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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!
2001-2002 experience vs 1995-96
Male FemaleDP4 DP13 DP26 DP52 DP4 DP13 DP26 DP52
Class 1 -32% -32% -31% -33% -48% -38% -31% -30%Class 2 -49% -11% -21% -29% -56% -50% -35% -18%Class 3 -54% -28% -13% -28% -77% -53% -59% -79%Class 4 -50% -33% -32% -64% - - - -
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
0%
2%
4%
6%
8%
10%
12%
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
Year
Un
em
plo
ym
en
t ra
te
0%
20%
40%
60%
80%
100%
120%
140%
160%
180%
DP
4 i
ncep
tio
ns a
s %
of
2002
Unemployment DP4 Inceptions as % of 2002
The economic link elsewhere Australian study shows link
http://ecocomm.anu.edu.au/research/papers/pdf/2001-01.pdf
American study by UNUM also shows a link http://library.soa.org/library/record/2000-09/rsa02v28n233of.pdf
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?
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 1991-98 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