Grossi Flashcards

1
Q

Aleatory Uncertainty

A

Inherent Randomness

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2
Q

Epistemic Uncertainty

A

Due to lack of information
Can be reduced with more data collection

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3
Q

Two Types of Uncertainty in CAT Models

A

Aleatory
Epistemic

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4
Q

Why CAT Models better than historical data

A

Infrequent events (1in100)
Climate Change
Mix Shift

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5
Q

Users of CAT Models

A

Insurers (UW, Risk Transfer)
Reinsurers (Pricing)
Capital Markets (Price CAT bonds)
Regulators (review rates based on models)
Emergency Agencies (FEMA) (Impact of an actual event)

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6
Q

Modules of a CAT Model

A

Hazard (simulates CAT)
Inventory (Portfolio of properties)
Vulnerability (Simulates damage given simulated CAT)
Loss (Quantifies losses on a property)

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7
Q

Characteristics of an Insurable Risk

A
  1. Can identify and quantify frequency/severity
  2. Can set premiums for each customer
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8
Q

Damage function

A

x axis: intensity (e.g. wind speed)
y axis: damage ratio (% of insured value)

there is a distribution around each intensity AND a distribution around resulting damage ratio

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9
Q

Exceedance Probability Curve (Definition and Uses)

A

Probability that a certain level of loss will be surpassed in a given time period

  1. Size and dist. of potential losses
  2. Types/locations willing to insure as well as coverage limits and price
  3. Determine risk transfer need
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10
Q

Types of Exceedance Prob Curves

A

Occurrence - at least one occ exceeds specified loss
Aggregate - agg during time period exceeds…
Conditional - amount of single event exceeds…

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11
Q

Survival Constraint

A

Prob that (total loss > total prem + surplus) is less than a specified level

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12
Q

Problems with Using CAT Models

A

-Regulatory acceptance
-Public acceptance
-Often outside of actuaries’ expertise
-Model-to-model variance

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13
Q

Ways to Add Uncertainty to CAT Models

A
  1. Logic Trees - relies on simplifying assumptions. Alt params identified and given weights. Weighted linear combination calculated
  2. Simulation Methods - model complex processes by assuming dist for each uncertain param
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