B2. Experience Rating Flashcards
1
Q
Advantage of experience rating
A
- Accounts for differences between risks in a class
- Accounts for variables that are difficult to quantify
- Further refinement of classification beyond manual rates
2
Q
Goals of experience rating
A
- Greater risk equity ( the degree of the charge based on the past experience should be the degree of which it is predictive of future losses)
- Safety incentive (by charging insureds a higher premium for prior losses, insureds have a financial incentive for loss control)
- Enhance market competition (helps guarantee equal profit potential, more companies are willing to sell)
3
Q
3 conditions for credibility Z
A
- 0<=Z<=1
- d/dE(Z) >=0, credibility does not decrease as size of risk increases
- d/dE(Z/E) <=0 , % of change for any loss decreases as size of risk increases
4
Q
Buhlmann credibility
A
Z = E/(E+K)
K = EPV?VHM
5
Q
No split plan emod
A
1+ Z* (A-E)/E
6
Q
Single Split plan emod
A
1+ Zp(Ap-Ep)/E + Ze(Ae-Ee)/E
loss-free mod =[ (1-Zp)Ep + (1-Ze) Ee ] /E
Primary amount reflects claim frequency, excess amount reflects severity
Works better when parameter risks and process risks can be separated
7
Q
Quintile Test for testing the experience rating
A
- Sort risks by emod in increasing order
- Group the sorted risks into quintiles
- For each quintile, calculate the manual LR and standard LR using weighted average
If premium is not available, use actual loss/expected loss for manual, and actual loss/modified expected loss for standard. - Under a plan performing ideally:
- Maximum dispersion in manual LRs (identifying risk differences)
- Flat standard LRs across each quintiles, less dispersion means more equitable (plan corrects for risk differences, an appropriate credibility has been given to the actual loss experience)
8
Q
Efficiency test for testing experience rating
A
Test statistics = var(standard LR)/ var(manual LR)
lower test statistics indicate better performance