543 created "2016-06-24" @default.
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• W1534886543 date "2002-01-01" @default.
• W1534886543 modified "2023-09-23" @default.
• W1534886543 title "Learning and Predictability Across Events" @default.
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• W1534886543 doi "https://doi.org/10.2139/ssrn.314362" @default.
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