A New Agent-Based Artificial Stock Market with Short-Term Dynamics
Agent-based computational finance is attracting significant interest in many disciplines. But most artificial stock markets (ASM) was built in a complex manner and not suited for studying the short-term dynamics of stock market. This activated us to build a new model different from literatures in three main parts of designing an artificial stock market: economic environment, agents behavior and price formation. The results of simulation show that our model can reproduce the stylized facts of short-term dynamics.
financial engineering stylized facts artificial stock market short-term dynamics
Xinghua Liu Jianmei Yang Bingyong Tang
School of Information Management, Shandong Economic University, Jinan, 250014, China School of Business Administration, South China University of Technology, Guangzhou, 510641, China Glorious Sun School of Business and Management, Donghua University, Shanghai, 200051,China
国际会议
上海
英文
2007-09-21(万方平台首次上网日期,不代表论文的发表时间)