Volatility persistence, which have been found in many of time series of economic and finance, indicates that the risk is dependent each other.
波动持续性是广泛存在于经济和金融时间序列的一类普遍现象。
参考来源 - 多变量时间序列波动持续性研究The empirical results show that the volatility persistence is relatively lower in bear markets than that in bull markets.
实证结果表明,股市在熊市阶段的波动持久性较低,在牛市波动持久性较高。
参考来源 - 上证指数波动持久性在牛熊市的差异·2,447,543篇论文数据，部分数据来源于NoteExpress
The theory and method of modeling volatility persistence of time series is a powerful tool in analyzing the risk of economic and finance market.
时间序列的波动持续性建模理论和方法是经济金融领域风险分析的一种强有力的工具。
It is found that the SW-TGARCH models can better describe the volatility of the interest rate and provide a much lower level volatility persistence than GARCH models.
与ARCH类模型相比，SW - TGARCH模型能够更好地描述其波动性，并解决了GARCH模型高持续性及状态转移问题。
In particular, it has been demonstrated that the conventional GARCH model can exaggerate volatility persistence compared to the (true) volatility process perceived by the market.
特别是，相对于被市场所发现的真实波动过程来说，传统的GARCH模型夸大了波动的持续性。
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