price optimization Flashcards

1
Q

Items used in price optimization not used in traditional ratemaking (2)

A

GLM

big data (sophisticated tools to quantify business considerations)

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2
Q

Define price optimization

A

Process of maximizing or minimizing business metric (profit)

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3
Q

Define constrained optimization

A

Set min & max limit on models output (min = current price + max = cost based rate)

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4
Q

Define cost based rate

A

Traditional actuarial derived rate based on costs (loss + expenses)

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5
Q

Rate vs Price

A

Estimate of future costs (cost based rate)

vs uses business decision (where do you want to grow)

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6
Q

Define price elasticity of demand

A
  1. ∆ in demand vs ∆ in price (Gas is low elasticity)
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7
Q

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)

A
  • 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
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8
Q

Traditional ratemaking vs Price optimization

A
  1. Applied at rate class level vs can be applied to individual premiums
  2. model: Cost based pricing vs used demand model
  3. indicated rates: Subjective deviation from indicated rate vs quantitative model deviates from indicated rates
  4. pricing: Same for same risk vs maybe different for same risk
  5. regulators : acceptable vs maybe unacceptable
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9
Q

Define unfairly discriminatory & groups often discriminated against

A

Price differences don’t reflect loss cost differences–>same risks have different premiums

Race, salary

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10
Q

Aspects of price optimization that cause unfairly discriminatory rates aka same risks have different premium

A
  1. Demand model (price elasticity)
  2. Propensity to shop
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11
Q

Argue for price optimization (4)

A
  1. NOT unfairly discriminatory – (doesn’t discriminate vs low income bc they are more likely to shop)
  2. NOT unfairly discriminatory (rate book optimization – same risks have same premium)
  3. Limits policyholder disruption (premium transition has smaller rate swings)
  4. More accurate rates (quantitative model instead of judgement to deviate from indicated rates)
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12
Q

Argue against price optimization

A
  1. YES unfairly discriminatory (does discriminate vs low income bc they are less likely to shop)
  2. YES unfairly discriminatory (Same risks have different premium/rates unrelated to loss costs)
  3. Policyholder disruption (Large rate swings)
  4. Regulators don’t have data to verify rates
  5. No evidence of lowering long term costs of insurer
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13
Q

Task force definition of unfairly discriminatory (3)

A
  1. Price elasticity of demand
  2. Propensity to shop
  3. Retention adjustment at individual level
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14
Q

Task force recommendations

A
  1. Rates should be cost based
  2. same risks should have same rate(except premium transition)
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15
Q

Responses state regulator can take to address usage of price optimization

A
  1. Ban PO
  2. cap rate changes
  3. only allow PO on large rate groups instead of individual level
  4. require disclosures (DAM, rating factors impacted)
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16
Q

Why price optimization may be permissible under ASOPs vs not permissible

A

permissable: If rates are not excessive, inadequate, or unfarily discriminatory

vs not permissable: same risks have different rates –> rate should be estimate of future loss costs