C.1 Risk Classification Flashcards

1
Q

Definitions of adverse selection and favorable

selection

A

Adverse selection: Not using a risk characteristic that is used by competitors, and attracting underpriced customers as a result.

Favorable selection: Using a risk characteristic that is not
used by competitors, and attracting profitable customers as a result.

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2
Q

Definition of skimming the cream

A

Identifying a lower cost group of insureds that has not been identified by the competition and recognizing that difference in underwriting or marketing instead of rating.

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3
Q

Definition of risk classification

A

The grouping of risks with similar risk characteristics

(expected costs) for the purpose of setting prices.

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4
Q

3 Primary Purposes of Risk Classification

A
  1. Protect the insurance system’s financial soundness.
  2. Enhance fairness.
  3. Permit economic incentives to operate and thus encourage widespread availability of coverage.
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5
Q

5 Basic Principles that achieve the 3 primary purposes

of risk classification

A
  1. The system should reflect expected cost differences.
  2. The system should distinguish among risks on the basis of relevant cost-related factors.
  3. The system should be applied objectively.
  4. The system should be practical and cost-effective.
  5. The system should be acceptable to the public.
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6
Q

List 4 considerations in designing a risk classification

system

A

Any 4 of:

  1. Underwriting
  2. Marketing
  3. Program Design
  4. Statistical Criteria
  5. Operational Criteria
  6. Hazard Reduction Incentives
  7. Public Acceptability
  8. Causality
  9. Controllability
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7
Q

3 elements of program design of a risk classification

system

A
  1. Degree of choice available to the buyer
  2. Experience based pricing
  3. Premium Payer
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8
Q

3 statistical criteria of a risk classification system

A
  1. Homogeneity
  2. Credibility
  3. Predictive Stability
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9
Q

List 4 operational criteria of a risk classification

system

A

Any 4 of:

  1. Expense
  2. Constancy
  3. Availability of coverage
  4. Avoidance of extreme discontinuities
  5. Absence of ambiguity
  6. Manipulation
  7. Measurability
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10
Q

Major public acceptability considerations for risk

classification systems

A
  1. They should not differentiate unfairly among risks.
  2. They should be based upon clearly relevant data.
  3. They should respect personal privacy.
  4. They should be structured so that the risks tend to identify naturally with their classification.
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11
Q

Social criteria for rating variables

A
  1. Causality
  2. Controllability
  3. Public Acceptability (mainly privacy)
  4. Affordability
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