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Table 2 GARCH models and their performance on the log returns of daily stock price of Total Nigeria Plc

From: On the volatility of daily stock returns of Total Nigeria Plc: evidence from GARCH models, value-at-risk and backtesting

Model

Information criteria

Normal innovation

Student t innovation

sGARCH (1,1)

Akaike

− 4.7049

N.A

Bayes

−4.7002

Shibata

− 4.7049

Hannan-Quinn

−4.7032

gjrGARCH(1,1)

Akaike

−4.7103

N.A

Bayes

−4.7040

Shibata

−4.7103

Hannan-Quinn

−4.7081

eGARCH(1,1)

Akaike

− 4.7221

−5.6080

Bayes

− 4.7158

−5.6002

Shibata

−4.7221

− 5.6080

Hannan-Quinn

−4.7199

−5.6052

iGARCH(1,1)

Akaike

−4.6949

−6.1100

Bayes

−4.6918

−6.1053

Shibata

−4.6949

− 6.1100

Hannan-Quinn

−4.6938

− 6.1084

apARCH(1,1)

Akaike

− 4.7111

−9.3760

Bayes

−4.7033

−9.3666

Shibata

−4.7111

−9.3760

Hannan-Quinn

−4.7083

−9.3727

TGARCH(1,1)

Akaike

− 2.0986

−7.6480

Bayes

− 2.0923

−7.6402

Shibata

−2.0986

−7.6480

Hannan-Quinn

−2.0964

−7.6452

NGARCH (1,1)

Akaike

− 4.7057

−22.057

Bayes

− 4.6994

−22.049

Shibata

− 4.7057

−22.057

Hannan-Quinn

−4.7034

−22.054

NAGARCH (1,1)

Akaike

−4.7068

−6.0847

Bayes

−4.7006

−6.0768

Shibata

−4.7068

−6.0847

Hannan-Quinn

−4.7046

−6.0819

AVGARCH(1,1)

Akaike

−4.7068

−7.3255

Bayes

−4.6990

−7.3160

Shibata

−4.7068

−7.3255

Hannan-Quinn

−4.7040

−7.3221