Multivariate rotated ARCH models
From MaRDI portal
Publication:2512636
DOI10.1016/j.jeconom.2013.10.003zbMath1293.62198OpenAlexW3121915407MaRDI QIDQ2512636
Neil Shephard, Kevin Sheppard, Diaa Noureldin
Publication date: 7 August 2014
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: http://nrs.harvard.edu/urn-3:HUL.InstRepos:34650305
Estimation in multivariate analysis (62H12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Statistical methods; risk measures (91G70)
Related Items (14)
Multivariate hyper-rotated GARCH-BEKK ⋮ Estimation and empirical performance of non-scalar dynamic conditional correlation models ⋮ Bayesian inference of multivariate rotated GARCH models with skew returns ⋮ Efficient two-step estimation via targeting ⋮ On variable ordination of modified Cholesky decomposition for estimating time‐varying covariance matrices ⋮ Dynamic conditional eigenvalue GARCH ⋮ Testing for nonlinearity in conditional covariances ⋮ Singular Conditional Autoregressive Wishart Model for Realized Covariance Matrices ⋮ A SIMPLE ITERATIVE Z-ESTIMATOR FOR SEMIPARAMETRIC MODELS ⋮ Asymptotics of Cholesky GARCH models and time-varying conditional betas ⋮ On loss functions and ranking forecasting performances of multivariate volatility models ⋮ Dynamic principal component CAW models for high-dimensional realized covariance matrices ⋮ Improving forecasts with the co-range dynamic conditional correlation model ⋮ ESTIMATION OF TIME-VARYING COVARIANCE MATRICES FOR LARGE DATASETS
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
- A component model for dynamic correlations
- A well-conditioned estimator for large-dimensional covariance matrices
- High-dimensional covariance matrix estimation in approximate factor models
- Method of moments estimation of GO-GARCH models
- On asymptotic theory for multivariate GARCH models
- A generalized dynamic conditional correlation model for portfolio risk evaluation
- Asymptotic theory for multivariate GARCH processes.
- A Generalized Dynamic Conditional Correlation Model: Simulation and Application to Many Assets
- Modelling Multivariate Volatilities via Conditionally Uncorrelated Components
- Multivariate GARCH Models
- A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix
- Tests of Conditional Predictive Ability
- Inference When a Nuisance Parameter Is Not Identified Under the Null Hypothesis
- Maximization by Parts in Likelihood Inference
This page was built for publication: Multivariate rotated ARCH models