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At first sight, it is natural for
an individual to consider the ages that other people are dying at, and
use that to gauge the age they might achieve. But that
oversimplifies - lifespans not only have increased but will increase
(almost certainly).
In the pensions arena, trustees
and actuaries have been slow to acknowledge the extent of this effect,
and valuation after valuation has needed to correct an underestimate
from a previous valuation. AMIPP has explained the updating
between the 2003 and 2006 valuations. Here we consider whether the
advance between the 2006 and 2009 valuations is sufficient to catch up
with the current statistical evidence. That requires explaining
the 2009 gobbledegook:
“Mortality: males – 115% of
SAPS standard table “S1” Light for males with improvements up to the
valuation date in line with the CMI medium cohort projections. Females –
100% of SAPS standard table “S1” Light for females with improvements up
to the valuation date in line with CMI medium cohort projections.
Allowance is then made for improvements in longevity from the valuation
date onwards in line with CMI medium cohort projections with a minimum
rate of improvement of 1.25% pa.”
There are no regulations about
how these longevity calculations should be done, other than the requirement
for the scheme actuary to be qualified. Common practice is to
adopt the approaches of the Continuous Mortality Investigation (CMI)
which is sponsored by the Actuarial Profession. The methods for a
valuation compute in two steps - what death rates would be if they
stabilized at today's figures, and then what improvements are expected.
The first step is easily
parameterised - for a category of people we need about 50 numbers:
the proportion of them that survive to age X but not to age X+1, for a
range of X up to age 120. (It is a reasonable approximation for
establishing costs that they all die by age 120.) Producing a
table for the first step just needs counting deaths by age that have
happened (and perhaps applying some smoothing and weighting to the results).
The CMI provides such tables for
males and females, rich and poor (as measured by the size of their
pension). The latest published tables are the "S1" series.
On average the more affluent live longer than the less affluent and these are
referred to as "light" and "heavy" death rates. Thus the short
name for the table for more affluent male pensioners is
S1PMA_L. The raw data for such tables was gathered from the
records of Self-Administered Pension Schemes, and the "S1" series is
also known as the SAPS data.
As you would expect, newer series
make the older ones obsolete. In our case the "S1" series, where
the midpoint of the data gathering was around 2003, replaces the "00"
series (used for our 2006 valuation) where the data was gathered around
year 2000. "Light": shows mortality rates for those
pensioners with the largest pensions (in excess of £13,000 pa for males
and £4,750 pa for females).
These members tend to experience "lighter" mortality i.e. they live for
longer. "Heavy": shows mortality experience for those pensioners
with the lowest pensions (below £1,500 pa for males and dependants and
below £750 pa for females). These
pensioners tend to experience "heavier" mortality.
The average IBM UK pension is
£15,900 p.a. So for male scheme members table S1PMA_L, or
something lighter, is the obvious choice.
Remarkably, without giving any
reason, the 2009 valuation assumes our scheme members will have death
rates 15% heavier than S1PMA_L. It is not statistically sound to
suggest IBM UK experience as justification for overriding the SAPS
experience since IBM experience will involve some 1000 instances and
SAPS experience is of order 100 times greater than that. If it
were true that IBMers had 15% greater death rates than nationally
evidenced rates, the appropriate response would be to establish the
cause. (There are those who believe
chemical exposures in the IBM US East Fishkill plant damaged the
health of those who worked there.) The 15% loading
corresponds typically to a year off the lifespan. A year off every
member's pension, if realised, would gift some £300M to IBM
shareholders.
After figures for the death rates
at some particular time have been adopted, the next stage is an
assumption about how those rates will go lower with time. The CMI
provides
tables which extrapolate historical experience, with a number for
each age and future calendar year combination. The number is an
adjustment downward of the death rate for a person having that age in
that calendar year. The CMI has developed
an updated and flexible way of using such tables, "... in
response to the continuation of significant year-on-year increases in
life expectancy, and to concerns over the continued widespread use,
albeit with modifications, of the Interim Cohort Projections which have
inevitably become increasingly out-of-date."
Nevertheless, our trust has used
one of the cohort projections. The name "cohort" projections arose
in recognition that children who grew up during World War II tended to
have noticeably longer lives. (By reason of diet, attitude to
life, or something). The method enabled this cohort to be allowed
for in calculations. The tables came in "short", "medium" and
"long" varieties, allowing assumptions about how far the effect would
persist into the future. The tables could be adjusted to add a
little prudence by ensuring a minimum improvement year-on-year of
(typically) one or two percent. This explains the phrase
"CMI medium cohort projections
with a minimum rate of improvement of 1.25% pa.”
The computer program doing the
valuation needs to aggregate the anticipated futures of the many members
of our scheme. Here is an illustration of what the component of
the calculation is for one typical member, a recently retired 63 year
old male. The three colours in the chart correspond to calculation on
the IBM 2006 valuation basis, the IBM 2009 valuation basis, and the
S1PMA_L with medium cohort improvement. The red bars show how the
2006 basis failed to recognise the improvements in lifespans that are
now acknowledged. The green profile is flatter than the blue,
showing that the 2009 basis mismatches the closer-to-raw data. The
green is higher at the lower ages because of the 15% loading and also
higher at the highest ages because of the minimum 1.25% p.a. improvement
assumption.
All extrapolations lose
credibility if extrapolated too far. The issue here is whether the
experience of the several decades up to now should be used to predict
for the next few decades, which cover the majority of the fund's
outgoings. The most recent published data is hard to follow as it
consists of
a presentation without the accompanying words, but it does not
suggest a slowing down of the pace of lifespan improvement.
DOES ALL THIS MATTER?
- As far as having your
anticipated pension delivered, it probably does not matter. The
valuations get adjusted every three years and underestimates of cost
will eventually get corrected, unless the company fails completely.
Underestimates of this cost do not reduce the company's costs, they
merely move them later.
- It does matter to a person
starting on a pension that is calculated on a "cost-neutral" basis.
The idea of "cost-neutral" is sound - that someone retiring early should
have a lesser pension per month because the pension is expected to be
paid over a longer period. However the extent of the earliness
will be known and fixed whereas the lifespan is a prediction; if
the lifespan is underestimated the reduction needed to balance overall
will be overestimated. This over-reduction is gain for the
shareholders - no other members' pensions are increased because of it.
- It matters to everyone in their
financial planning, in assessing the risk that they will live "too long"
for their inflation-ravaged pensions to support them.
Failure by the trustees to adopt the best predictions, and inform the
members in understandable terms, will lower the quality of this
financial planning. In this planning, retirees will need to
recognise that
inflation experienced by pensioners exceeds the experience of the
broader community.
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