Can someone please explain why for larger value of alpha-1, the mean reverting process will get back to 1 more quickly?
Adjusted Beta = alpha0 + alpha1*(previous Beta)
Does it not follow that Adjusted Beta will tend to 1 when alpha0 tends to 1 and alpha1 tends to 0?
If you look at Schweser book 3, page 224 it says “adjusted beta forecast will move towards 1 more quickly for larger values of alpha1”
Also in Schweser Practice Exams Vol 1, Exam 2, Question 18 - the answer explanation contends that De Jong is correct for asserting that larger alpha1 means that the beta estimate will move more quickly back to mean reverting level.
Very confused here, thanks.
Adjusted Beta = alpha0 + alpha1*(previous Beta)
Does it not follow that Adjusted Beta will tend to 1 when alpha0 tends to 1 and alpha1 tends to 0?
If you look at Schweser book 3, page 224 it says “adjusted beta forecast will move towards 1 more quickly for larger values of alpha1”
Also in Schweser Practice Exams Vol 1, Exam 2, Question 18 - the answer explanation contends that De Jong is correct for asserting that larger alpha1 means that the beta estimate will move more quickly back to mean reverting level.
Very confused here, thanks.