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Modeling dynamic higher moments of crude oil futures

Huang, Zhuo; Liang, Fang; Wang, Tianyi; Li, Chao - In: Finance research letters 39 (2021), pp. 1-5

Persistent link: https://www.econbiz.de/10012805140

Do realized higher moments have information content? : VaR forecasting based on the realized GARCH-RSRK model

Wang, Tianyi; Liang, Fang; Huang, Zhuo; Yan, Hong - In: Economic modelling 109 (2022), pp. 1-13

Persistent link: https://www.econbiz.de/10013348237

Measuring systemic risk with high-frequency data : a realized GARCH approach

Chen, Qihao; Huang, Zhuo; Liang, Fang - In: Finance research letters 54 (2023), pp. 1-9

Persistent link: https://www.econbiz.de/10014472723

Option pricing with overnight and intraday volatility

Liang, Fang; Du, Lingshan; Huang, Zhuo - In: The journal of futures markets 43 (2023) 11, pp. 1576-1614

Persistent link: https://www.econbiz.de/10014432919

Probability Distribution in Volatility and Value-at-Risk Forecasting for Cryptocurrency

Chen, Qihao; Huang, Zhuo; Liang, Fang - 2022

This study investigates the role of probability distribution in forecasting volatility and Value-at-Risk (VaR). We use the Realized GARCH model and high-frequency data from the cryptocurrency market and show that the role of probability distribution varies across different situations. A skewed-t...

Persistent link: https://www.econbiz.de/10014239198