Improving the asymmetric stochastic volatility model with ex-post volatility : the identification of the asymmetry
Year of publication: |
2023
|
---|---|
Authors: | Zhang, Zehua ; Zhao, Ran |
Published in: |
Quantitative finance. - London : Taylor & Francis, ISSN 1469-7696, ZDB-ID 2027557-2. - Vol. 23.2023, 1, p. 35-51
|
Subject: | Asymmetric stochastic volatility | Bayesian MCMC | Density forecasting | Leverage effect | Realized volatility measures | Time-varying asymmetry | Volatilität | Volatility | Stochastischer Prozess | Stochastic process | ARCH-Modell | ARCH model | Prognoseverfahren | Forecasting model | Kapitaleinkommen | Capital income | Theorie | Theory | Schätzung | Estimation | Bayes-Statistik | Bayesian inference | Monte-Carlo-Simulation | Monte Carlo simulation | Statistische Verteilung | Statistical distribution | Markov-Kette | Markov chain |
-
Conditional value-at-risk forecasts of an optimal foreign currency portfolio
Kim, Dongwhan, (2021)
-
The contribution of intraday jumps to forecasting the density of returns
Chorro, Christophe, (2020)
-
Chen, Liyuan, (2019)
- More ...
-
Is Overnight Volatility Overlooked?
Zhang, Zehua, (2020)
-
Improving the Asymmetric Stochastic Volatility Model with Ex-post Volatility
Zhang, Zehua, (2020)
-
Good Volatility, Bad Volatility, and the Cross Section of Cryptocurrency Returns
Zhang, Zehua, (2021)
- More ...