B.3. One-time Changes Flashcards
Why adjust for one-time changes in ratemaking?
So data is most representative of future policy period being priced.
Types of effects of one-time changes
Direct – direct and obvious impacts to premiums, losses, or expenses, all else being equal
Indirect – due to changes in human behavior
Why direct effects of coverage INCREASES are difficult to quantify
Historical losses may have been capped a the lower level of coverage (or coverage may not have existed)
3 ways to calculate direct effect of coverage change on LOSSES
- Restate individual claims at new coverage levels
- Calculate effect on representative groups of claims
- Simulate losses under new coverage levels
2 methods to on-level premiums
- Extension of exposures : re-rates all historical policies a the policy level using newest rates, then recalculates earned premiums for each period using newest rates
- Parallelogram method
Parallelogram method adv/disadv
A: Quicker to calculate than extension of exposures D: Assumes policies are written evenly over period. Aggregate on-level factors produced may not be appropriate for class level ratemaking
Ways to correct for uneven writings in parallelogram method
- Use shorter time periods
2. Aggregate historical data by rate level
Parallelogram assumption for losses
Losses are uniformly distributed over the period being used
Two ways a benefit change can apply to losses
- To all losses on policies written after a certain date (slanted line)
- To all losses occurring after a certain date (vertical line)