Chapter 23 - reserving Flashcards
The purpose of calculating reserves
ARMIC
- determine liabilities to show in published accounts
- determine liabilities to be shown in supervisory accounts (if separate accounts have to be prepared)
- to determine liabilities to be shown in internal management accounts
- assist with assessment of reinsurance arrangements
- value the insurer for merger or acquisition
- influence investment strategy
- estimate the cost of claims incurred in recent periods and hence provide a base for estimating future premiums required to attain a given level of profitability
Reserves for short-term
- UPR
- URR
- IBNR
- claims in transit
- outstanding claims reserve
- incurred but not enough reported
- equalisation or catastrophe reserve
- investment mismatch
UPR
The balance of premiums received in respect of periods of insurance not yet expired
URR
- reserve in respect of the above unexpired insurance premium where it is felt that the premium basis is inadequate to meet future claims and expenses.
- URR is an estimate of what is actually needed to provide for the unexpired risk
- calculated by estimating the future loss ratio and applying it to the proportion of premium unexpired
Claims in transit
reserve in respect of claims reported but not assessed or recorded
Outstanding claims reserve
reserve in respect of claims notified to the insurer but not fully settled
IBNER
- reserve for outstanding reported claims
- adjustment to existing outstanding claims reserve
Equalisation or catastrophe reserve
reserves where it is felt that the current year and abnormal amounts will have to be held back for abnormal events.
Methods to calculate reserves
- case estimates
- statistical estimates
when would you use statistical estimates for long-term?
Usually used where benefits are paid as an income
When would you use case estimates for long-term?
Would only be used for very small volumes of claims, where the reserve can be determined by asking the claims manager to estimate the likely duration of each claim (where claims payments form a known income)
When would you use statistical estimates for short-term?
PMI (although certain large or unusual claims will warrant reserves on a case-by-case basis)
- statistical estimation involves calculating the expected total claim amounts for outstanding claims based on relevant past experience.
Claims estimates
claims manager inspects claims papers and estimates the ultimate outgo for each case individually
What factors for PMI will be taken into account when calculating claims estimates?
- procedure type
- hospital to be used
- name of surgeon, consultant, or other medical principal
- policy coverage
- age, gender, past claims history
- current levels of medical inflation
Disadvantages of claim estimates
- cannot be used to produce estimates for claims that have not been reported
- relies on skill and judgement of individuals
- assessors may be naturally conservative or optimistic in their assessment
- case estimates are extremely difficult to check
- if estimates used for negotiation with claimants, there may be a tendency for the estimate to be biased to the lower end
- might be thousands of outstanding claims and will take many person-hours in total to estimate each claim amount individually making method very expensive
- assessors may not use consistent rates of inflation
- in some cases, estimates of outstanding claim reserves will need to be made by outsiders who don’t have access to all the data
Advantages of claim estimates
- only approach that can make use of all known data on outstanding claims
- there are qualitative factors that influence the amount of a claim
- can be applicable when statistical methods are not reliable
Statistical estimates
- appropriate for particular types of homogeneous claims where the portfolio is large enough and the experience is deemed to be stable.
- outstanding claims estimated en masse in relatively homogeneous cohorts based on historical trends and patterns, adjusted for known or anticipated future changes.
- portfolio is segmented
- statistical distribution is fitted to past experience to estimate the claims incurred from the earned premium
- can incorporate IBNR provision
Statistical estimate methods
- chain ladder method
- average cost per claim methods
- loss ratio methods
- blends e.g. bornheutter-ferguson
Results may differ because:
- adjustments for past inflation
- the choice of reported or paid claims
- the choice of claim cohort
- the choice of different development ratios or different grossing up factors
- the choice of exposure and loss ratio to apply
- assumptions about future inflation
- allowance in claims data for:
- claims settlement expenses, hospital discounts, expected reinsurance recoveries
Chain ladder method
- uses development ratios that are weighted by the cumulative claims from which they arise.
- can be applied to reported incurred claims or to paid claims
Assumptions underlying the basic chain ladder method
- for each origin year, the expected amount of claims in monetary terms, paid in each development year, is a constant proportion of total claims, in monetary terms, from that origin year.
Assumptions underlying the inflation adjusted paid chain ladder method
inflation index is applied to past claims data to bring them in line with the latest year and to inflate the projected claims to the expected year of payment.
BF method concepts
- whatever claims have already developed in relation to a given origin year, the future development pattern will follow that experienced for other origin years
- the past development for a given origin year doesn’t necessarily provide a better clue to future claims that the loss ratio
BF approach
- determine the initial estimate of total ultimate claims from each treatment month using premiums and initial expected loss ratios
- multiply these estimates by the proportion outstanding
- add these figures to the claims paid to date to give an estimate of the ultimate loss for each treatment month