Forecasting realised volatility using regime-switching models
| Year of publication: |
2025
|
|---|---|
| Authors: | Ding, Yi ; Kambouroudis, Dimos ; McMillan, David G. |
| Published in: |
International review of economics & finance : IREF. - Amsterdam [u.a.] : Elsevier Science, ISSN 1059-0560, ZDB-ID 2026509-8. - Vol. 101.2025, Art.-No. 104171, p. 1-19
|
| Subject: | Expected shortfall | Non-linearity | Realised volatility | Regime switching | Value at risk | Volatilität | Volatility | Risikomaß | Risk measure | Prognoseverfahren | Forecasting model | Markov-Kette | Markov chain | Theorie | Theory | ARCH-Modell | ARCH model | Kapitaleinkommen | Capital income |
-
Bayesian quantile forecasting via the realized hysteretic GARCH model
Chen, Cathy W. S., (2022)
-
Trucíos, Carlos, (2021)
-
Improving quantile forecasts via realized double hysteretic GARCH model in stock markets
Chen, Cathy W. S., (2024)
- More ...
-
Forecasting realised volatility : does the LASSO approach outperform HAR?
Ding, Yi, (2021)
-
Forecasting Realised Volatility : Does the LASSO approach outperform HAR?
Ding, Yi, (2021)
-
Forecasting Realised Volatility Using Regime-Switching Models
Ding, Yi, (2023)
- More ...