Câu hỏi: 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
Câu 1: 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 2: 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 3: 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
30/08/2021 7 Lượt xem
Câu 4: 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 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: 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

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