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Contrary to the central predictions of signaling models, changes in profits do not empirically follow changes in dividends, and firms with the least need to signal pay the bulk of dividends. We show both theoretically and empirically that dividends signal safer, rather than higher, future profits. Using the Campbell (1991) decomposition, we are able to estimate expected cash flows from data on stock returns. Consistent with our model's predictions, cash-flow volatility changes in the opposite direction from that of dividend changes, and larger changes in volatility come with larger announcement returns. We find similar results for share repurchases. Crucially, the data support the prediction---unique to our model---that the cost of the signal is foregone investment opportunities. We conclude that payout policy conveys information about future cash-flow volatility.
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We examine the dynamic relation between return and volume of individual stocks. Using a simple model in which investors trade to share risk or speculate on private information, we show that returns generated by risk-sharing trades tend to reverse themselves while returns generated by speculative trades tend to continue themselves. We test this theoretical prediction by analyzing the relation between daily volume and first-order return autocorrelation for individual stocks listed on the NYSE and AMEX. We find that the cross-sectional variation in the relation between volume and return autocorrelation is related to the extent of informed trading in a manner consistent with the theoretical prediction.
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