Structure of a double autoregressive process driven by a hidden Markov chain
From MaRDI portal
Publication:449432
DOI10.1016/j.spl.2012.04.001zbMath1254.60038OpenAlexW2001312458MaRDI QIDQ449432
Publication date: 30 August 2012
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2012.04.001
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Stationary stochastic processes (60G10) Economic time series analysis (91B84) Discrete-time Markov processes on general state spaces (60J05)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Estimating linear representations of nonlinear processes
- Rational-expectations econometric analysis of changes in regime. An investigation of the term structure of interest rates
- Non-negative matrices and Markov chains. 2nd ed
- Autoregressive conditional heteroskedasticity and changes in regime
- Asymptotic behaviour of the sample autocovariance and autocorrelation function of the \(AR(1)\) process with \(\text{ARCH}(1)\) errors
- The tail of the stationary distribution of an autoregressive process with \(\text{ARCH}(1)\) errors
- Covariance matrix estimation for estimators of mixing weak ARMA models
- Stationarity for a Markov-switching Box-Cox transformed threshold GARCH process
- The \(L^2\)-structures of standard and switching-regime GARCH models
- Conditional Heteroskedasticity Driven by Hidden Markov Chains
- Non-linear time series and Markov chains
- Asymptotic inference for a nonstationary double AR(1) model
- RANDOM COEFFICIENT AUTOREGRESSIVE PROCESSES:A MARKOV CHAIN ANALYSIS OF STATIONARITY AND FINITENESS OF MOMENTS
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
- Estimation and Testing Stationarity for Double-Autoregressive Models
- A Family of Markov‐Switching Garch Processes
This page was built for publication: Structure of a double autoregressive process driven by a hidden Markov chain