Câu hỏi: If a Johansen “max” test for a null hypothesis of 1 cointegrating vectors is applied to a system containing 4 variables is conducted, which eigenvalues would be used in the test?
A. The largest 1
B. The Second largest
C. The Second smallest
D. The smallest
Câu 1: If a residual series is negatively autocorrelated, which one of the following is the most likely value of the Durbin Watson statistic?
A. Close to zero
B. Close to two
C. Close to four
D. Close to one
30/08/2021 9 Lượt xem
Câu 2: What is the optimal three-step ahead forecast from the AR(2) model given in question 14?
A. -0.1
B. 0.27
C. -0.34
D. -0.31
30/08/2021 8 Lượt xem
Câu 3: Which one of the following best describes most series of asset prices?
A. An independently and identically distributed (iid, i.e. “completely random”) process
B. A random walk with drift
C. An explosive process
D. A deterministic trend process
30/08/2021 9 Lượt xem
Câu 4: A process, xt, which has a constant mean and variance, and zero autocovariance for all non-zero lags is best described as:
A. A white noise process
B. A covariance stationary process
C. An autocorrelated process
D. A moving average process
30/08/2021 7 Lượt xem
Câu 5: If there are three variables that are being tested for cointegration, what is the maximum number of linearly independent cointegrating relationships that there could be?
A. 0
B. 1
C. 2
D. 3
30/08/2021 7 Lượt xem
Câu 6: If a series, yt, follows a random walk (with no drift), what is the optimal 1-step ahead forecast for y?
A. The current value of y
B. Zero
C. The historical unweighted average of y
D. An exponentially weighted average of previous values of y
30/08/2021 9 Lượt xem
Câu hỏi trong đề: Bộ câu hỏi trắc nghiệm môn Kinh tế lượng - Phần 3
- 45 Lượt thi
- 30 Phút
- 20 Câu hỏi
- Sinh viên
Cùng chủ đề Bộ câu hỏi trắc nghiệm môn Kinh tế lượng có đáp án
- 6.5K
- 722
- 20
-
59 người đang thi
- 652.2K
- 154
- 20
-
82 người đang thi
- 1.2K
- 21
- 20
-
28 người đang thi
- 1.7K
- 126
- 20
-
10 người đang thi
Chia sẻ:
Đăng Nhập để viết bình luận