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基于半参数LM-ARMAX模型的股价波动成因分析
引用本文:陈春春,胡日东. 基于半参数LM-ARMAX模型的股价波动成因分析[J]. 华侨大学学报(自然科学版), 2012, 33(3): 330-336
作者姓名:陈春春  胡日东
作者单位:华侨大学经济与金融学院,福建泉州,362021
基金项目:国家软科学计划项目,教育部科学技术研究重点基金资助项目
摘    要:选择沪市1991-2010年所有上市公司的数据,建立LM-ARMAX模型来实证股票价格波动的决定因素;然后,根据模型半参数估计的结果,进行基于半参数估计的广义似然比检验和基于Wild Bootstrap的Smirnov检验.研究结果表明:市帐率和成交量是股票价格波动的主要因素,而净资产收益率对股票价格波动的影响不显著;相比起"指数研究"和"样本替代研究"而言,实证的数据精确度更高,说服力更强.

关 键 词:股票价格  LM-ARMAX模型  波动率  半参数估计  非线性

Stock Price Volatility Analysis Based on Semi-Parametric LM-ARMAX Model
CHEN Chun-chun , HU Ri-dong. Stock Price Volatility Analysis Based on Semi-Parametric LM-ARMAX Model[J]. Journal of Huaqiao University(Natural Science), 2012, 33(3): 330-336
Authors:CHEN Chun-chun    HU Ri-dong
Affiliation:(College of Economics and Finance,Huaqiao University,Quanzhou 362021,China)
Abstract:We selected all listed companies data of 1991-2010 in Shanghai stock exchange,established long memory-autoregressive moving average with exogenous variables(LM-ARMAX) model to study the determining factors of stock price volatility,and then,had a generalized likelihood ratio test based on the semi-parametric estimation and Smirnov test based on Wild Bootstrap according to the results of semi-parametric estimation of the model.The results show that the major factors of the stock price volatility are the book ratio and the volume,not the income ratio of net assets;compared to "index research" and "sample alternative research",the empirical data is more accurate and more convincing.
Keywords:stock prices  LM-ARMAX model  volatility  semi-parametric estimation  nonlinear
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