Câu hỏi: If the number of non-zero eigenvalues of the pi matrix under a Johansen test is 2, this implies that
A. There are 2 linearly independent cointegrating vectors
B. There are at most 2 linearly independent cointegrating vectors
C. There are 3 variables in the system
D. There are at least 2 linearly independent cointegrating vectors
Câu 1: 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 2: 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 3: Consider a series that follows an MA(1) with zero mean and a moving average coefficient of 0.4. What is the value of the autocorrelation function at lag 1?
A. 0.4
B. 0.34
C. 1
D. It is not possible to determine the value of the autocovariances without knowing the disturbance variance
30/08/2021 9 Lượt xem
Câu 4: Which criticism of Dickey-Fuller (DF) -type tests is addressed by stationarity tests, such as the KPSS test?
A. DF tests have low power to reject the null hypothesis of a unit root, particularly in small samples
B. DF tests are always over-sized
C. DF tests do not allow the researcher to test hypotheses about the cointegrating vector
D. DF tests can only find at most one cointegrating relationship
30/08/2021 10 Lượt xem
Câu 5: 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 6: 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

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