CMI IP Experience: A User’s Perspective Darshan Singh, Gen Re
A User’s Perspective Inception rates: trends and the economy Termination rates: is there scope for more? Comments on the CMI graduation and; More data please!
experience vs
Trends in Male Class I inceptions As % of Year Ages 18-59
Trends in Female Class I inceptions
Changes in contributing offices Offices do not necessarily provide figures on all their business Reclassification of Class Unknown into Class 1 Some points to watch out for…
Some reasons for inception trends The Economy Change in state benefits in 1995 Replacement of invalidity benefit by incapacity benefit Underwriting developments Occupational reclassification of doctors, nurses, teachers etc Changes in product design Early notification Changing definitions of incapacity
Male Class 1 Inceptions vs Unemployment
The economic link elsewhere Australian study shows link American study by UNUM also shows a link Link with the local economy is apparent for state benefits
Will the trend turn? The UK economy has enjoyed tremendous growth Is a downturn inevitable? Should insurers price in an economic cycle? For guaranteed rates? For reviewable rates? How much of the recent trend is permanent and how much cyclical?
Trends in recoveries Male Class 1 CMIR12 A/E as % of 2002 A/E
Scope for more recoveries Case management focus Get in there early! Rehab is here to stay Use of the telephone Specialist approaches for different causes of claim
New CMI graduation of recoveries Main changes: No longer ‘unified’ model Different for different DPs
Comments on the new graduation At some point recovery rates for the different DPs should converge The graduation is based on data trends to 2002 have not been calculated on this basis
Good CMI data is crucial To increase supply… We need to maintain and improve the data the CMI gives the industry A scene replicated across the UK…. Demand for IP is high
More data please! Rating factors in CMI Age Sex Deferred period Occupational class Rating factors not in CMI Disability definition Exact Occupation Self-employment Smoking status Benefit amount Replacement ratio Policy duration Claims management practices Socio-economic group Geographic location ....
More technology please! Individual year data still circulated as word documents Flexibility reduced by hard coded age categories Termination data especially difficult to work with: age and duration categories change from year to year
Questions