TS module 12 AR(2) process and method of moments (practice problem)


TS module 12 AR(2) process and method of moments (practice problem)

Author
Message
NEAS
Supreme Being
Supreme Being (5.9K reputation)Supreme Being (5.9K reputation)Supreme Being (5.9K reputation)Supreme Being (5.9K reputation)Supreme Being (5.9K reputation)Supreme Being (5.9K reputation)Supreme Being (5.9K reputation)Supreme Being (5.9K reputation)Supreme Being (5.9K reputation)

Group: Administrators
Posts: 4.3K, Visits: 1.3K

TS module 12 AR(2) process and method of moments (practice problem)

 

(The attached PDF file has better formatting.)

 

*Exercise 12.1: AR(2) process and method of moments

 

The first two sample autocorrelations of an AR(2) process are r1 = 0.5 and r2 = 0.4

 


A.    What is the method of moments (Yule-Walker) estimate for ö1?

B.    What is the method of moments (Yule-Walker) estimate for ö2?

 

Solution 12.1: See Cryer and Chan, top of page 150, equation 7.1.2:

 

 

Part A: The estimated ö1 is ( 0.5 × (1 – 0.4) ) / (1 – 0.52) = 0.4

 

Part B: The estimated ö2 is ( 0.4 – 0.52) ) / (1 – 0.52) = 0.2

 

Final exam problems may give ö1 and ö2 to derive ñ1 and ñ2; they may also give ó2ε and derive ã0, ã1, and ã2; they may give r1 and r2 and derive ö1 and ö2; they may also give Var(Y) (ã0) and derive ó2ε. The formulas are the same; compare them as you review the modules.

 

 


 

** Exercise 12.2: AR(2) process and method of moments practice problem

 

An AR(2) process with 100 observations has the following observed values:

 

r1 = 0.8, r2 = 0.5, = 2, and variance(Y) = 5.

 


 

A.    What is the simple method of moments estimate of ö1 used by Cryer and Chan?

B.    What is the simple method of moments estimate of ö2 used by Cryer and Chan?

C.    What is the estimate of è0?

D.    What is the estimate of ó2å?

 

Solution 12.2: See Cryer and Chan, top of page 150, equation 7.1.2:

 

 

Part A: The estimated ö1 is ( 0.8 × (1 – 0.5) ) / (1 – 0.82) = 1.111

 

Part B: The estimated ö2 is ( 0.5 – 0.82) ) / (1 – 0.82) = -0.389

 

Part C: The estimated mean of the time series is 2. The mean = è0 / (1 – ö1ö2), so

 

è0 = ì × (1 – ö1ö2) = 2 × (1 – 1.111 – -0.389) = 0.556.

 

Part D: The estimate of ó2ε is (1 – 1.111 × 0.8 – (-0.389) × 0.5) × 5 = 1.529

 

 


Attachments
sdeppe80
Forum Newbie
Forum Newbie (2 reputation)Forum Newbie (2 reputation)Forum Newbie (2 reputation)Forum Newbie (2 reputation)Forum Newbie (2 reputation)Forum Newbie (2 reputation)Forum Newbie (2 reputation)Forum Newbie (2 reputation)Forum Newbie (2 reputation)

Group: Forum Members
Posts: 2, Visits: 1

Exercise 12.2 is completely wrong, correct?  The formulas are correct but the application of the formulas is wrong.  You used r22 in the denominator instead of r12. 

Part A:  φ1 should be (0.8 × (1 0.5)) / (1 0.82) = 1.11 

Part B:  φ2 should be (0.5 0.82) / (1 0.82) = -0.389 

Then Part C would be θ0 = 2 × (1 1.11 (-0.389)) = 0.558

Part D:  σε2 = (1 1.11 × 0.8 (-0.389) × 0.5) × 5 = 1.5325

Also equation 7.1.18 on page 152 that you refer to is actually equation 7.1.8 on page 151.

Thanks!

[NEAS: Thank you; typos corrected]


GO
Merge Selected
Merge into selected topic...



Merge into merge target...



Merge into a specific topic ID...





Reading This Topic


Login
Existing Account
Email Address:


Password:


Social Logins

  • Login with twitter
  • Login with twitter
Select a Forum....











































































































































































































































Neas-Seminars

Search