Consider the following GARCH(1,1) model for the volatility of asset returns 𝑟 𝑡 : 𝑟 𝑡 = 𝜀 𝑡 𝜀 𝑡 = ℎ 𝑡 𝑢 𝑡 ℎ 𝑡 = 𝜇 + 𝛿 ℎ 𝑡 − 1 + 𝜙 𝜀 𝑡 − 1 2 𝔼 𝑡 − 1 ( 𝑢 𝑡 ) = 0 𝔼 𝑡 − 1 ( 𝑢 𝑡 2 ) = 1 You estimated the following values for the parameters Parameters Estimates MLE 𝜇 0.0112 𝛿 0.932 𝜙 0.0811 and the variance-covariance matrix is 𝑉 ( 𝜃 ̂ ) = [ 0.0012 − 0.012 0.001 − 0.012 0.102 − 0.003 0.001 − 0.003 0.003 ] Assume the last observation in your sample has ℎ 𝑇 = 1.5056 . What is the value of the conditional variance 𝑉 𝑇 − 1 ( 𝑟 𝑇 ) ?