Table V

Estimates of TGARCH model

Standard TGARCHExtended TGARCH
Parameters/modelsEstimatesSEEstimatesSE
ω0.0137*0.00240.0987*0.0143
α0.0910*0.00860.0956*0.0154
β0.8855*0.00630.7586*0.0207
γ0.0546*0.01250.0919*0.0235
Persistence1.0038 0.9001 
Log likelihood−3,351.34 −3,276.38 
AIC3.030 2.976 
BIC3.045 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

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