Asymptotic inference in multiple-threshold double autoregressive models
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Publication:888334
DOI10.1016/j.jeconom.2015.03.033zbMath1337.62272OpenAlexW2157921929MaRDI QIDQ888334
Dong Li, Shiqing Ling, Jean-Michel Zakoian
Publication date: 30 October 2015
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jeconom.2015.03.033
ergodicityscore testcompound Poisson processstrict stationarityquasi-maximum likelihood estimationMTDAR model
Asymptotic properties of parametric estimators (62F12) Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)
Related Items (11)
Frontiers in time series and financial econometrics: an overview ⋮ On a vector double autoregressive model ⋮ Self‐Weighted Lad‐Based Inference for Heavy‐Tailed Continuous Threshold Autoregressive Models ⋮ The Marginal Density of a TMA(1) Process ⋮ Maximum likelihood estimation for \(\alpha\)-stable double autoregressive models ⋮ On the three‐step non‐Gaussian quasi‐maximum likelihood estimation of heavy‐tailed double autoregressive models ⋮ Strict stationarity testing and GLAD estimation of double autoregressive models ⋮ Generalized threshold latent variable model ⋮ Quasi-likelihood estimation of structure-changed threshold double autoregressive models ⋮ Double AR model without intercept: An alternative to modeling nonstationarity and heteroscedasticity ⋮ Sample path properties of an explosive double autoregressive model
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