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Rational Trend Followers and Contrarians in Excessively Volatile, Correlated Markets

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Author Info
Masahiro Watanabe () (Jesse H. Jones Graduate School of Management)

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Abstract

This paper studies an overlapping generations model with multiple securities and heterogeeously informed agents. There are two types of multiplicity of equilibria, one due to noisy rational expectations and the other resulting from self-fulfilling prophecies. Under general conditions, there exists an equilibrium in which stock returns are highly volatile and strongly correlated, even if all underlying shocks are small and independent. Other equilibria include a highly volatile, weakly correlated one. When prices are partially revealing, less informed agents rationally behave like trend-followers, while better informed agents follow contrarian strategies. Trade volume has an inverted-U relation with information precision, and is positively correlated with absolute price changes. Accurate information generally weakens agents' trend-following and contrarian behavior, while it strengthens the properties of a highly volatile, strongly correlated equilibrium. Unlike existing noisy rational expectations equilibrium models, a fully revealing equilibrium is well defined and provides a useful link to the traditional literature.

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Publisher Info
Paper provided by Yale School of Management in its series Yale School of Management Working Papers with number ysm267.

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Date of creation: 07 May 2002
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Handle: RePEc:ysm:somwrk:ysm267

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Related research
Keywords: excessive volatility and comovement; trend-chasing; momentum and contrarian behavior; overlapping generations; noisy rational expectations;

Find related papers by JEL classification:
G12 - Financial Economics - - General Financial Markets - - - Asset Pricing

Cited by:
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  1. Biais, Bruno & Bossaerts, Peter & Spatt, Chester, 2009. "Equilibrium Asset Pricing and Portofolio Choice Under Asymmetric Information," IDEI Working Papers 474, Institut d'Économie Industrielle (IDEI), Toulouse. [Downloadable!]
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This page was last updated on 2009-12-2.


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