Aggregate Excess Loss Cost Estimation Flashcards
Advantage of using vertical slices
Size method
More intuitive
Advantage of using horizontal slices
Layer method
Faster if calculating XS losses for multiple limits
Entry ratio
Ratio of actual loss to expected loss
Used to adjust for size of risk
Table M charge, definition
Expected percent of losses > rE
Table M savings, definition
Expected percent of losses < rE
Table M process
Find all given r
Ø(ri) = (ri+1 - ri) * % of risks above r
Ø(rmax) = 0
Savings = Ø + r - 1
Why Table M charge columns would be needed for different risk sizes
Variance of aggregate loss distribution will vary by risk size
Larger size, less variance
Diagram representing Table M charge and savings
Formulas for Table M charge and savings, continuous distribution
First and second derivatives of Table M charge and savings
What happens to charge and savings as entry ratio and risk size go to infinity
Variance in ratios goes to zero, so curve will flatten
Charge becomes max (0, 1 - r)
How an error in estimation of expected losses impacts insurance charge
% error is greatest for large policies with high r
$ error is greatest for large policies with low r
Adjusted expected losses for a risk
Expected losses x State Hazard Group Differential
Purpose of State Hazard Group Differential
Some policies of same size are riskier than others
Differential adjusts expected losses to match those of a different size but same distribution shape
How NCCI moving to expected claim counts (instead of losses) will change risk mapping
No longer need to update for inflation
Riskier groups will lower expected # of claim counts, so variance of aggregate distribution would be higher
If severity distribution differs in scale only, it will be effective