On a threshold double autoregressive model
Year of publication: |
January 2016
|
---|---|
Authors: | Li, Dong ; Ling, Shiqing ; Zhang, Rongmao |
Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Alexandria, Va. : American Statistical Association, ISSN 0735-0015, ZDB-ID 876122-X. - Vol. 34.2016, 1, p. 68-80
|
Subject: | Compound Poisson process | Quasi-maximum likelihood estimation | Score test | Threshold ARCH model | Threshold double AR model | Volatility | Schätztheorie | Estimation theory | ARCH-Modell | ARCH model | Maximum-Likelihood-Schätzung | Maximum likelihood estimation | Volatilität | Autokorrelation | Autocorrelation | Stochastischer Prozess | Stochastic process | Zeitreihenanalyse | Time series analysis | Schätzung | Estimation |
-
Overnight GARCH-Itô volatility models
Kim, Donggyu, (2023)
-
Asymptotic inference in multiple-threshold double autoregressive models
Li, Dong, (2015)
-
Estimation of realized asymmetric stochastic volatility models using Kalman filter
Asai, Manabu, (2023)
- More ...
-
Asymptotic inference for ar models with heavy-tailed g-Garch noises
Zhang, Rongmao, (2015)
-
LADE-based inferences for autoregressive models with heavy-tailed G-GARCH(1, 1) noise
Zhang, Xingfa, (2022)
-
Maximum likelihood estimation for α-stable double autoregressive models
Li, Dong, (2023)
- More ...