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Financial Markets Can Be at Sub-optimal Equilibria

  • Joshi, Shareen
  • Parker, Jeffrey
  • Bedau, Mark A
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    We use game theory and Santa Fe Artificial Stock Market, an agent-based model of an evolving stock market, to study the optimal frequency for traders to revise their market forecasting rules. We discover two things: There is a unique strategic Nash equilibrium in the game of choosing forecast revision rates, and this equilibrium is sub-optimal in the sense that traders' earnings are not maximized an the market is inefficient. This strategic equilibrium is due to an analogue of the prisoner's dilemma; the optimal global state is unstable because each trader has too much incentive to "defect" and use forecasting rules that pull the market into the sub-optimal equilibrium. Copyright 2002 by Kluwer Academic Publishers

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    Article provided by Society for Computational Economics in its journal Computational Economics.

    Volume (Year): 19 (2002)
    Issue (Month): 1 (February)
    Pages: 5-23

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    Handle: RePEc:kap:compec:v:19:y:2002:i:1:p:5-23
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