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Adaptive Learning in Financial Markets

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Author Info
Routledge, Bryan R

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Abstract

We investigate adaptive or evolutionary learning in a repeated version of the Grossman and Stiglitz (1980) model. We demonstrate that any process that is a monotonic selection dynamic will converge to the rational expectations asset demands if the proportion of informed traders is fixed. We also show that these learning processes have a unique asymptotically stable fixed point at the Grossman-Stiglitz (GS) equilibrium. The robustness of learning to noisy experimentation is studied using Binmore and Samuelson's (1999) deterministic drift approximation. Conditions on economic and learning process parameters for adaptive learning to lead to the GS rational expectations equilibrium are presented. Article published by Oxford University Press on behalf of the Society for Financial Studies in its journal, The Review of Financial Studies.

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Publisher Info
Article provided by Oxford University Press for Society for Financial Studies in its journal Review of Financial Studies.

Volume (Year): 12 (1999)
Issue (Month): 5 ()
Pages: 1165-1202
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Handle: RePEc:oup:rfinst:v:12:y:1999:i:5:p:1165-1202

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  3. Diks, C.G.H. & Dindo, P.D.E., 2006. "Informational differences and learning in an asset market with boundedly rational agents," CeNDEF Working Papers 06-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance. [Downloadable!]
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