39 - Monitoring Flashcards
Give the reasons for monitoring experience.
- A fundamental part of the actuarial control cycle
- Used to update the method and assumptions to be more relevant to future experience
- Used to monitor trends in experience, so as to be able to take corrective actions
- Provide management information
Give the data requirements for experience monitoring.
- Reasonable volume
- Stable and consistent
- Divided into sufficiently homogenous risk groups
- There should be enough data in each group to be statistically significant
- Data on exposure to the risk of a particular product feature or business operation should also be available.
Describe the analysis process for statistical factors.
Factors such as mortality or withdrawals should be grouped into age bands with the number of deaths divided by the number of lives exposed to that risk and then these results compared to a standard table or other assumptions.
Describe the analysis process for economic factors.
Interest rates or returns assumptions are simply compared to actual experiences.
Give the factors to keep in mind when setting or adjusting assumptions.
- Significance of a particular assumption the overall result
- Relationships/consistency between assumptions
- The needs of the client
- Legislative or regulatory constraints
- Margins in assumptions vs risk discount rate
- Time horizons over which assumptions apply
- The credibility of results and hence the need for margins
Give an important consideration around the source of the data with regards to the use of analysis.
Whether the period under investigation was typical and whether the experience is likely to be representative of future experience.
Give the factors that should be allowed for in an analysis.
- Trends
- Cycles
- Abnormal events
- Random fluctuations
- Data risks
- Modelling risks
What are the likely results of experience monitoring?
- Changes to assumptions or models used - pricing, contributions or provisioning
- A change in the assessment of the risks faced by a provider or in its risk management strategy.
Give the method for experience monitoring.
- Division of the data into suitable groups that are homogeneous by risk
- Identification of any past trends, cycles, anomalies and random variation in the past data
- Using the results to revise models and assumptions used
Give considerations when dividing the data into homogeneous groups.
- The volume of data in each cell
- The risk factors for the investigation
- Changes that have occurred that will reduce the relevance of old data
Give considerations when using the results of a monitoring process when revising assumptions and models.
- The purpose and hence the need for accuracy and margins for prudence
- Allowance for future trends
- Likely difference in future experience from past experience
List the factors that a monitoring investigation into the sickness experience of an insurer could split the data into.
- Policy types
- Policy conditions - periods or definitions of sickness
- Age and gender
- Duration
- Smoker status
- Accepted on normal or special terms
- Target market
- Occupation
List the factors that a monitoring investigation into the withdrawal experience of an insurer could split the data into.
- Type of contract
- Duration in force
- Source of business
- Target market
- Frequency of premiums
- Size of premiums - relative to income
- Premium payment method - cash or ETF
- Age
- Gender
Give possible reasons for an insurance company to experience high lapse and surrender rates.
- Inappropriate selling
- Product term competitiveness
- Poor performance - investment or admin
- Mix of business
Give the avenues for action that an insurer can take if it finds an experience to be too far from expected.
- Analysis and investigation
- Change the business strategy.
- Ensure that products meet customer needs