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Table 1 MSGARCH models

From: Using GAM functions and Markov-Switching models in an evaluation framework to assess countries’ performance in controlling the COVID-19 pandemic

Label

Equation

Author

“sARCH”

\(\sigma ^{2}_{k,t} = \omega _{k} + \alpha _{k}\epsilon ^{2}_{t-1}\)

Engle [39]

“sGARCH”

\(\sigma ^{2}_{k,t} = \omega _{k} + \alpha _{k}\epsilon ^{2}_{t-1} + \beta _{k}\sigma ^{2}_{k,t-1}\)

Bollerslev [40]

“eGARCH”

\(\ln \left (\sigma ^{2}_{k,t}\right) = \omega _{k} + \alpha _{1,k}\left (\left |\eta _{k,t-1}\right | - E\left [\left |\eta _{k,t-1}\right | \right ]\right) + \)

Nelson [41]

 

\(+ \alpha _{2,k}\eta _{k,t-1}+\beta _{k}\ln \left (\sigma ^{2}_{k,t-1}\right)\)

 

“gjrGARCH”

\(\sigma ^{2}_{k,t} = \omega _{k} + \left (\alpha _{1,k}+\alpha _{2,k}I \left \{\epsilon _{t-1}<0\right \} \right)\epsilon ^{2}_{t-1} + \)

GJR [42]

 

\(+\beta _{k}\sigma ^{2}_{k,t-1}\)

 

“tGARCH”

\(\sigma _{k,t} = \omega _{k} + \left (\alpha _{1,k}I \left \{\epsilon _{t-1}\geqq 0\right \} - \alpha _{1,k}I \left \{\epsilon _{t-1}\geqq 0\right \}\right) \epsilon _{t-1}+\)

Zakoian [43]

 

+βkσk,t−1