Conditional correlation models of autoregressive conditional heteroscedasticity with nonstationary GARCH equations
Year of publication: |
2014
|
---|---|
Authors: | Amado, Cristina ; Teräsvirta, Timo |
Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Alexandria, Va. : American Statistical Association, ISSN 0735-0015, ZDB-ID 876122-X. - Vol. 32.2014, 1, p. 69-87
|
Subject: | Forecasting | Multivariate GARCH model | Nonlinear time series | Portfolio allocation | Time-varying unconditional variance | ARCH-Modell | ARCH model | Zeitreihenanalyse | Time series analysis | Prognoseverfahren | Forecasting model | Portfolio-Management | Portfolio selection | Schätztheorie | Estimation theory | Volatilität | Volatility | Korrelation | Correlation | Schätzung | Estimation | Nichtlineare Regression | Nonlinear regression | Risikomaß | Risk measure | Kapitaleinkommen | Capital income | Varianzanalyse | Analysis of variance | Aktienindex | Stock index |
-
Opschoor, Anne, (2021)
-
Realized quantity extended conditional autoregressive value-at-risk models
Götz, Pit, (2023)
-
Weighted least squares realized covariation estimation
Li, Yifan, (2022)
- More ...
-
Modelling conditional and unconditional heteroskedasticity with smoothly time-varying structure
Amado, Cristina, (2008)
-
Modelling Conditional and Unconditional Heteroskedasticity with Smoothly Time-Varying Structure
Amado, Cristina, (2008)
-
Amado, Cristina, (2014)
- More ...