Price Optimization Flashcards

1
Q

“Cost based” rate

A

Estimate of future cost associated with individual risk transfer

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2
Q

Actuarial indication

A

Actuarially sound estimate of the cost to transfer the risk

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3
Q

Rating cell

A

Combination of rating variables from a rating plan

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4
Q

Unfairly discriminatory rates

A

Exists if price differentials fail to reflect equitably the differences in expected losses and expenses

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5
Q

Price optimization

A

Process of maximizing or minimizing a business metric using sophisticated tools and modes to quantify business considerations; Use of big data

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6
Q

3 types of optimization in ratemaking

A

Ratebook
Individual Price
Hybrid

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7
Q

Ratebook optimization

A

Cost and demand models utilized to adjust factors in existing structure; CAS believes this method will not charge different premiums to same risks

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8
Q

Individual Price optimization

A

Creates price based on cost and demand models at individual policy level; more common in US retailers, overseas insurers

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9
Q

Hybrid optimization

A

Create new rate factor based on demand model that supplements cost based rating algorithm, incorporating retention, profitability, expense, premium volume, rate of premium change

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10
Q

Major difference between traditional and price optimized ratemaking

A

Market demand and behavior are quantified
Impact of deviation from cost-based rate calculated
Price elasticity of demand

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11
Q

Price elasticity of demand

A

Impact of a price change on quantity demanded

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12
Q

Price optimization problems to regulators

A

Challenging to review rates - not clear how optimization influenced selections
Large amount of information
Do not have necessary data for independent evaluation
More reliance on insurers for information

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13
Q

Consumer Federation of America stance on optimization

A

No evidence it improves stability, reduces long term costs, or limits disruption

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14
Q

Critics of optimization

A

Same risk could have different rates

Involves charging highest possible price

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15
Q

III stance on optimization

A

Provides more precision in process associated with pricing; allows insurers in an analytical way to deal with what-ifs

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16
Q

States response to price optimization

A

Some have defined and prohibited
Some believe existing laws cover it, no need for more rules
Many states have not yet received a filing that mentioned price optimization

17
Q

Potential regulatory responses to optimization schemes

A

Limit adjustment to be between current and actuarially indicated rate
Limit variables used in defining risk class
Allow optimization to be applied to classes of a certain size
Develop guidance
Enhance filing requirements (transparency)

18
Q

Selected rate not between current and indicated rate may be acceptable if

A

Disclosed
Complies with state law
Demonstrated to be consistent with ASOPs

19
Q

CAS Task Force stance on optimization

A

Capping / transitional rules in public’s best interest

Adjustment to rates not permitted if they cannot be shown to be cost based or comply with state