Marshall Flashcards

1
Q

Why qualitative approaches are preferred when populating a correlation matrix

A

Quantitative approaches are costly, require data, and a lot of time

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2
Q

Bolt-on approach to determining risk margins

A

Separate analyses are completed to develop central estimate of insurance liabilities; does not involve single unified distribution

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3
Q

Claims portfolio

A

Aggregate portfolio for which the risk margins must be estimated

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4
Q

Valuation classes

A

Portfolios considered individually as part of the risk margin analysis

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5
Q

Claim group

A

Group of claims with common risk characteristics

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6
Q

Systemic risk

A

Risks that are common across valuation classes or claim groups

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7
Q

Two sources of systemic risk

A

Internal

External

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8
Q

Independent risk

A

Risks that occur due to inherent randomness in insurance process

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9
Q

Two sources of independent risk

A

Parameter

Process

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10
Q

Two sources of risk can be fully analyzed using bootstrapping or stochastic CL

A

Independent

Historical external systemic

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11
Q

Two sources of risk that cannot be fully analyzed using bootstrapping or stochastic CL

A

Internal

Future external systemic

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12
Q

Why traditional modeling techniques cannot capture all sources of uncertainty

A

Since models fit past data, only able to remove past episodes of external systemic risk, not future

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13
Q

Three sources of internal systemic risk

A

Specification error - due to model cannot perfectly model insurance process
Parameter selection error
Data error

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14
Q

Three external risk categories

A
Claim management process change
Expense
Event
(Economic and social)
(Legislative)
(Latent claim)
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15
Q

Correlation between types of risk

A

Independent - uncorrelated with any other
Internal - tends to be correlated between valuation classes
External - correlation may exist between risks that belong to similar external systemic risk categories

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16
Q

Two distributions to calculate risk margins

A

Normal

Lognormal

17
Q

Scenario testing for risk margin analysis

A

Used to determine how key assumptions would need to change to produce risk-loaded central estimate

18
Q

Internal benchmarking for independent risk

A

Portfolio size - larger portfolio, lower volatility

Length of claim run-off - longer run-off, more time for random effects to have impact

19
Q

When external benchmarking is useful

A

When little information is available for analysis

20
Q

General hindsight analysis

A

AvE

21
Q

Internal benchmarking for internal systemic risk

A

Classes with homogenous claim groups should have similar CoVs
Long-tailed portfolios should have higher CoVs

22
Q

Internal benchmarking for external systemic risk

A

Long-tailed portfolios should have higher CoVs