Modelling Flashcards

1
Q

Producing a solution

A

Commercially produced product
Modified existing model
New model

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2
Q

Construction of actuarial model

A

Any model should be fit for the purpose for which it is being used

Operational issues to be considered include:
• be well documented
• be easily communicable, with clearly displayed results
• have sensible joint behavior of variables
• be capable of independent verification for reasonableness
• not be overly complex or time-consuming to run
• be capable of development and refinement
• be capable of being implemented in a range of ways
• have an appropriate time period between projected cashflows, balancing the reliability of the output with the speed of running the model

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3
Q

Developing a model

A

• specify the purpose and key features of the model
• obtain and adjust the data
• set parameters/assumptions, including any dynamic links
• construct the model cashflows
• check the accuracy and fit the model, and amend if necessary
• run the model as many times as required
• output and summarize the results

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4
Q

Use of models for pricing

A

Model point: represent relatively homogenous underlying groups of policies

Risk discount rate is used to discount the future net cashflows, it allows for:
• the return required by the company
• the level of statistical risk (assessed analytically, by sensitivity analysis, from a stochastic model or by comparison with market data)
A stochastic risk discount rate could be used as well

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5
Q

Use of models for setting future financing strategies

A

Used by benefit schemes to determine future financing strategies

Results of model give the amount and timing of future contributions

It is acceptable for a scheme to have a deficit as long as the sponsor can make up for it and there are sufficient assets to meet benefit outgo as it falls due

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6
Q

Use of models for risk management

A

Can be used to determine capital requirements

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7
Q

Use of models for assessing provisions

A

The valuation of a company’s liabilities for regulatory purposes is likely to be carried out in each individual policy or member, rather than by using model points

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8
Q

Use of models for pricing options and guarantees

A

Option and guarantees are likely to be priced by using a stochastic model, particularly if linked to an investment outcome

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9
Q

Model and parameter error

A

The results of the model depend on the model itself and the values assigned to parameters

Sensitivity analysis is used to illustrate the potential variability of the results and to identify the impact of mis-estimation of the parameter values (varying individual assumptions and assessing the impact on the results)

Scenario testing involves changing many assumptions in combination

Goodness of fit tests help to reduce model error

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10
Q

Alternative ways of allowing for risk

A

Statistical risk associated with parameter values can be allowed for in the discount rate and/or by including margins in the parameter values

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