Agent-Based Framework in Artificial Stock Market:Trading Strategy Based on the Risk Tolerance
Artificial stock markets are models of real stock markets,designed with the aim to study market dynamics that including all individuals behaviors that related to the systems.The dynamics that want to be modeled in this study is about the investors risk tolerance,and which risk tolerance strategies that succeed in stock market trading.Based on the simulation of the model,different risk level will result in different profit or loss condition.And this model is able to proof the theory about the type of risk:the risk taker,risk averse,and risk indifferent.
Wibowo,Maharani
Institut Teknologi Bandung Maharani Wibowo,Institut Teknologi Bandung,Jl.Ganesha 10 Bandung West Java Indonesia 40132
国际会议
PAN-PACIFIC CONFERENCE XXVI(“战略创新、协作融合泛太平洋管理学会第26届年会)
深圳
英文
309-311
2009-06-01(万方平台首次上网日期,不代表论文的发表时间)