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日历、成交量进程和股价波动率的关系
引用本文:王柱,吴冲锋,王欣荣,冯芸.日历、成交量进程和股价波动率的关系[J].上海交通大学学报,2006,40(4):615-618.
作者姓名:王柱  吴冲锋  王欣荣  冯芸
作者单位:上海交通大学,安泰经济与管理学院,上海,200052
基金项目:国家杰出青年科学基金(70025303)
摘    要:在成交量进程标度的股票价格动力学方程为几何布朗运动的假设下,将股票价格动力学方程的进程标度从成交量进程转换到日历进程.转换后的股价动力学方程能表现出异步交易特性,也能表现出股票收益率与成交量的非线性关系,而且能表现出股票收益波动率与成交量的非线性关系.通过对沪深两市共21支流通市值较大股票的实证检验,表明该模型能显著改进股票收益率的正态性.

关 键 词:日历进程  成交量进程  异步交易
文章编号:1006-2467(2006)04-0615-04
收稿时间:2005-03-27
修稿时间:2005年3月27日

The Relationship of the Calendar Process, Transaction Process and the Price Volatility
WANG Zhu,WU Chong-feng,WANG Xin-rong,FENG Yun.The Relationship of the Calendar Process, Transaction Process and the Price Volatility[J].Journal of Shanghai Jiaotong University,2006,40(4):615-618.
Authors:WANG Zhu  WU Chong-feng  WANG Xin-rong  FENG Yun
Institution:Antai School of Economics and Management, Shanghai Jiaotong Univ. , Shanghai 200052, China
Abstract:The stock price is supposed to follow a geometric Brownian process under the transaction process,and the corresponding one under the calendar process has been reduced theoretically.The model shows the property of non-linear relationship between stock price and its volatility and between stock price and its trade volume,what's more,the new model can take on non-synchronous trade effect.The empirical study was done through 21 relatively big-scaled stocks traded in Shanghai Exchange and Shenzhen Exchange.The result shows the model can improve the normality of the stock returns considerably.
Keywords:calendar process  transaction process  non-synchronous trade
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