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The effects of the recent storms have highlighted the importance of long range weather forecasts to give us time
to prepare for the anticipated problems ahead. The evidence suggests we are in for a lengthy warm spell, which
means sea levels are going to be rising. Although we do not know for sure how events will actually unfold,
no-one is seriously suggesting that carbon emissions are cooling the planet. So scientifically-derived models
projecting possible future outcomes are useful in deciding what to do in the here and now. We might not like what
we see, but at least we do not have to wait until the last polar bear sinks from view before we realise that
something is amiss. We have the opportunity to avoid the disaster, or at least mitigate its effects.
How to avoid pension scheme deficits
So why do so many pension schemes have huge deficits? Were there no similar projections available ten or more
years ago that could have warned trustees of the effects of overheating in the financial world? Sadly the
answer is yes, but there was relatively little serious interest in gloomy forecasts when surpluses were
large and everyone was on a contribution holiday. Asset liability modelling ("ALM") is the unsnappy name
for a very valuable tool. What it offers is not just a projection of how the assets grow but also how the
liabilities of a scheme might be expected to develop too. It is designed for Defined Benefit (DB) schemes, and
whilst these are losing favour (at least with private sector employers) there are an awful lot of them still
about, and they are likely to remain of very substantial size for a very long time. So it would be nice to
know what the next valuation might bring, or what the position might be at the end of a deficit
repayment period.
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The chart shows an example of the projected funding level for a DB scheme at the next valuation for a range
of investment strategies. Each bar represents a different strategy.The height of a bar shows the range of
projected outcomes.
Reliability of the projections
There is also the level of certainty to consider: how reliable are the projections? The calculations can
answer this question too. Reasonable estimates can be made of the likelihood of different outcomes. Given
the variability of asset prices in the past, probabilities can be assigned to asset values in the future.
This gives an indication of whether a projected median funding level is a very good indication of the likely
outcome or whether there would be a wide spread of likely outcomes.
Who might find an ALM study useful?
Trustees of DB pension schemes, whether these are closed to future accrual of benefit or not, should find
such an analysis invaluable in reviewing investment strategy. Many already do. The assumptions used to
project future funding levels can be the same as the funding valuation. Employers, too, are increasingly
interested because an FRS17 or IAS19 basis can be used. This will allow an employer to see the projections
relevant to a company’s accounts. There are also proposals from the UK Accounting Standards Board described
as “horrendous” or reasonable, depending on whom you ask. The ALM could take these into account, too, so
that projections of the effects of these proposals could be assessed well before discussions were concluded.
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What does an ALM do?
An ALM study looks at a wide range of different investment scenarios, representing the current mix of
assets and a range of alternative mixes. These could be used to explore the bounds of possible asset
choice and more practical, realistic alternatives. The details and results relating to the most recent
actuarial valuation are also captured. Then the sophisticated software does its work: rolling both the
assets and pension benefits forward in time. The main items of interest are the funding level and the
size of the scheme deficit or surplus. These are the main items that are output from the analysis.
Download (.pdf)
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When is the best time to conduct an ALM study?
The best time to conduct an ALM study is immediately after an actuarial valuation. The reason is
that this is the point when the liability data are most up-to-date. However, this does not preclude
studies being undertaken at other times: the liabilities would then have to be rolled forward appropriately.
Summary
We may not like projections of the effects of global warming any more than we would have liked projections
of pension scheme deficits. But good indications of possible futures allow action to be taken, whilst
there's plenty of time left.
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