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Does herd behavior increase stock price volatility?

  • Xiang Dong Liu*
  • , Cheng Liu
  • , Shan Cun Liu
  • , Jia Jun Lu
  • *此作品的通讯作者
  • University of Science and Technology Beijing
  • University of California at San Diego

科研成果: 期刊稿件文章同行评审

摘要

Research results have even given the opposite conclusions on whether herd behavior increase stock price volatility. Assume that the change of view for traders buying or selling is mainly affected by their cognitive ability for the basic value of stock and other traders' behaviors. This paper constructs a mathematical model describing the change of market average investment attitude and stock prices, and analyzes the stability of the model by using the related theory of discrete dynamic system, and defines the degree of herding behavior according to whether the financial market is stable. The results indicate that: in mild herding effect interval, stock prices accordingly present periodic micro-amplitude fluctuations; in moderate herding effect interval, after experiencing a period of damping volatility, stock prices convergence to equilibrium, and there exists an optimal degree of herding behavior which encourages the stock price to approach equilibrium in the fastest speed; in severe herding effect interval, stock prices irrationally sharply fluctuate in large amplitudes which can lead to severe stock market bubble and the financial crisis.

源语言英语
页(从-至)1361-1368
页数8
期刊Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
34
6
出版状态已出版 - 6月 2014

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