透過您的圖書館登入
IP:18.218.79.102
  • 期刊

Analysis of Leverage Effect of China's Stock Market Based on Spline SV Model

並列摘要


In most of the stochastic volatility (SV) literature, the correlation structure in the classical leverage SV model is fixed, which can't reflect the volatility and leverage effect accurately. In this paper, we use the Spline SV model whose correlation is time varying to simulate the volatility of return in China's stock market, then we make a comparison with the basic SV model and the leverage SV model. The results show that the Spline SV model performs better in describing the volatility and leverage effect. In particular, the new model finds strong evidence of time varying leverage effect in individual stocks when the leverage model fails to notice it.

參考文獻


Liu, F. Q.,Wu, X. Z.(2007).A New Algorithm for Estimating Stochastic Volatility Model and the Application in Shanghai Stock Market.Systems Engineering-theory & Practice.4,27-31.
Liu, F. Q.(2004).The Comparison among SV Family Models Based on DIC criterion.Statistics and Decision.9,24-25.
H. Daouk and D. Ng (2007), Is Unlevered Firm Volatility Asymmetric? Working Paper, Cornell University.
Zhu, H. M.,Li, F.,Yang, J. M.(2007).Bayesian Modeling of Heavy-tailed Stochastic Volatility Financial Model.Operations research and management science.4,111-115.
Yu, J.(2012).A Semiparametric Stochastic Volatility Model.Journal of Econometrics.167,473-482.

延伸閱讀