If ๐ ๐ก follows this GARCH(1,1) process, What are the formulas of its conditional and unconditional variances.
The GARCH(1,1) process can be expressed as:
๐ ๐ก = ๐ + ๐๐ก
๐๐ก = ๐๐ก๐ฬ๐ก
๐2๐ก = ๐ค + ๐ผ(๐2๐กโ1 โ ๐2๐กโ1) + ๐ฝ๐2๐กโ1
where ๐ is the mean of the process, ๐๐ก is the error term at time t, ๐๐ก is the conditional standard deviation at time t, ๐ฬ๐ก is a standardized error term, ๐ค is the unconditional variance of the process, ๐ผ and ๐ฝ are the parameters of the GARCH(1,1) model.
The conditional variance at time t is given by:
Var(๐๐ก|๐ญ๐กโ1) = ๐2๐ก
The unconditional variance is given by:
Var(๐๐ก) = ๐ค/(1โ๐ผโ๐ฝ)
where ๐ญ๐กโ1 represents the information set at time t-1.
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