Estimates of TGARCH model
| Standard TGARCH | Extended TGARCH | |||
|---|---|---|---|---|
| Parameters/models | Estimates | SE | Estimates | SE |
| ω | 0.0137* | 0.0024 | 0.0987* | 0.0143 |
| α | 0.0910* | 0.0086 | 0.0956* | 0.0154 |
| β | 0.8855* | 0.0063 | 0.7586* | 0.0207 |
| γ | 0.0546* | 0.0125 | 0.0919* | 0.0235 |
| Persistence | 1.0038 | 0.9001 | ||
| Log likelihood | −3,351.34 | −3,276.38 | ||
| AIC | 3.030 | 2.976 | ||
| BIC | 3.045 | 3.033 | ||
| Standard TGARCH | Extended TGARCH | |||
|---|---|---|---|---|
| Parameters/models | Estimates | SE | Estimates | SE |
| 0.0137* | 0.0024 | 0.0987* | 0.0143 | |
| 0.0910* | 0.0086 | 0.0956* | 0.0154 | |
| 0.8855* | 0.0063 | 0.7586* | 0.0207 | |
| 0.0546* | 0.0125 | 0.0919* | 0.0235 | |
| Persistence | 1.0038 | 0.9001 | ||
| Log likelihood | −3,351.34 | −3,276.38 | ||
| AIC | 3.030 | 2.976 | ||
| BIC | 3.045 | 3.033 | ||
Notes: This table shows the estimates of the TGARCH process. The extended TGARCH model incorporates structural breaks. Persistence is measured as α + β + (1/2)γ. AIC and BIC refer to Akaike and Bayesian information criteria. *Coefficient is statistically significant at 1 percent level
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.