ISSN 1008-2204
CN 11-3979/C
王娟, 李锐. 中国股市的时变波动性——基于长记忆性、杠杆效应视角[J]. 北京航空航天大学学报社会科学版, 2019, 32(3): 57-65, 79. DOI: 10.13766/j.bhsk.1008-2204.2017.0033
引用本文: 王娟, 李锐. 中国股市的时变波动性——基于长记忆性、杠杆效应视角[J]. 北京航空航天大学学报社会科学版, 2019, 32(3): 57-65, 79. DOI: 10.13766/j.bhsk.1008-2204.2017.0033
WANG Juan, LI Rui. Volatility Analysis of Chinese Stock Market Based on Time-varying Long-memory and Leverage effe[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2019, 32(3): 57-65, 79. DOI: 10.13766/j.bhsk.1008-2204.2017.0033
Citation: WANG Juan, LI Rui. Volatility Analysis of Chinese Stock Market Based on Time-varying Long-memory and Leverage effe[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2019, 32(3): 57-65, 79. DOI: 10.13766/j.bhsk.1008-2204.2017.0033

中国股市的时变波动性——基于长记忆性、杠杆效应视角

Volatility Analysis of Chinese Stock Market Based on Time-varying Long-memory and Leverage effe

  • 摘要: 为了更准确地描述中国股市的周期波动,以上证综指和深证成指2001年1月12日到2016年12月23日的数据为样本,基于长记忆性和杠杆效应视角,运用MRS-APGARCH模型经验分析了中国股票市场的波动性。研究发现:沪深股市存在显著的三种波动状态,处于盘整状态的概率最大,平均持续时间最长;收益波动具有明显的时变长记忆性和非对称效应。所用估计方法显著提高了参数估计的精度和模型的拟合优度,所得结论为投资者构建有效的风险防范体系及投资决策提供了参考依据。

     

    Abstract: For the purpose of more comprehensive description of Chinese stock market volatility, using the data of Shanghai composite index and Shenzhen component index from January 12th, 2001 to December 23rd, 2016, the paper analyzed the volatility of Chinese stock markets with the MRS-APGARCH model. The results indicate that the two markets often act with three volatility states and the probability of mild violating is the highest. Volatility of stock returns has time-varying long memory and leverage effect. Compared with other literature, the paper improves the estimation of parameters. Empirical findings are of great importance for construction of risk defense system.

     

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