Threshold models in time series analysis -- some reflections
DOI10.1016/J.JECONOM.2015.03.039zbMath1337.62281OpenAlexW2030902255MaRDI QIDQ888344
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.2015.03.039
asymmetryhysteresissplineshidden Markov chainstochastic volatilitybusiness cyclevolatilitymixture of distributionscatastropheMarkov switching modelstructural breaksGARCH modelthreshold autoregressive modelsnon-stationarityopen-loop systemthreshold principlemis-specified modeljump resonanceBayesian decisionall-step-ahead predictionconditionally heteroscedastic autoregressive models with thresholdsnon-likelihood approachnonlinear unit rootpanel threshold modelpositive-valued time seriessmooth threshold autoregressive modelsthreshold moving average modelsthreshold unit rootwrong model
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Research exposition (monographs, survey articles) pertaining to game theory, economics, and finance (91-02) Research exposition (monographs, survey articles) pertaining to statistics (62-02)
Related Items (11)
Cites Work
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- On moving-average models with feedback
- A nonlinear panel data model of cross-sectional dependence
- Threshold models in non-linear time series analysis
- Feature matching in time series modeling
- Threshold models in time series analysis -- 30 years on
- A review of threshold time series models in finance
- Approximating data
- A procedure for the modeling of non-stationary time series
- The analysis of some discontinuous decision processes
- A note on the equivalence of two approaches for specifying a Markov process
- Nonparametric estimation in null recurrent time series.
- Nonlinear time series. Nonparametric and parametric methods
- Structural breaks in time series
- Maximum likelihood estimation of a generalized threshold stochastic regression model
- Testing for Common Structures in a Panel of Threshold Models
- A generalized threshold mixed model for analyzing nonnormal nonlinear time series, with application to plague in Kazakhstan
- A multiple-threshold AR(1) model
- ON ESTIMATING THRESHOLDS IN AUTOREGRESSIVE MODELS
- ON THE EXISTENCE OF THE STATIONARY AND ERGODIC NEAR(p) MODEL
- A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
- Modeling Flat Stretches, Bursts, and Outliers in Time Series Using Mixture Transition Distribution Models
- Testing and Modeling Multivariate Threshold Models
- Testing and Modeling Threshold Autoregressive Processes
- Non‐Parametric Change‐Point Tests for Long‐Range Dependent Data
- On a Mixture Autoregressive Model
- Modelling Nonlinear Economic Time Series
- On conditionally heteroscedastic AR models with thresholds
- Hidden Markov Models for Time Series
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