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Discussing the Survivability Issue in Agent-Based Artificial Stock Market

Author

Listed:
  • Ya-Chi Huang
  • Shu-Heng Chen

Abstract

Blume and Easly [1992] show that if agents have the same savings rule, an expected discounted logarithmic utility maximizer with correct beliefs will dominate. If no agent adopts this rule, then agents with incorrect beliefs, but equally averse to risk as logarithmic utility maximizers, may eventually hold more wealth than the agent with correct beliefs. In other words, a trader with correct beliefs can be driven out of the market by traders with incorrect beliefs. However, Sandroni[2000] shows that, among agents who have the same intertemporal discount factor and who choose savings endogenously, the most prosperous will be those making accurate predictions. Agents with inaccurate predictions will be driven out of the market regardless of their preference. By using the extended agent-based artificial stock market, we simulate the evolution of portfolio behavior, and investigate the characteristics of the long-run surviving population of investors. Our agent-based simulation results are largely consistent with Blume and Easly [1992], and we conclude that preference is the key factor determining agents"survivability.

Suggested Citation

  • Ya-Chi Huang & Shu-Heng Chen, 2004. "Discussing the Survivability Issue in Agent-Based Artificial Stock Market," Computing in Economics and Finance 2004 300, Society for Computational Economics.
  • Handle: RePEc:sce:scecf4:300
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    More about this item

    Keywords

    Agent-based model; Artificial stock market; Genetic programming;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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