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Q3B. Assess whether the following AR(1) process satisfies the criteria for covariance stationarity, taking into consideration all three conditions that define a covariance stationary process. Assume that u~i.i.d(0,02), where a 1. Provide the working steps and underlying assumptions used to prove if each property holds. y = 2+0.3yt-1+ut

Q3B. Assess whether the following AR(1) process satisfies the criteria for covariance stationarity, taking into consideration all three conditions that define a covariance stationary process. Assume that u~i.i.d(0,02), where a 1. Provide the working steps and underlying assumptions used to prove if each property holds. y = 2+0.3yt-1+ut

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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can you do only 3b

Q3A. Assuming that Assumption 4 (Zero Conditional and Unconditional Mean) holds, what is the value of corr(x, e)? Provide the working steps and underlying assumptions used to arrive at your answer. Q3B. Assess whether the following AR (1) process satisfies the criteria for covariance stationarity, taking into consideration all three conditions that define a covariance stationary process. Assume that u~i.i.d(0, o), where a = 1. Provide the working steps and underlying assumptions used to prove if each property holds. Yt = 2 + 0.3yt-1+U₂
Transcribed Image Text:Q3A. Assuming that Assumption 4 (Zero Conditional and Unconditional Mean) holds, what is the value of corr(x, e)? Provide the working steps and underlying assumptions used to arrive at your answer. Q3B. Assess whether the following AR (1) process satisfies the criteria for covariance stationarity, taking into consideration all three conditions that define a covariance stationary process. Assume that u~i.i.d(0, o), where a = 1. Provide the working steps and underlying assumptions used to prove if each property holds. Yt = 2 + 0.3yt-1+U₂
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