Information percolation, momentum and reversal
We propose a joint theory of time-series momentum and reversal based on a rational-expectations model. We show that a necessary condition for momentum to arise in this framework is that information flows at an increasing rate. We focus on word-of-mouth communication as a mechanism that enforces this...
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Veröffentlicht in: | Journal of financial economics 2017-03, Vol.123 (3), p.617-645 |
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creator | Andrei, Daniel Cujean, Julien |
description | We propose a joint theory of time-series momentum and reversal based on a rational-expectations model. We show that a necessary condition for momentum to arise in this framework is that information flows at an increasing rate. We focus on word-of-mouth communication as a mechanism that enforces this condition and generates short-term momentum and long-term reversal. Investors with heterogeneous trading strategies—contrarian and momentum traders—coexist in the marketplace. Although a significant proportion of investors are momentum traders, momentum is not completely eliminated. Word-of-mouth communication spreads rumors and generates price run-ups and reversals. Our theoretical predictions are in line with empirical findings. |
doi_str_mv | 10.1016/j.jfineco.2016.05.012 |
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subjects | Asset pricing Communication Equilibrium Information percolation Investors Momentum Rational expectations Studies Time series |
title | Information percolation, momentum and reversal |
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