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UK General Insurance Companies
– are their reserves too low or too
high?
Stephen Diacon, Paul Fenn and Chris O’Brien
Nottingham University Business School
Centre for Risk and Insurance Studies
Copies can be obtained from stephen.diacon@nottingham.ac.uk
Acknowledgement
• This work is part of a project on loss
reserve errors undertaken at the Centre for
Risk and Insurance Studies
• Financial support from the Research
Committee of the Faculty and Institute of
Actuaries is gratefully acknowledged.
Outline
• Introduction
• Accuracy: over- or under-reserving,
time patterns
• Loss reserves and loss errors (= ‘actual’
– ‘expected’)
• Reserve error motivation
• Data and evidence
• Conclusions
Introduction
The research has two main tasks:
1. To estimate calendar-year net reserve
errors for UK ‘one year’ general business in
year t, based on discounted net claims paid
in years t+1 to t+5 and claims o/s in t+5
2. To investigate why reserve errors differ
between companies and over time.
Note: Reserve errort = actual-expectedt, so a negative figure
represents over-reserving
Average Reserve Errors
as % Initial Reserve
1405 company/years, 1985-1996
1984 1986 1988 1990 1992 1994 1996
0
-5
-10
-15
-20
-25
-30
discounted error undiscounted error
Average (Discounted) Reserve
Errors
Reserve Error %, Balanced Sample
31 Companies, 1985-1996
0
1984 1986 1988 1990 1992 1994 1996
-10
of Initial
-20 Reserve
-30 of Capital
-40
Independent Insurance Company
1985-1994
Reserve Error as % of initial reserve
40
20
0
1984 1986 1988 1990 1992 1994 1996
-20
-40
-60
All companies in sample
Independent Insurance
Loss reserves and reserve errors
• Loss reserves = OCR + IBNR
• Focus on loss reserves in calendar year t
generated from accident years t, t-1, …t-4
• Reserve error = PV(cash settlement on these
accident years in t+1 to t+5, plus reserve @
calendar year t+5) – (current estimate @
calendar year t). Discounted using return on
British Government 5-year gilt stock
• Element of subjectivity in the estimation.
Depends on information available in year t.
Reserve error motivation
• Estimation error and prudence
• To smooth performance over time
• To improve current or future
performance and reduce taxes
• To improve solvency picture
• Managerial factors
Data
• Data from the Regulatory Returns for general
business of UK-licensed insurers (net) for 5
most recent accident years (ie t, t-1, .., t-4)
• So methodology ‘looks forward’ for up to 10
years after the initial accident year, but
cannot detect reserve errors arising after t+10
• Focus is on aggregate calendar year net
reserve for all lines, not accident year gross
reserve by line
• Sample selection: positive gross premium in
year t, and no restructuring t+1 to t+5
• Unbalanced panel data for 202 different
companies, 1985-1996
Histogram of discounted reserve
errors % by company/year
Chart 2: Reserve Error as % Initial Reserve
1985 to 1996, Restricted Sample
30 0
20 0
10 0
Std . Dev = 29 .17
Mean = -18 .5
0 N = 128 7.00
10
-9
-8 .0
-7 .0
-6 .0
-5 .0
-4 .0
-3 .0
-2 .0
-1 .0
10
20
30
40
50
60
70
80
90
0. .0
0
0
0
0
0
0
0
0
0
0.
0
.0
.0
.0
.0
.0
.0
.0
.0
.0
0
ERRRES
Histogram of discounted reserve
errors % by company
Evidence, 1985-1996
• Average discounted reserve error
approximately -22% of initial estimated
reserve and -17% of capital
• Average undiscounted reserve errors
approximately -8% of initial reserve
• The distribution is skewed, with 79% of
companies over-reserving (ie negative errors)
• Almost half of all companies over-reserved
by at least 20%
Further Evidence
• First-order autocorrelation in reserve errors –
this year’s errors depend on last year’s!
• Positive short-run relationship between net
profits and reserve errors, ie high profits in
year t are associated with under-reserving in
that year
• Positive short-run relationship between
current solvency and reserve errors, ie high
capital levels in year t are associated with
under-reserving in that year
Conclusions
• Weighted average reserve error –22.3% of
initial estimated reserve
• Two-thirds of over-reserving arises from non-
discounting
• Autocorrelation of reserve errors (what does
this imply for estimating efficiency?)
• In the short run, under-reserving is associated
with higher net profits and higher solvency
margins.
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