credit score Flashcards
Define insurance score
Numerical score assigned to risk based on risk characteristics
Define credit score
insurance score using credit based on past due account & inquires of opening new accounts
What are credit scores used for? (3)
UW
pricing
tiering
On what levels can credit score impact premium
- Aggregate (companywide) though doesn’t necessarily impact at this level
2 individual (policyholder)
Argue in favor of using credit scores (SMOR)
- Statistically significant - predicts losses
- Manipulation –can’t be manipulated
- Objective – based on data
- Removal – removing doesn’t change aggregate premium (base rate offset)
Argue against using credit scores FEED
- Frequency – correlated w/ freq but not sev
- Errors – credit report has errors
- Economic downturn – credit score drop for losing job is unfair
- Discriminatory – race & income
Issues seen with credit score use after economic downturn at 1) aggregate & 2) individual premium level
- avg credit score down →aggregate premium ↑
- losing job→credit score down→drive less→ individual prem ↑
Solutions with credit score use after economic downturn at a) aggregate & b) individual premium level
aggregate: base rate offset + losing job → stop using credit
indivudual: review loss ratio relativities
T/F – economic downturn shift in credit score causes a) higher premium for all & b) incorrect individual premiums
aggregate: F – use base rates offset
indivudual: F – review loss ratio relativities
Impact of economic downturn on a) insureds b) insurers c) regulators
a) losing job→credit score down→drive less→premium ↑
b) aggregate prem up→use base rate offset
c) consumers complain about affordability
Ways regulator can limit credit use (3)
- ban
- only use in UW
- only use if cause premium decrease
- cap change in tier
How does capping renewal rates from credit change violate CAS rating principles?
rate is less than true loss costs (expected future costs & risk transfer costs)
Argue for vs against rating by gender
not socially acceptable to discriminate by gender
vs low risks are subsidizing high risks (rate doesn’t match loss cost)
2 age groups & one other group disparately impacted by credit
- young (less credit history)
- old (don’t use credit)
low income (can’t use credit)