Development Method + Expected Claims Technique Flashcards
When does Loss Development Technique work well?
- Short Tail Lines (low leverage)
- Credible volume of data and a stable environment
- Deteriorating/Improving claims ratios, Responsive to claims activity
When is Loss Development Technique Distorted?
- Case Reserve Adequacy changes impact reported loss development method
– Strengthening = overstate ultimates
– Weakening = understate ultimates
– Paid loss development method not effected - Settlement Rate changes impact both paid/reported loss development methods
– Speed Up = Overstate ultimates
– Slow down = Understate ultimates - Changes in product mix or claim mix
– Shift to longer tail exposure = understate ultimates
– Shift to shorter tail exposure = overstate ultimates
Most common exposure bases in Expected Claims technique
- Earned Premium
- Payroll
- # of Vehicles
- Sales
- Property Values
Objective of the Expected Claims Technique
Estimate claims for the most recent year
What do historic losses need to be adjusted for?
- Inflation
- Tort Reform
Pros of the Expected Claims Technique
– Stability of estimates (not affected by blips in interim experience)
– Allows actuary to judgmentally anticipate the impact of changes in the environment (where those changes are not yet evident in the data)
Cons of the Expected Claims Technique
– Not responsive to actual claims experience
* Inaccurate when actual claims experience differs from the expected
When is the Expected Claims Technique appropriate to use?
- An insurer enters a new line of business or a new territory
- Operational or environmental changes make recent historical data irrelevant
- Where development methods are too highly leveraged (lines with longer
emergence and settlement patterns) - Data is unavailable for the other methods
When does Expected Claims Technique work well?
- Claims ratios / loss rates are stable and predictable
– Even if case reserve adequacy or settlement rates are changing - Used for early evaluations of long tail lines
- Used in situations development data doesn’t exist or can’t be relied upon
When does Expected Claims Technique not work well?
- Claims ratios / loss rates come in different than expected
– Not responsive to actual claims experience in the year
– Product mix changes
– Shifts in the types of claims