GAP Financial Modeling & Forecasting 2

Question 1

In a GAP financial model, which input variable most directly drives the projected GAP claim frequency?

Accepted Answer

Loan-to-value ratio at origination

Answer

Higher LTV ratios at origination mean vehicles are more likely to be underwater when a total loss occurs, directly increasing expected GAP claim frequency.

Question 2

A financial modeler is stress-testing a GAP portfolio under a scenario where used-car prices drop 25%. Which output metric is most critical to monitor?

Accepted Answer

Average GAP benefit payout per claim

Answer

A sharp decline in used-car values widens the gap between outstanding loan balances and actual cash values, increasing the average benefit payout per claim.

Question 3

When forecasting GAP loss ratios, which technique accounts for the non-linear relationship between vehicle age and claim severity?

Accepted Answer

Polynomial regression or spline fitting

Answer

Vehicle depreciation curves are non-linear, so polynomial regression or spline fitting better captures the relationship between vehicle age and GAP claim severity.

Question 4

A GAP administrator uses a 36-month rolling average to forecast future claims. What is a key limitation of this approach during a period of rapidly rising auto loan balances?

Accepted Answer

It lags current market conditions and understates emerging severity

Answer

Rolling averages lag current conditions, so during rapidly rising loan balances the model will understate future GAP severity until recent data is incorporated.

Question 5

Which financial metric best measures the adequacy of GAP loss reserves relative to earned premium?

Accepted Answer

Loss ratio

Answer

The loss ratio (incurred losses divided by earned premium) directly measures whether premium collected is sufficient to cover GAP claims.

(GAP) Guaranteed Asset Protection Certified Practice Test

(GAP) Guaranteed Asset Protection Certified Practice Test

GAP Financial Modeling & Forecasting 2