摘要
本文对行为金融(behavioral finance,BF)研究中新兴的基于Agent的计算金融(agent-based compu-tational finance,ACF)方法做出综述。指出BF研究面临的局限,介绍了ACF方法的相关内容,分类列举该领域中的代表示例,并展现其研究特点,最后阐述现有缺陷和未来研究方向。
This paper summarizes some recent studies in behavioral finance (BF) with agent-based computational finance (ACF). Based on the analysis of the intrinsic difficulties faced with BF studies, related advantages of ACF are illuminated briefly. Next, several representative examples in different aspects are enumerated to exhibit the characteristics of the behavioral finance studies with ACF. Finally, some limitations of the approach and the potential fields to study in future are indicated.
出处
《现代财经(天津财经大学学报)》
CSSCI
北大核心
2008年第10期9-13,共5页
Modern Finance and Economics:Journal of Tianjin University of Finance and Economics
基金
国家自然科学基金资助项目(70471062)
关键词
AGENT
行为金融
金融市场
仿真
实验
Agent
Behavioral Finance
Financial Market
Simulation
Experiment