CIA - Models Flashcards

1
Q

Define ‘model’.

A

It is a practical representation of relationships among entities, using FEMS concepts:

  • Financial
  • Economical
  • Mathematical
  • Statistical
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2
Q

What are the elements of a model? (3) (hint: SIR)

A
  • model Specification
  • model Implementation
  • model Run
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3
Q

Define ‘model specification’.

A

It is a description of the parts of a model and their interactions, including:

  • data
  • assumptions
  • methods
  • entities
  • events
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4
Q

Define ‘model implementation’.

A

It is the systems that perform the calculations:

  • computer programs
  • spreadsheets
  • etc.
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5
Q

Define ‘model run’.

A

It is the inputs and outputs of the implementation.

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6
Q

Define ‘model risk’.

A

It is the risk that the user will draw inappropriate conclusions due to the shortcomings of the model or its use

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7
Q

What is the main distinction between a calculation and model?

A

That a model requires more documentation:

  • how it was chosen
  • how it is used
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8
Q

Why is there always risk in using a model?

A

It is because a model is a simplification of reality.

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9
Q

How can model risk be measured? (2)

A
  • severity of model failure

- likelihood of model failure

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10
Q

Describe the considerations in assessing the severity of a model failure. (3)

A
  • financial significance (eg: the severity is higher if estimating a major balance sheet item)
  • importance of model (eg: severity is lower if multiple models are being used)
  • frequency of use of model (eg: severity is higher if model is used frequently)
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11
Q

Describe the considerations in assessing the likelihood of model failure. (4)

A
  • complexity (eg: higher complexity means a higher likelihood of misuse of the model)
  • expertise (eg: non-expert users may not understand the model’s limitations)
  • documentation (eg: bad documentation means that there is a higher likelihood that there will be a model failure)
  • testing (eg: inadequate testing means that there is a higher likelihood of model failure)
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12
Q

Does the actuary have more control over the SEVERITY or the LIKELIHOOD of model failure? Justify your answer.

A

The actuary has more control over the LIKELIHOOD:
it is within the actuary’s control to:
- CHOOSE a more reliable model
- TEST the model more thoroughly

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13
Q

Identify the steps an actuary should take before using a new model. (4)

A
  • review specifications
  • validate implementation
  • deal with the limitations
  • keep documentation
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14
Q

Describe what an actuary does when reviewing a model’s specifications. (3) (hint: DAMs)

A

Verify that the :

  • DATA fits the model requirements
  • METHODS are sound
  • ASSUMPTIONS are appropriate
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15
Q

Describe what an actuary does when validating a model’s implementations. (5)

A
  • compare with other tested models
  • maintain a set of test cases
  • backtesting (testing with historical data where you already know the answer)
  • run an entire live file through successive version of the model (for models with a higher risk-rating)
  • peer review of testing procedure
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16
Q

Describe what an actuary does when dealing with a model’s limitations.

A

The actuary must understand the range of uses for which the model was designed and tested.

17
Q

Describe what an actuary should include when documenting a model. (3)

A
  • how the model was CHOSEN
  • how it was TESTED
  • what are its LIMITATIONS
18
Q

What is an important tool for validating models?

A

A model’s risk rating (riskier models need more thorough validation).

19
Q

How should an actuary evaluate an existing model that’s being used in a NEW way? (2)

A
  • check that the initial model was properly validated

- review limitations in the new application that may not have been relevant in the initial application

20
Q

How should an actuary evaluate a model approved by the use BY OTHERS?

A

The actuary should review & approve the initial validation report.

21
Q

How should an actuary evaluate a model OUTSIDE the ACTUARY’S EXPERTISE? (5)

A

Make a reasonable attempt at understanding the model’s:

  • specifications
  • validation (extent to which experts were involved)
  • risk-rating
  • complexity
  • control framework
22
Q

Give an example of a model outside of the actuary’s expertise.

A

A credit-scoring model.

23
Q

What is the purpose of sensitivity testing regarding models? (3)

A
  • to validate a model
  • to understand the relationship between inputs and outputs
  • to develop a sense of comfort
24
Q

How can model assumptions be tested in the context of sensitivity-testing? (3)

A
  • test assumptions OUTSIDE the expected range
  • test assumptions singly and then IN COMBINATION
  • test assumptions with a NON-LINEAR relationship between inputs and outputs
25
Q

What types of validation should be done when USING a model? (3)

A

Validation of Data, Assumptions and Results:

  • data should be Reliable and Sufficient
  • validate non-global assumptions that vary by model run
  • results should be ‘reasonable’ relative to the input
26
Q

What does it mean for data to be RELIABLE? (2)

A
  • data RECONCILES to audited sources (eg: Balance Sheet

- data is REASONABLE with respect to prior period data (eg: data from prior quarter shouldn’t be hugely different)

27
Q

What does it mean for data to be SUFFICIENT? (2)

A
  • data FITS model specification

- data is available in a CONSISTENT format

28
Q

What checks can be done to validate the results of a model? (2)

A
  • inputs and outputs should be CONSISTENT (input data should match similar fields in output file)
  • results should be REASONABLE in both magnitude & direction (ie: small change in inputs causes a small change in outputs)
29
Q

Compare a uni-dimensional model risk rating with a two-dimensional model risk rating.

A

uni-dimensional approach:
- rating from 1-20 (20 is high)
- based on financial significance, complexity, expertise of users, and documentation
two-dimensional approach:
- assessed separately for severity & likelihood of failure
- final rating is a balance of these