Setting the margins of hang seng index futures on different positions using an APARCH-GPD model based on extreme value theory
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Publication:2137703
DOI10.1016/j.physa.2019.123207OpenAlexW2981346879MaRDI QIDQ2137703
Publication date: 16 May 2022
Published in: Physica A (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.physa.2019.123207
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Cites Work
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- A hybrid stock trading system using genetic network programming and mean conditional value-at-risk
- Bayesian estimation of the Gaussian mixture GARCH model
- Time-varying quantile association regression model with applications to financial contagion and VaR
- Forecasting VaR and ES of stock index portfolio: a vine copula method
- Generalized autoregressive conditional heteroscedasticity
- Bayesian estimation of generalized hyperbolic skewed student GARCH models
- The use of GARCH models in VaR estimation
- Estimation of tail-related value-at-risk measures: range-based extreme value approach
- A Student t-mixture autoregressive model with applications to heavy-tailed financial data
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation