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The Trading Behavior Analysis of Short- and Long-memory Investors in Artificial Stock Market

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成果类型:
期刊论文
作者:
Tian, Wei*;Tan, Duoduo
通讯作者:
Tian, Wei
作者机构:
[Tian, Wei] Hunan Agr Univ, Sch Business, Changsha 410128, Hunan, Peoples R China.
通讯机构:
[Tian, Wei] H
Hunan Agr Univ, Sch Business, Changsha 410128, Hunan, Peoples R China.
语种:
英文
关键词:
artificial stock market;long-memory;short-memory;agent
期刊:
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE OF MANAGEMENT ENGINEERING AND INFORMATION TECHNOLOGY, VOLS 1 AND 2
年:
2009
页码:
356-360
机构署名:
本校为第一且通讯机构
院系归属:
商学院
摘要:
Standard financial theory believes that in the efficient market people cannot beat the market except by luck. However, in the real world, different investors use different lengths of past information to determine their investing process and gain profits. Therefore, this artical tries to investigate whether the trading behavior of long- and short-memory investors could affect the learning process of the market. A simple agent-based model is built to do the task. Although the technology of the model is still imperfectly,...

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