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A dynamic leverage stochastic volatility model

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Stock returns are considered as a convolution of two random processes that are the return innovation and the volatility innovation. The correlation of these two processes tends to be negative which is the so-called leverage effect. In this study, we propose a dynamic leverage stochastic volatility (DLSV) model where the correlation structure between the return innovation and the volatility innovation is assumed to follow a generalized autoregressive score (GAS) process. We founnd that the leverage effect is reinforced in the market downturn period and weakened in the market upturn period.

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  • Nguyen, Hoang & Nguyen, Trong-Nghia & Tran, Minh-Ngoc, 2021. "A dynamic leverage stochastic volatility model," Working Papers 2021:14, Örebro University, School of Business.
    • Handle: RePEc:hhs:oruesi:2021_014
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    Cited by:

    1. Marín Díazaraque, Juan Miguel & Lopes Moreira Da Veiga, María Helena, 2023. "Data cloning for a threshold asymmetric stochastic volatility model," DES - Working Papers. Statistics and Econometrics. WS 36569, Universidad Carlos III de Madrid. Departamento de Estadística.

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    More about this item

    Keywords

    Dynamic leverage; GAS; stochastic volatility (SV);
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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