问题如下:
Suppose σt2 is the estimated variance at time t and μt is the realized return at t. Which of the following GARCH(1,1) models will take the longest time to revert to its mean?
选项:
A.σt2=0.04+0.02μt−12+0.92σt−12
B.σt2=0.02+0.04μt−12+0.94σt−12
C.σt2=0.03+0.02μt−12+0.95σt−12
D.σt2=0.03+0.03μt−12+0.93σt−12
解释:
The persistence (α1+β)span> is,respectively,0.94, 0.98, 0.97, and 0.96. Hence the model with the highest persistence will take the longest time to revert to the mean.
为什么GAMMA越小,回归速度越慢