Câu hỏi: If the residuals of a model containing lags of the dependent variable are autocorrelated, which one of the following could this lead to?
A. Biased but consistent coefficient estimates
B. Biased and inconsistent coefficient estimates
C. Unbiased but inconsistent coefficient estimates
D. Unbiased and consistent but inefficient coefficient estimates
Câu 1: 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 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: 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 4: Consider the following picture and suggest the model from the following list that best characterises the process:
A. An AR(1)
B. An AR(2)
C. An ARMA(1,1)
D. An MA(3)
30/08/2021 7 Lượt xem
Câu 5: 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 8 Lượt xem
Câu 6: 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

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