Semiparametric Estimation and Application of Realized GARCH Model with Time-Varying Leverage Effect

To describe the stylized features of volatility comprehensively, this paper embeds the time-varying leverage effect of volatility into the Realized Generalized AutoRegressive Conditional Heteroskedasticity (RG) model and proposes a new volatility model with a time-varying leverage effect. The Quasi-...

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Main Authors: Jinguan Lin, Yizhi Mao, Hongxia Hao, Guangying Liu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Mathematics
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Online Access:https://www.mdpi.com/2227-7390/13/9/1506
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author Jinguan Lin
Yizhi Mao
Hongxia Hao
Guangying Liu
author_facet Jinguan Lin
Yizhi Mao
Hongxia Hao
Guangying Liu
author_sort Jinguan Lin
collection DOAJ
description To describe the stylized features of volatility comprehensively, this paper embeds the time-varying leverage effect of volatility into the Realized Generalized AutoRegressive Conditional Heteroskedasticity (RG) model and proposes a new volatility model with a time-varying leverage effect. The Quasi-Maximum Likelihood-Kernel (QML-K) method is proposed to approximate the density function of returns and to estimate the parameters in the new model. Under some mild regularity conditions, the asymptotic properties of the resulting estimators are achieved. Simulation studies demonstrate that the proposed model yields better performances than traditional RG models under different situations. Finally, the empirical analysis shows better finite sample performance of the estimation method and the new model on real data compared with existing methods.
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spelling doaj-art-a1aead7efcf3490598577315b9b82c192025-08-20T02:58:47ZengMDPI AGMathematics2227-73902025-05-01139150610.3390/math13091506Semiparametric Estimation and Application of Realized GARCH Model with Time-Varying Leverage EffectJinguan Lin0Yizhi Mao1Hongxia Hao2Guangying Liu3School of Statistics and Data Science, Nanjing Audit University, No. 86 Yushan Western Road, Nanjing 211815, ChinaSchool of Statistics and Data Science, Nanjing Audit University, No. 86 Yushan Western Road, Nanjing 211815, ChinaSchool of Statistics and Data Science, Nanjing Audit University, No. 86 Yushan Western Road, Nanjing 211815, ChinaSchool of Statistics and Data Science, Nanjing Audit University, No. 86 Yushan Western Road, Nanjing 211815, ChinaTo describe the stylized features of volatility comprehensively, this paper embeds the time-varying leverage effect of volatility into the Realized Generalized AutoRegressive Conditional Heteroskedasticity (RG) model and proposes a new volatility model with a time-varying leverage effect. The Quasi-Maximum Likelihood-Kernel (QML-K) method is proposed to approximate the density function of returns and to estimate the parameters in the new model. Under some mild regularity conditions, the asymptotic properties of the resulting estimators are achieved. Simulation studies demonstrate that the proposed model yields better performances than traditional RG models under different situations. Finally, the empirical analysis shows better finite sample performance of the estimation method and the new model on real data compared with existing methods.https://www.mdpi.com/2227-7390/13/9/1506volatility modeltime-varying leverage effectrealized GARCH modelsemiparametric estimation
spellingShingle Jinguan Lin
Yizhi Mao
Hongxia Hao
Guangying Liu
Semiparametric Estimation and Application of Realized GARCH Model with Time-Varying Leverage Effect
Mathematics
volatility model
time-varying leverage effect
realized GARCH model
semiparametric estimation
title Semiparametric Estimation and Application of Realized GARCH Model with Time-Varying Leverage Effect
title_full Semiparametric Estimation and Application of Realized GARCH Model with Time-Varying Leverage Effect
title_fullStr Semiparametric Estimation and Application of Realized GARCH Model with Time-Varying Leverage Effect
title_full_unstemmed Semiparametric Estimation and Application of Realized GARCH Model with Time-Varying Leverage Effect
title_short Semiparametric Estimation and Application of Realized GARCH Model with Time-Varying Leverage Effect
title_sort semiparametric estimation and application of realized garch model with time varying leverage effect
topic volatility model
time-varying leverage effect
realized GARCH model
semiparametric estimation
url https://www.mdpi.com/2227-7390/13/9/1506
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AT yizhimao semiparametricestimationandapplicationofrealizedgarchmodelwithtimevaryingleverageeffect
AT hongxiahao semiparametricestimationandapplicationofrealizedgarchmodelwithtimevaryingleverageeffect
AT guangyingliu semiparametricestimationandapplicationofrealizedgarchmodelwithtimevaryingleverageeffect