DETERMINING THE COINTEGRATION RANK IN HETEROSKEDASTIC VAR MODELS OF UNKNOWN ORDER
From MaRDI portal
Publication:4637611
DOI10.1017/S0266466616000335zbMath1441.62228OpenAlexW2523387877MaRDI QIDQ4637611
Giuseppe Cavaliere, Anders Rahbek, Luca De Angelis, A. M. Robert Taylor
Publication date: 25 April 2018
Published in: Econometric Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/s0266466616000335
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20)
Related Items (5)
A unifying theory of tests of rank ⋮ Adaptive information-based methods for determining the co-integration rank in heteroskedastic VAR models ⋮ Pre-selection in cointegration-based pairs trading ⋮ On a Partially Non-Stationary Vector AR Model with Vector GARCH Noises: Estimation and Testing ⋮ DETERMINING THE COINTEGRATION RANK IN HETEROSKEDASTIC VAR MODELS OF UNKNOWN ORDER
Cites Work
- Cointegrating rank selection in models with time-varying variance
- Testing for co-integration in vector autoregressions with non-stationary volatility
- Bootstrapping autoregressions with conditional heteroskedasticity of unknown form
- Cointegration tests with conditional heteroskedasticity.
- Modeling by shortest data description
- Estimating the dimension of a model
- A lag augmentation test for the cointegrating rank of a VAR process
- Model selection in partially nonstationary vector autoregressive processes with reduced rank structure
- Testing cointegration in infinite order vector autoregressive processes
- Structural analysis of vector error correction models with exogenous \(I(1)\) variables
- Tests for cointegration. A Monte Carlo comparison
- Bootstrapping the likelihood ratio cointegration test in error correction models with unknown lag order
- Bootstrap Determination of the Co-Integration Rank in Vector Autoregressive Models
- COINTEGRATION RANK TESTING UNDER CONDITIONAL HETEROSKEDASTICITY
- ORDER DETERMINATION OF MULTIVARIATE AUTOREGRESSIVE TIME SERIES WITH UNIT ROOTS
- Semiparametric cointegrating rank selection
- Likelihood-Based Inference in Cointegrated Vector Autoregressive Models
- TESTS OF RANK
- DETERMINING THE COINTEGRATION RANK IN HETEROSKEDASTIC VAR MODELS OF UNKNOWN ORDER
- SELECTING THE RANK OF THE COINTEGRATION SPACE AND THE FORM OF THE INTERCEPT USING AN INFORMATION CRITERION
- Estimation and Testing for Unit Roots in a Partially Nonstationary Vector Autoregressive Moving Average Model
- Econometric Model Determination
- Bootstrap Determination of the Co-Integration Rank in Heteroskedastic VAR Models
- Bootstrap Algorithms for Testing and Determining the Cointegration Rank in VAR Models
- A Small Sample Correction for the Test of Cointegrating Rank in the Vector Autoregressive Model
- An Asymtotic Theory of Bayesian Inference for Time Series
- THE ASYMPTOTIC DISTRIBUTION OF THE COINTEGRATION RANK ESTIMATOR UNDER THE AKAIKE INFORMATION CRITERION
- Inference on co-integration parameters in heteroskedastic vector autoregressions
- A new look at the statistical model identification
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: DETERMINING THE COINTEGRATION RANK IN HETEROSKEDASTIC VAR MODELS OF UNKNOWN ORDER