price optimization Flashcards
Items used in price optimization not used in traditional ratemaking (2)
GLM
big data (sophisticated tools to quantify business considerations)
Define price optimization
Process of maximizing or minimizing business metric (profit)
Define constrained optimization
Set min & max limit on models output (min = current price + max = cost based rate)
Define cost based rate
Traditional actuarial derived rate based on costs (loss + expenses)
Rate vs Price
Estimate of future costs (cost based rate)
vs uses business decision (where do you want to grow)
Define price elasticity of demand
- ∆ in demand vs ∆ in price (Gas is low elasticity)
3 types of price optimization
Rate book optimization vs individual price optimization vs hybrid optimization
how works
premium of same risks
type of model(s)
- how works: adjust rates in exisiting book
- vs price at ind level
- vs insert new rating factor over cost based algorithm
- premium of same risks: same
- vs might be diff
- vs might be diff
- type of model(s): Cost&Demand
- vs Cost&Demand
- vs Demand
Traditional ratemaking vs Price optimization
- Applied at rate class level vs can be applied to individual premiums
- model: Cost based pricing vs used demand model
- indicated rates: Subjective deviation from indicated rate vs quantitative model deviates from indicated rates
- pricing: Same for same risk vs maybe different for same risk
- regulators : acceptable vs maybe unacceptable
Define unfairly discriminatory & groups often discriminated against
Price differences don’t reflect loss cost differences–>same risks have different premiums
Race, salary
Aspects of price optimization that cause unfairly discriminatory rates aka same risks have different premium
- Demand model (price elasticity)
- Propensity to shop
Argue for price optimization (4)
- NOT unfairly discriminatory – (doesn’t discriminate vs low income bc they are more likely to shop)
- NOT unfairly discriminatory (rate book optimization – same risks have same premium)
- Limits policyholder disruption (premium transition has smaller rate swings)
- More accurate rates (quantitative model instead of judgement to deviate from indicated rates)
Argue against price optimization
- YES unfairly discriminatory (does discriminate vs low income bc they are less likely to shop)
- YES unfairly discriminatory (Same risks have different premium/rates unrelated to loss costs)
- Policyholder disruption (Large rate swings)
- Regulators don’t have data to verify rates
- No evidence of lowering long term costs of insurer
Task force definition of unfairly discriminatory (3)
- Price elasticity of demand
- Propensity to shop
- Retention adjustment at individual level
Task force recommendations
- Rates should be cost based
- same risks should have same rate(except premium transition)
Responses state regulator can take to address usage of price optimization
- Ban PO
- cap rate changes
- only allow PO on large rate groups instead of individual level
- require disclosures (DAM, rating factors impacted)