具有阈值和杠杆效应的三期随机波动模型

Heejoon Han, Eunhee Lee
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引用次数: 0

摘要

本文考虑了一种新的随机波动率模型,其中股票收益的符号和幅度在解释股票收益与波动率之间非常详细的关系方面发挥了作用。所提出的模型考虑到了门槛和杠杆效应,并适应了三种机制(即,大的负回报;中等范围,包括适度的负回报和正回报;和大的正回报),以更好地捕捉杠杆效应的时变方面。对标准普尔500指数和微软公司收益序列的应用表明,股票收益与波动性之间的关系取决于收益的大小及其符号。通过对各种随机波动率模型的偏差信息判据的比较,表明所提出的模型对数据具有较好的拟合性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Triple Regime Stochastic Volatility Model with Threshold and Leverage Effects
This study considers a new stochastic volatility model, in which the sign and magnitude of stock returns play roles in explaining a substantially detailed relationship between stock returns and volatility. The proposed model allows for threshold and leverage effects, and accommodates three regimes (i.e., large negative return; mid-range, including moderate negative and positive returns; and large positive return) to better capture the time-varying aspect of the leverage effect. Applications of the proposed model on the return series of the S&P 500 Index and Microsoft Corporation suggest that the relationship between stock returns and volatility depends on the magnitude of the returns and their signs. The comparison of the deviance information criterion for various stochastic volatility models reveals a good fit of the proposed model for the data.
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