Modeling the error term of regression by combine white noise
This paper examines the utilization of combination model technique to model the standardized residual exponential generalized autoregressive conditional heteroscedastic (EGARCH) errors.The technique combine white noise (CWN) is found to be more efficient and overcome EGARCH weaknesses. The estimatio...
Main Authors: | Agboluaje, Ayodele Abraham, Ismail, Suzilah, Yin, Chee Yip |
---|---|
Format: | Article |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | https://repo.uum.edu.my/id/eprint/21534/1/IJARSE%205%2012%202016%2070%2063.pdf |
Similar Items
-
Validation of combine white noise using simulated data
by: Agboluaje, Ayodele Abraham, et al.
Published: (2016) -
Evaluating combine white noise with US and UK GDP quarterly data
by: Agboluaje, Ayodele Abraham, et al.
Published: (2016) -
Comparing vector autoregressive (VAR) estimation with combine white noise (CWN) estimation
by: Agboluaje, Ayodele Abraham, et al.
Published: (2016) -
Modelling the asymmetric volatility with combine white noise across Australia and United Kingdom GDP data set
by: Agboluaje, Ayodele Abraham, et al.
Published: (2016) -
Modelling the Error Term of Australia Gross Domestic
Product
by: Agboluaje, Ayodele Abraham, et al.
Published: (2016)