Empirical likelihood inference for threshold autoregressive conditional heteroscedasticity model
Abstract This paper considers the parameter estimation problem of a first-order threshold autoregressive conditional heteroscedasticity model by using the empirical likelihood method. We obtain the empirical likelihood ratio statistic based on the estimating equation of the least squares estimation...
Main Authors: | Cuixin Peng, Zhiwen Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-03-01
|
Series: | Journal of Inequalities and Applications |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13660-021-02581-3 |
Similar Items
-
Changes in the Unconditional Variance and Autoregressive Conditional Heteroscedasticity
by: Amado Peiró
Published: (2016-09-01) -
The Glosten-Jagannathan-Runkle-Generalized Autoregressive Conditional Heteroscedastic Approach to Investigating the Foreign Exchange Forward Premium Volatility
by: Nessrine Hamzaoui, et al.
Published: (2016-09-01) -
Threshold Estimation in Threshold Autoregression
by: V. B. Goryainov
Published: (2017-11-01) -
Exchange Rate Volatility and Central Bank Actions in Egypt: Generalized Autoregressive Conditional Heteroscedasticity Analysis
by: Marwa A. Elsherif
Published: (2016-05-01) -
Restricted Empirical Likelihood Estimation for Time Series Autoregressive Models
by: Mahdieh Bayati, et al.
Published: (2021-02-01)