Forecasting volatility with time-varying coefficient regressions
From MaRDI portal
Publication:2187983
DOI10.1155/2020/3151473zbMath1459.91118OpenAlexW3022934732MaRDI QIDQ2187983
Miman You, Shan Wu, Qifeng Zhu
Publication date: 3 June 2020
Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2020/3151473
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Neglecting parameter changes in GARCH models
- Time-varying leverage effects
- Threshold bipower variation and the impact of jumps on volatility forecasting
- Volatility forecast comparison using imperfect volatility proxies
- Asset pricing for general processes
- Bayesian forecasting and dynamic models
- Autoregressive conditional heteroskedasticity and changes in regime
- Generalized autoregressive conditional heteroscedasticity
- Conditional Heteroskedasticity in Asset Returns: A New Approach
- The Effects of Structural Breaks in ARCH and GARCH Parameters on Persistence of GARCH Models
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- Volatility forecasting of strategically linked commodity ETFs: gold-silver
- What good is a volatility model?
This page was built for publication: Forecasting volatility with time-varying coefficient regressions