CIA.Models Flashcards
Define ‘model’
A simplification of reality using financial, economical, mathematical and statistical conceptsor
A practical representation of relationships among entities using FEMS concepts.
[Financial, Economical, Mathematical, Statistical]
What are the 3 elements of a ‘model’ (Hint = SIR)
- Specification
- Implementation
- Run
Define ‘model specification’ a model elements
A description of the parts of a model and their interactions
(data, assumptions, methods, entities, events)
Define ‘model implementation’ a model elements
The systems that perform the calculations
(computer programs, spreadsheets,…)
Define ‘model run’ a model elements
The inputs/outputs of the implementation
Define ‘model risk’
The risk that the user will draw inappropriate conclusions
due to shortcomings of the model or its use
Why is there always risk in using a model?
Because a model is a simplification of reality
How can model risk be measured? (2)
- Severity of model failure
- Likelihood of model failure
Identify 3 considerations in assessing the severity of model failure
- Financial significance
(Ex: severity is higher if estimating a major balance sheet item) - Importance of model
(Ex: severity is lower if multiple models are being used) - Frequency of use of model
(Ex: severity is higher if model is used frequently)
Identify 4 considerations in assessing the likelihood of model failure
- Complexity
(Ex: higher complexity means higher likelihood of misuse of model) - Expertise
(Ex: non-expert users may not understand model limitations) - Docs
(Ex: bad docs means high likelihood of model failure!!!) - Testing
(Ex: inadequate testing means high likelihood of model failure)
Does the actuary have more control over the SEVERITY or LIKELIHOOD of model failure? (justify)
More control over likelihood
- CHOOSE a more reliable model (within the actuary’s control)
- TEST the model more thoroughly (within the actuary’s control)
Identify the 4 steps an actuary should take before using a new model
- Review specification
- Validate implementation
- Deal with limitations
- Keep documentation
Describe 3 things an actuary does when reviewing a model’s SPECIFICATIONS
Verify DAMs
:
- your D
ATA fits the models requirements
- M
ETHODS are sound
- A
SSUMPTIONS are appropriate
Describe 5 things an actuary does when validating a model’s IMPLEMENTATION
- 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 versions of the model (for models with a higher risk-rating)
- Peer review of testing procedure
Describe what an actuary does when dealing with model’s LIMITATIONS
Understand the range of uses for which the model was designed and tested