HAR模型与金融市场的长记忆

Yong Tang, Yunguo Chi
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引用次数: 2

摘要

随着非线性科学的发展,人们发现金融市场波动存在长记忆,这与有效市场假说的弱形式不一致。在简要介绍异质市场假说和分形市场假说的基础上,基于H/S分析和GPH方法对上证指数收益波动率的长记忆行为进行了检验。用已实现波动率来衡量真实波动率,并结合ARFIMA-RV和HAR-RV模型的分析,证实了上证指数RV序列的长记忆行为,HAR-RV模型对波动率的预测效果较好。
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HAR Model and Long Memory in Financial Market
With the development of nonlinear science, the existence of long memory in the financial market volatility has been found, which is inconsistent with the weak form of Efficient Market Hypothesis. With the brief introduction of Heterogeneous Market Hypothesis and Fractal Market Hypothesis, the long memory behavior of Shanghai Stock Index's returns volatility is tested, based on H/S analysis and GPH method. By using the realized volatility to measure the true volatility and combining with the analysis of ARFIMA-RV and HAR-RV model, Shanghai Stock Index's RV series' long memory behavior is confirmed, and HAR-RV model behaves better in the prediction of volatility.
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