Economics · Econometrics - Time Series Processes
Based on the condition that {εt} is a purely random process with mean zero and variance σ2, consider the statements below: A. A process {xt} defined by xt = α_1xt−1 + α_2xt−2 + ... + α_rxt−r + εt is called an autoregressive process of order r [AR(r)]. B. A process {xt} defined by xt = β_0εt + β_1εt−1 + ... + β_mεt−m is called a moving average process of order m [MA(m)]. C. A process {xt} defined by xt = β_0εt + β_1εt−1 + ... + β_mεt−m is called an autoregressive process of order r. D. A process {xt} defined by xt = α_1xt−1 + α_2xt−2 + ... + α_rxt−r + εt is called a moving average process of order m. Choose the correct answer from the options given below:
- 1C and D only
- 2B and D only
- 3A and D only
- 4A and B only✓
Correct answer
A and B only
Download Single Question PDF
Save this question and verified answer as a clean study sheet with live clickable link.
Share with Friends & Study Groups
Challenge your peer aspirants on WhatsApp or Telegram to solve this question!
Preparing for Economics?
Practice full-length mock tests with real exam timers, instant score analysis, and all-India ranking.
Want more practice questions on Econometrics - Time Series Processes?
Solve complete topic-wise tests with detailed solutions on GkGet.
Related Practice Questions
Recommended practice questions in Economics · Econometrics - Time Series Processes