摘要
针对实际政策传播过程中的复杂性,建立宏观系统的金融政策传播模型并在多智能体仿真开发平台Netlogo下编程实现。动态地模拟企业引入金融政策后金融市场的演化过程,展现具有不同特征的企业在金融市场上是如何随着时间进行相互交互作用。最后给出了金融政策效用下的企业状态演化与预测实验结果,量化了政策对市场的激励,将人文社会科学研究与复杂网络理论进行结合与集成创新。
In this paper, based on the actual complexity in the process of policy transmission, financial policy propagation model is built and realized on Muhi-agent simulation development software named Netlogo. The evolution of financial markets is dynamically simulated after the enterprises introduce financial policy, to show the mutual interaction of enterprises with different characteristics in the financial market over time. Eventually, the evolution and prediction results of the state of the enterprise under the financial policy will be feedback and quantify the market incentives of policy, which is a perfect combination and integrated innovation of social science and network theory.
出处
《上海金融学院学报》
2015年第4期94-105,共12页
Journal of Shanhai Finance University
基金
2014年上海大学生创新创业项目<基于Netlogo仿真的金融政策效用下金融市场演化研究与实现--以<关于促进上海市互联网金融产业健康发展的若干意见>为例做实证分析>(编号201411639036)
2014年上海金融学院理科重点项目<基于社会计算的社会公共管理政策效用演化仿真研究>(编号SHFUKT14-01)支持
关键词
多智能体仿真
金融政策
企业状态预测
multi-agent simulation
financial policy
enterprise
state prediction
