Abstract: Agent-based Computational Finance（ACF） is a powerful tool for financial markets analysis，and it is therefore a hot topic for international researchers.Moreover，policy simulation based computational finance is a new advance in this area.Using simulation platform for financial markets and analysts can simulate the behavior of market participants and supervisory sectors to abstain the possible results if one given market supervision or policy would be implemented.This study gives a review on those achievement including the methodology，new advance，opportunities and threats of ACF.

Key words: Agent-based Computational Finance（ACF）, simulation study, policy simulation, financial markets

摘要： 面向对象的计算金融学建模方法是一个非常有前景的金融市场分析方法，也是该研究领域的国际前沿与热点问题。基于计算金融学的政策模拟与政策设计研究则是该领域在最近几年的新进展，旨在通过金融市场的仿真实验平台，模拟市场交易者和监管部门的行为，考察各种监管措施和政策可能产生的市场反应。从研究方法、理论进展、研究逻辑、面临的机遇与挑战等几个方面对这一领域的最新研究成果进行了系统地分析与评述。

关键词: 计算金融学, 仿真研究, 政策模拟, 金融市场