Multiple Choice
Which of the following statements are true concerning time-series forecasting?
(I) All time-series forecasting methods are essentially extrapolative.
(ii) Forecasting models are prone to perform poorly following a structural break in a series.
(iii) Forecasting accuracy often declines with prediction horizon.
(iv) The mean squared errors of forecasts are usually very highly correlated with the profitability of employing those forecasts in a trading strategy.
A) (i) , (ii) , (iii) , and (iv)
B) (i) , (ii) and (iii) only
C) (ii) , (iii) only
D) (ii) and (iv) only
Correct Answer:

Verified
Correct Answer:
Verified
Q15: The acf is clearly declining very slowly
Q16: If a series, y<sub>t</sub>, follows a random
Q17: A rolling window forecasting framework is one
Q18: The acf is clearly declining very slowly
Q19: Consider the following MA(2) process where the
Q21: What is the appropriate Box-Pierce test statistic?<br>A)
Q22: A recursive forecasting framework is one where<br>A)
Q23: The acf is clearly declining very slowly
Q24: Consider a series that follows an MA(1)
Q25: The acf is clearly declining very slowly