Information percolation, momentum and reversal
Daniel Andrei and
Julien Cujean
Journal of Financial Economics, 2017, vol. 123, issue 3, 617-645
Abstract:
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.
Keywords: Asset pricing; Momentum; Information percolation; Equilibrium (search for similar items in EconPapers)
JEL-codes: G11 G12 G14 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (38)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jfinec:v:123:y:2017:i:3:p:617-645
DOI: 10.1016/j.jfineco.2016.05.012
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