CBA Forecasting & Revenue Estimation 3

Question 1

A 'naive' or 'no-change' forecast assumes that next period's revenue will equal:

Accepted Answer

The most recent period's actual value

Answer

The average of all historical periods

Answer

The trend-adjusted value from regression

Answer

The consensus of expert panels

Question 2

Which technique decomposes a revenue time series into trend, seasonal, cyclical, and irregular components?

Accepted Answer

Classical decomposition

Answer

Exponential smoothing

Answer

Causal modeling

Answer

Stochastic simulation

Question 3

When preparing revenue estimates for a proposed tax policy change, the analyst should use:

Accepted Answer

Dynamic scoring that accounts for behavioral and macroeconomic effects

Answer

Static scoring only, as required by OMB

Answer

The naive forecast adjusted for inflation

Answer

The prior-year actuals multiplied by a growth rate

Question 4

An autocorrelation in forecast residuals indicates that:

Accepted Answer

Unexplained patterns remain in the data that the model has not captured

Answer

The model is statistically significant

Answer

The forecast horizon is too short

Answer

Seasonal adjustment was applied correctly

Question 5

Which of the following best describes 'revenue recognition' principles that affect when estimated revenues are recorded in a budget forecast?

Accepted Answer

Revenues are recognized when earned or received based on applicable accounting standards

Answer

Revenues are recorded when legally authorized regardless of collection

Answer

Revenues are always recognized on a cash basis for forecasting purposes

Answer

Revenues are projected quarterly and converted to annual totals

Question 6

In preparing a budget revenue estimate, an analyst uses a Monte Carlo simulation. The primary benefit of this approach over a single-point estimate is:

Accepted Answer

It generates a probability distribution of outcomes, capturing uncertainty

Answer

It produces a definitive single forecast value

Answer

It eliminates the need for historical data

Answer

It is required by GAAP for governmental forecasting

Question 7

When evaluating competing revenue forecast models, the model with the lowest out-of-sample forecast error should be preferred because:

Accepted Answer

Out-of-sample error measures true predictive performance on unseen data

Answer

In-sample fit always predicts out-of-sample performance

Answer

Regulatory guidance mandates selecting the lowest-error model

Answer

Lower out-of-sample error guarantees an unbiased estimator