基于ARIMA-TGARCH模型的中国股票指数收益率波动研究
首发时间:2019-04-22
摘要:中国股票市场自开市以来已有三十多年的历史,交易制度和监管措施已经日趋完善,虽然和国外成熟的股票市场比较还是有一定的差距,但我国股票市场的收益率波动一直作为金融研究中的热点题。本文以沪深两市综合指数和板块指数收益率为对象,研究其在过去十年间的波动情况和股票市场中是否存在杠杆效应。方法上选用TGARCH模型分析,能够较好的拟合股票时间序列数据尖峰后尾的特性。实证结果证实了我国沪深两市综合指数收益率存在明显的非对称杠杆效应,板块指数收益率根据不同行业,呈现存在杠杆和不存在杠杆两种现象。
关键词: 数量经济学 TGARCH模型 沪深综合指数收益率 板块指数收益率
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Research on Fluctuation of China Stock Index Yield Based on ARIMA-TGARCH Model
Abstract:China\'s stock market has more than 30 years of history since its opening. Trading systems and regulatory measures have become more and more perfect. Although there is still a certain gap compared with mature foreign stock markets, the fluctuation of yields in China\'s stock market has always been used as a financial Hot topics in the study. Based on the Shanghai and Shenzhen Composite Index and the sector index yield, this paper studies its volatility over the past decade and whether there is leverage in the stock market. The method uses TGARCH model analysis, which can better fit the characteristics of the peak and tail of the stock time series data. The empirical results confirm that there is a significant asymmetric leverage effect on the comprehensive index returns of China\'s Shanghai and Shenzhen stock markets. The sector index returns are based on different industries, showing the exisResearch on Fluctuation of China Stock Index Yield Based on ARIMA-TGARCH Modeltence of leverage and non-leverage.
Keywords: Quantitative economics TGARCH model Shanghai and Shenzhen comprehensive index yield Sector index yield
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基于ARIMA-TGARCH模型的中国股票指数收益率波动研究
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