Chapter 18 - Models Flashcards

1
Q

State the prime objective in building a life insurance company model

A

Enable actuary to give appropriate advice in company…

…so that it can be run in a sound financial way

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2
Q

State the requirements of a good model (14)

A
  • Valid for purpose
  • Rigorous- realistic results under wide range of circumstances
  • Well documented - audit trail, key assumptions/approximation
  • Reflect risks being modelled
  • Parameters/components used allow for material aspects of business being modelled
  • Parameter values appropriate - for particular business and the general environment
  • Sensible joint behaviour of variables eg:
    +higher expense inflation => higher claims inflation
    +higher claims rates => higher reinsurance recoveries
    +higher inflation => higher (nominal) bond yields, equity returns?
  • Easy to understand/appreciate model
  • Easy to communicate model
  • Results displayed clearly
  • Output reasonable able to independent verify reasonableness
    +Reconcile with supervisory valuation
    +Reconcile with results from last run
    +Ratio checks on future results
  • Not overly complex to
    +understand
    +explain/communicate
    +expensive to run
  • Ability to develop/refine over time
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3
Q

List the general features of a life insurance company model specifically (5)

A
  • Model may be used to model different types of business
  • Model should project all cashflows that may arise
  • Allow for interactions/correlations between variables (dynamic links; joint sensible behaviour)
  • Guarantees/options should be properly allowed for; stochastic model best for this
  • Projection frequency/time period
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4
Q

List the 4 different types of life insurance company models (that differ in the policies that are included in the model)

A

Profit testing model
* projects expected cash and profit flows on policies from date of issue
* key for pricing/product design

New business model
* projects all expected cash and profit flows arising from future sales of new business
* useful for assessing future capital requirements for new business/overall return on capital achieved from future sales

Existing business model
* cash & profit for projection from all existing business company has in force at particular time point
* important for assessing intrinsic value of existing business and testing solvency of company’s existing business

Full model office
* sum of new and existing business model
* of fundamental importance in assessing impact of future management decisions on company’s future financial development

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5
Q

What is a stochastic model?

For stochastic models compared to deterministic models:

State 3 advantages
State 2 disadvantages

A
  • A stochastic model is one in which we assign probability distributions to one or more unknown parameters.

Advantages

  • Distribution of outcomes (not just single outcome) because can assign a probability distribution to one/more unknown future parameters
  • Positive liability can be calculated where deterministic approach might otherwise produce zero liability e.g. costing options and guarantees
  • Interactions explicitly modelled i.e parameters may be assumed to vary together

Disadvantages

  • Time and computing constraints
  • Possible spurious accuracy i.e. results very sensitive to (deterministic chosen) assumed values of parameter(s) involved
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6
Q

Give examples of circumstances in which deterministic models might be appropriate (5)

A
  • the actuary is satified that similar results could be obtained as if a full stochastic projection was used
  • specific scenario being tested within simple cashflow model
  • Quick, independent test is required to see that the results of a stochastic projection are reasonable
  • To provide upper and lower bounds
  • To avoid nested stochastic model
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7
Q

Describe 2 approaches to calibrating stochastic models of economic variables

A
  • Risk neutral/market-consistent: typically used for valuation purposes, particularly where there are options/guarantees
    Focus: attempt to replicate market prices of financial instruments as closely as possible using risk neutral probability measure
  • Real world calibrations
    +typically used for projecting in future e.g. for calculating appropriate level of capital to hold to ensure solvency under extreme adverse future scenarios at a given confidence level
    +focus: use assumptions according to realistic ‘long-term’ expectations and which consequently also reflect observable real world probabilities/outcomes
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8
Q

What is the financial economic or market-consistent approach

A

Financial economic approaches to modelling insurance business generally seek to set future unknown parameter values so as to be consistent with market values, where a corresponding market exists

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