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Empirical Analysis of the Relation Between Daily Return Rate, Volatility and Trading Volume of Shanghai Stock Market Comprising Index Based on Nonlinar Dynamics
上证指数收益率、波动性与成交量动态关系研究——基于日数据的非线性动力学实证分析

Keywords: return volatility,trading volume,Lyapunov exponent,stepwise regression,EGARCH-M model,chaos
波动性
,成交量,Lyapunov指数,逐步回归,EGARCH-M模型,混沌

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Abstract:

This paper investigates the relationships between return rate,return volatility and trading volume of Shanghai Stock Market Comprising Index.We measure return volatility by EGARCH(1,1)-M(exponential generalized autoregressive conditional heteroscedasticity) model and volatility of trading volume by ARMA(4,3)-ARCH(1) model.we build two-dimensional dynamic system of return rate and trading volume(R-V),return volatility and trading volume(h\-R-V),return volatility and volume volatility(h\-R-h\-V) by using stepwise regression method,and investigate the dynamic behaviour of these systems.The results indicate that there does not exist chaos in these two-dimensional dynamic systems composed by return and trading volume,return volatility and trading volume ,although many empirical analysis indicate that the time series of stock market return rate is chaotic.

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