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中国管理科学 ›› 2008, Vol. 16 ›› Issue (5): 1-8.

• 论文 •    下一篇

股价波动的本质特征是什么?——基于非线性动力学分析视角的研究

李红权1,2, 汪寿阳1, 马超群3   

  1. 1. 中国科学院数学与系统科学研究院, 北京100080;
    2. 湖南师范大学商学院, 湖南长沙410081;
    3. 湖南大学工商管理学院, 湖南长沙410082
  • 收稿日期:2007-10-24 修回日期:2008-08-19 出版日期:2008-10-31 发布日期:2008-10-31
  • 作者简介:李红权(1976- ),男(汉族),河南人,中国科学院系统所管理学博士后(在站),湖南师范大学商学院副教授,研究方向:金融管理与金融工程.
  • 基金资助:

    国家自然科学基金委员会优秀创新研究群体基金(70221001);国家自然科学基金(70471030);中国博士后科学基金资助项目(20070410648)

What’s the Nature of Volatility in Stock Prices?——Based on the Nonlinear Dynamical Analysis Principle

LI Hong-quan1,2, WANG Shou-yang1, MA Chao-qun3   

  1. 1. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100080, China;
    2. Business school, Hunan Normal university, Changsha 410081, China;
    3. College of Business Administration, Hunan University, Changsha 410082, China
  • Received:2007-10-24 Revised:2008-08-19 Online:2008-10-31 Published:2008-10-31

摘要: 基于金融复杂性研究视角,采用非线性动力学分析方法,分析股市波动的本质特征与形成机制。结果表明股市波动具有显著的分形动力学特征与长期记忆效应;股票市场存在低维混沌,具有内生的不稳定性;股价行为有其内在的非线性动力学形成机制,揭示出金融市场的正反馈机制、投资者的异质性与相互影响是引发市场复杂行为的重要途径;提出了非线性金融理论的研究方向并阐明了对于金融实践的意义。

关键词: 金融市场, 复杂性, 非线性动力学, 正反馈, 异质性

Abstract: From the view of financial complexity,this paper aims at discovering mechanism and nature of volatility in stock prices based on the methodology of nonlinear dynamical analysis. Our research indicates that market volatility exhibits fractal characteristic and long-memory effect. Furthermore,our empirical studies show that capital markets possess an underlying low-dimensional chaotic system and therefore endogenous instability. Our research also indicates that the behavior of stock prices has internal mechanism of nonlinear dynamics,and is the result of positive feedbacks and interactions between heterogeneous investors. Finally,it presents further research guide of nonlinear financial theory and gives a new insight into investment practice.

Key words: financial markets, complexity, nonlinear dynamics, positive feedback, heterogeneity

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