Coefficients

GARCH

(1, 1)

(1, 2)

(1, 3)

(1, 4)

(2, 1)

$\mu$

0.0014**

0.0034*

0.0033*

0.0013**

0.0013**

(0.0006)

(0.0003)

(0.0003)

(0.0006)

(0.0005)

${\varphi }_1$

0.0862***

0.0629**

0.0657***

0.0987***

0.1096**

(0.0469)

(0.0312)

(0.0363)

(0.0523)

(0.0461)

${\varphi }_2$

−0.0384

−0.0435**

−0.0197

−0.0322

−0.0389

(0.0323)

(0.0215)

(0.0213)

(0.0422)

(0.0366)

$\eta$

1.25E−05

6.11E−05*

3.49E−05*

5.38E−06*

1.29E−05**

(7.73E−06)

(2.58E−06)

(2.88E−06)

(1.86E−06)

(5.91E−06)

${\alpha }_1$

0.3465*

0.3195*

0.3365*

0.2770*

0.1839**

(0.1104)

(0.0490)

(0.0332)

(0.0911)

(0.0850)

${\alpha }_2$

0.4115

(0.3785)

${\beta }_1$

0.6684*

0.7351*

0.9718*

1.4214*

0.5159*

(0.0789)

(0.1755)

(0.1252)

(0.0963)

(0.1580)

${\beta }_2$

−0.2042***

−0.4266*

−1.1294*

(0.1121)

(0.0965)

(0.1612)

${\beta }_3$

0.0768*

0.5980*

(0.0199)

(0.1286)

${\beta }_4$

−0.1167**

(0.0496)

Q1 (5)

33.554*

31.074*

32.508*

36.777*

32.264*

Q1 (10)

39.896*

37.997*

38.392*

44.698*

40.258*

Q2 (5)

0.1161

0.1643

0.0911

0.1289

0.2274

Q2 (10)

0.3068

1.1046

0.1850

0.4465

0.5983

Log Likelihood

8700.438

8530.647

8600.336

8740.959

8746.996

F Stat.

0.0512

6.42E−05

0.0252

0.0528

0.0132

Prob.

0.8208

0.9936

0.8739

0.8093

0.9084