Generalized ARMA models with martingale difference errors
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Publication:888346
DOI10.1016/j.jeconom.2015.03.040zbMath1337.62284OpenAlexW2013262588MaRDI QIDQ888346
Han Xiao, Rong Chen, Tingguo Zheng
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.2015.03.040
Asymptotic properties of parametric estimators (62F12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20) Martingales with discrete parameter (60G42) Point estimation (62F10)
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Cites Work
- Beta Regression for Modelling Rates and Proportions
- Generalized spectral tests for the martingale difference hypothesis
- A multiple indicators model for volatility using intra-daily data
- Time series analysis: Methods and applications
- Beta autoregressive moving average models
- Absolute regularity and ergodicity of Poisson count processes
- Estimating stochastic volatility models using daily returns and realized volatility simultaneously
- Estimation of autoregressive models with epsilon-skew-normal innovations
- Stationarity of generalized autoregressive moving average models
- Ergodicity of observation-driven time series models and consistency of the maximum likelihood estimator
- Non-Gaussian Ornstein–Uhlenbeck-based Models and Some of Their Uses in Financial Economics
- Time Series Models in Non-Normal Situations: Symmetric Innovations
- Observation-driven models for Poisson counts
- Poisson Autoregression
- Conditional Heteroskedasticity in Asset Returns: A New Approach
- DIAGNOSTIC CHECKING ARMA TIME SERIES MODELS USING SQUARED-RESIDUAL AUTOCORRELATIONS
- Consistent Estimates of Autoregressive Parameters and Extended Sample Autocorrelation Function for Stationary and Nonstationary ARMA Models
- A New Test of the Martingale Difference Hypothesis
- A negative binomial model for time series of counts
- Gaussian Maximum Likelihood Estimation For ARMA Models. I. Time Series
- Markov Chains and Stochastic Stability
- On the use of the deterministic Lyapunov function for the ergodicity of stochastic difference equations
- ARMA MODELLING WITH NON-GAUSSIAN INNOVATIONS
- On a measure of lack of fit in time series models
- Estimating Smooth Monotone Functions
- Monotone B-Spline Smoothing
- Numerical Optimization
- Autoregressive Conditional Density Estimation
- Testing the Martingale Difference Hypothesis
- Generalized Autoregressive Moving Average Models
- Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data
- Econometric Analysis of Realized Volatility and its Use in Estimating Stochastic Volatility Models
- The Distribution of Realized Exchange Rate Volatility
- Interventions in INGARCH processes
- The asymptotic theory of linear time-series models
- Estimating parameters in autoregressive models with asymmetric innovations
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