Discussing the Survivability Issue in Agent-Based Artificial Stock Market
AbstractBlume and Easly  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 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 , and we conclude that preference is the key factor determining agents"survivability.
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Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 2004 with number 300.
Date of creation: 11 Aug 2004
Date of revision:
Agent-based model; Artificial stock market; Genetic programming;
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