Improvement of Vector Autoregression (VAR) estimation using Combine White Noise (CWN) technique
Previous studies revealed that Exponential Generalized Autoregressive Conditional Heteroscedastic (EGARCH) outperformed Vector Autoregression (VAR) when data exhibit heteroscedasticity. However, EGARCH estimation is not efficient when the data have leverage effect. Therefore, in this study the weakn...
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| 格式: | Thesis |
| 语言: | eng eng eng |
| 出版: |
2018
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| 主题: | |
| 在线阅读: | https://etd.uum.edu.my/6900/1/DepositPermission_s94907.pdf https://etd.uum.edu.my/6900/2/s94907_01.pdf https://etd.uum.edu.my/6900/3/s94907_02.pdf |
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