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• W2400771726 abstract "Using a machine-learning algorithm, we classify over 60,000 director transactions into discretionary and non-discretionary purchases and sales based on the trading motive provided by the insider. We find that discretionary trades by company insiders are more informed than non-discretionary trades. Further, discretionary purchases generate higher abnormal returns (1) for larger purchases, or when the purchase is for (2) the stock of a smaller firm, or (3) a firm with greater information asymmetry." @default.
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• W2400771726 date "2016-09-01" @default.
• W2400771726 modified "2023-10-04" @default.
• W2400771726 title "Director discretion and insider trading profitability" @default.
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• W2400771726 doi "https://doi.org/10.1016/j.pacfin.2016.05.005" @default.
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