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On the Possibility of Informationally Efficient Markets: Part b

  • David Goldbaum

    ()

A counter example to the Grossman and Stiglitz (1980) finding of the impossibility of informationally efficient markets is produced using discrete choice dynamics to govern the evolution of the trader population that choose between being informed or uninformed based on past performance.

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File URL: http://www.rutgers-newark.rutgers.edu/econnwk/workingpapers/2004-011.pdf
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Paper provided by Department of Economics, Rutgers University, Newark in its series Working Papers Rutgers University, Newark with number 2004-011.

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Length: 9 pages
Date of creation: Oct 2004
Date of revision:
Handle: RePEc:run:wpaper:2004-011
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  1. Marcet, Albert & Sargent, Thomas J, 1989. "Convergence of Least-Squares Learning in Environments with Hidden State Variables and Private Information," Journal of Political Economy, University of Chicago Press, vol. 97(6), pages 1306-22, December.
  2. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
  3. Marcet, Albert & Sargent, Thomas J., 1989. "Convergence of least squares learning mechanisms in self-referential linear stochastic models," Journal of Economic Theory, Elsevier, vol. 48(2), pages 337-368, August.
  4. Sethi, Rajiv & Franke, Reiner, 1995. "Behavioural Heterogeneity under Evolutionary Pressure: Macroeconomic Implications of Costly Optimisation," Economic Journal, Royal Economic Society, vol. 105(430), pages 583-600, May.
  5. Brock, W.A. & Hommes, C.H., 1996. "A Rational Route to Randomness," Working papers 9530r, Wisconsin Madison - Social Systems.
  6. William A. Brock & Blake D. LeBaron, 1995. "A Dynamic Structural Model for Stock Return Volatility and Trading Volume," NBER Working Papers 4988, National Bureau of Economic Research, Inc.
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