CEA - Certified Economic Analyst Economic Forecasting Techniques Questions and Answers

Question 1

An organization wants to forecast the long-term impact of a novel, disruptive technology on a specific industry.
Since the technology is new, no historical data is available.
Which forecasting technique would be most appropriate in this situation?

Accepted Answer

The Delphi Method

Answer

Holt-Winters Exponential Smoothing

Answer

Box-Jenkins (ARIMA) model

Answer

Multiple Regression Analysis

Question 2

An economic analyst is examining 20 years of quarterly GDP data. They identify a general long-term upward movement in the data, consistent peaks during the fourth quarter of every year, and a multi-year period of slower growth corresponding to a past recession. These three patterns, in the order they are described, best represent which components of a time series?

Accepted Answer

Trend, Seasonal, and Cyclical

Answer

Seasonal, Trend, and Cyclical

Answer

Trend, Cyclical, and Seasonal

Answer

Cyclical, Trend, and Seasonal

Question 3

What is the primary distinction between a causal (econometric) forecasting model and a pure time-series forecasting model?

Accepted Answer

Causal models attempt to explain the functional relationships between variables, while time-series models use a variable's own past values to predict its future.

Answer

Causal models are only suitable for short-term forecasts, whereas time-series models are better for long-term forecasts.

Answer

Time-series models are generally more complex and require more data inputs than causal models.

Answer

Time-series models require the data to be stationary, while causal models can be used with non-stationary data without any transformation.

Question 4

An analyst is evaluating two forecasting models for a company's monthly sales. Model A has a Mean Absolute Error (MAE) of $5,000 and a Mean Squared Error (MSE) of 40,000,000. Model B has an MAE of $5,500 and an MSE of 33,000,000. Which of the following is the most reasonable interpretation of these results?

Accepted Answer

The higher MSE for Model A relative to its MAE suggests it is prone to producing occasional, very large forecast errors.

Answer

Model A is definitively superior because its MAE is lower.

Answer

Both models are equally unreliable, and the choice between them is arbitrary.

Answer

The MAE is always a more reliable metric than the MSE, so Model A should be chosen.

Question 5

In the context of the Box-Jenkins (ARIMA) methodology, the autoregressive (AR) component specifies that the current value of the time series is a linear function of which of the following?

Accepted Answer

Previous values of the time series itself.

Answer

A set of independent explanatory variables.

Answer

Past values of the forecast errors.

Answer

The differenced values of the series used to achieve stationarity.

Question 6

An economic analyst is tasked with forecasting a turning point in the business cycle, specifically the beginning of a recovery after a recession. Which of the following economic indicators would be most useful for this purpose?

Accepted Answer

New orders for consumer goods and materials

Answer

Average duration of unemployment

Answer

Industrial Production Index

Answer

Change in the Consumer Price Index (CPI)

An organization wants to forecast the long-term impact of a novel, disruptive technology on a specific industry.Since the technology is new, no historical data is available.Which forecasting technique would be most appropriate in this situation?

An organization wants to forecast the long-term impact of a novel, disruptive technology on a specific industry.
Since the technology is new, no historical data is available.
Which forecasting technique would be most appropriate in this situation?