The GARCH(1,1) process can be expressed as:

๐‘…๐‘ก = ๐œ‡ + ๐œ€๐‘ก

๐œ€๐‘ก = ๐œŽ๐‘ก๐œ€ฬƒ๐‘ก

๐œŽ2๐‘ก = ๐‘ค + ๐›ผ(๐œ€2๐‘กโˆ’1 โˆ’ ๐œŽ2๐‘กโˆ’1) + ๐›ฝ๐œŽ2๐‘กโˆ’1

where ๐œ‡ is the mean of the process, ๐œ€๐‘ก is the error term at time t, ๐œŽ๐‘ก is the conditional standard deviation at time t, ๐œ€ฬƒ๐‘ก is a standardized error term, ๐‘ค is the unconditional variance of the process, ๐›ผ and ๐›ฝ are the parameters of the GARCH(1,1) model.

The conditional variance at time t is given by:

Var(๐œ€๐‘ก|๐‘ญ๐‘กโˆ’1) = ๐œŽ2๐‘ก

The unconditional variance is given by:

Var(๐œ€๐‘ก) = ๐‘ค/(1โˆ’๐›ผโˆ’๐›ฝ)

where ๐‘ญ๐‘กโˆ’1 represents the information set at time t-1.

If ๐‘…๐‘ก follows this GARCH(1,1) process, What are the formulas of its conditional and unconditional variances.

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