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Market Efficiency and Learning in an Endogenously Unstable Environment

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Author Info
David Goldbaum ()

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Abstract

A least-squares model governs the learning process as traders attempt to extract private information from the market price of an asset. Replicator dynamics govern the evolution of the popularity of this strategy against the alternative, directly acquiring the private information through research. The lack of a fixed point to the dual dynamics embodies the Grossman and Stiglitz (1980) impossibility of informationally efficient markets. The asymptotic behavior of the system has the model switching between price stability and instability, endogenously generating noise in the price. The asymptotic behavior is the same when all traders access and employ both fundamental and market information.

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Paper provided by Department of Economics, Rutgers University, Newark in its series Working Papers Rutgers University, Newark with number 2004-002.

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Date of creation: Feb 2004
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Handle: RePEc:run:wpaper:2004-002

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Related research
Keywords: Efficient Markets Least-Square Learning

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Find related papers by JEL classification:
G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
C62 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Existence and Stability Conditions of Equilibrium
D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information

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  1. 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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  2. Brock, W.A. & Hommes, C.H. & Wagener, F.O.O., 2006. "More hedging instruments may destabilize markets," CeNDEF Working Papers 06-12, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance. [Downloadable!]
    Other versions:
  3. David Goldbaum, 2004. "On the Possibility of Informationally Efficient Markets," Working Papers Rutgers University, Newark 2004-009, Department of Economics, Rutgers University, Newark. [Downloadable!]
    Other versions:
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