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Artificial stock market simulation based on agent

机译:基于Agent的人工股市模拟

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摘要

Empirical facts from financial data pose some of the most difficult puzzles for equilibrium macroeconomic modeling. Features such as wealth aggregation and market efficiency are not easily replicated by any single representative agent model. Most agent-based financial markets are able to match a good subset of these features quite easily. In this paper,a heterogeneous agent-based artificial stock market will be presented under the frame of SFI-ASM,which will be helpful to understand the puzzles in real financial markets.
机译:金融数据的经验事实为均衡宏观经济建模带来了一些最困难的难题。诸如财富汇总和市场效率之类的功能很难通过任何单一的代理模型来复制。大多数基于代理的金融市场都可以很容易地匹配这些功能的一个很好的子集。本文将在SFI-ASM框架下提出基于异质代理的人工股票市场,这将有助于理解真实金融市场中的难题。

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