Q&A Bank Part 2 Flashcards
5 Reasons why persistency of business may be an important issue to a general insurer.
- with falling business volumes, it becomes more expensive to spread fixed costs over each policy
- as a large proportion of the costs may be fixed, this could have a material impact on profits
- it is usually more expensive to acquire/regain new business than it is to process renewals
- but the same premium is usually chaged on both new and renewed business
- it is a sign of customer satisfaction and so low persistency may imply a poor level of service and that premium rates are not competitive
Explain why some classes of business are considered more risky than other classes of business
Classes that are highly uncertain have high levels of risk.
The uncertainty may be caused by:
- large variance in claim amount distribution
- large variance in claim frequency
- possibility of accumulations or mutliple claims from one event.
For some classes, there is great uncertainty regarding the claims, based on lack o knowledge or data.
Long-tail liability classes are generally considered to have high uncertainty.
5 Problems for an insurer associated with rapid growth in premium income
- if the increase is due to low premium rates, the increase may indicate future losses
- it could indicate deteriorating experience because of anti-selection or reduced quality underwriting
- administration strains could cause service standards to brokers and policyholders to fall, leading to bad publicity
- the solvency margin could be reduced to close to that statutory minimum level if the minimum is based on premium income
- internal controls may be weakened
5 Areas of greates uncertainty for a general insurer when producing estimates of its claims
- claims emerging from the lates period of exposure, ie IBNR claims
- the possibility of new types of latent claims emerging from liability classes
- inflation of the longest-tail liabilities
- catastrophe claims, eg the uncertainty surrounding huge floods due to climate change
- claims arising from unexpired risks
10 factors limiting the usefulness of industry-wide data
Main problem is the potentail for distortions within the data (heterogeneity)
The data supplied by different companies may not be directly comparable because:
- it relates to different socio-economic or geographical areas of the market
- policy conditions may differ
- other practices may differ, eg underwriting, claims settlement
- the nature of the data stored may differ
- the coding used for the risk factors might vary
Other potential problems:
- data is usually less detailed and less flexible than that available internally to a company
- often more out of date than internal data
- quality may be suspect if some contributors have poor quality data systems or supply incorrect information
- not all companies contribute
6 Constraints that might prevent an ideal data system being maintained
- age (over time, the system will become out-of-date)
- mergers and acquisitions could lead to the existence of legacy systems or data being migrated on to one of the system, leading to potentially empty data fields
- new rating factors being added, leading to potentially empty data fields for historic data
- a reorganisation of class structres, with the insurer being unable to assemble the historic data into the new classes
- human error, which is inevitable
- conflicts between users, which could lead to a lack of data for some users and too much data for others
14 Influences on data quality from different companies
- age of company
- size of company
- age of computer and information system
- existence of legacy systems
- integrity of systms, eg automated checks
- quality of managers
- quality and training of staff
- nature of organisation (direct insurer vs reinsurer)
- sales outlet used
- classes of insurance sold
- type of insured (eg large commercial risks vs small personal risks)
- product design
- rate of change in products
- simplicity and ease of use of computer systems
9 purposes for which an insurer analyses claims data
- reviewing premium rates and risk acceptance criteria
- claims reserve estimation and analysing changes in claims experience or claims environment, including inflation
- comparing actual claims run-off against previous estimates
- assessing the relative profitability of different blocks of business
- monitoring the adequacy and use of reinsurance
- valuing a general insurer for sale, purchase or merger
- asset evaluation for capital modelling decisions
- monitoring the insurer’s asset / liability position
- financial planning for budgeting and solvency purposes
9 Main areas of a gneeral insurer’s operations in which experience analyses are used
- rating
- reserving
- asset liability modelling and investment
- expense allocation
- risk management
- capital management
- financial planning (profitability monitoring and solvency)
- reinsurance programme performance
- marketing
11 Reasons why insurers need to calculate reserves
- to determine the liabilities to be shown in the insurer’s published accounts
- to prepare separate accounts for the purpose of supervision of solvency and to determine the liaiblities to be shown in those accounts, if necessary
- to determine the liabilities that we show in the internal management accounts
- to value an insurer for purchase or sale
- to assess the adequacy of the company’s case estimate and/or IBNR claims reserve estimation in previous year-end exercises
- to provide information to management on how areas of the business are performing, and provide an indication on the profitability of business currently being written
- to compare best estimates against held reserves
- to calculate ranges of results
- to transform an underwriting year into an accounting year
- to calculate movements in reserves and analyse reasons for these
- to calculate reserves in order to estimate the cost of claims incurred as an intermediate step in the premium rating process.