I had occasion to look through the recent accounts of a sample of UK charities yesterday and was quite surprised to find that:
- some charities (e.g. Blind Veterans UK and NSPCC) still seem to be exposed to significant financial risk from their defined benefit (DB) pension plans. (See the chart above – the three charities at the end don’t seem to have DB pension plans or have immunised themselves against this risk).
- the cost of raising funds seems to vary quite a lot across the charities I looked at, ranging from almost a quarter (24%) of income (Woodland Trust), to about a fifth of that (5%, Barnados). (See chart below).
“Some UK charities still have significant pension plan risks or very high costs of raising funds?” Read More
(This is a follow up to part 1 which you can see here. Posted by Patrick Lee on 15 August 2017 at a different location, but migrated here on 05 Feb 2018).
Proposed First Draft
I’ve now completed a first draft of a proposed standard, as a Microsoft Excel file (118kB, so quite small). You can download it here. Comments/criticisms most welcome. Let’s make this happen!
Why Microsoft Excel?
I’ve chosen to put it in an Excel file (as opposed to CSV or other non proprietary formats) for the moment because Excel offers the following advantages:
- we can put several different worksheets/tables in a single file
- field headings can have explanatory comments
- I’ve using colour coding to visually group similar fields.
“A (UK) Pensions Data Format Standard – let’s make it happen! (Part 2)” Read More
(Posted by Patrick Lee on 14 August 2017 at a different location, but migrated here on 05 Feb 2018).
I’ve just watched several videos and read a good article on the Semantic Web (also called Linked Data and Web 3.0, in which not just humans but computers can understand content) by Brian Sletten. It would be good for the pensions and insurance industry to play its part in helping the web move towards 3.0 (something that will have even more of an impact than Web 1.0 did in about 1998, and Web 2.0 – the advent of social media which enabled everyone to connect and become a publisher – in about 2008) and I will be writing more about this soon.
“Moving pensions and insurance towards Web 3.0” Read More
(Posted by Patrick Lee on 8 August 2017 at a different location, but migrated here on 05 Feb 2018).
I have long thought it would be useful for there to be a standard format for exchange of data files for DB (Defined Benefit, i.e. final salary or career average revalued) pension plans, at least in the UK initially.
This would make it easier for pension plans to share information (with actuarial consultants, but also other advisers e.g. buyout companies, investment analysts), not just in mergers and acquisitions, but also in risk transfers (longevity, or pensions buyouts) and would improve the comparability of analysis across companies by investors etc. It should also reduce costs for trustees and plan sponsors, and may increase the quality of the data held.
“A (UK) Pensions Data Format Standard – let’s make it happen!” Read More
(Posted by Patrick Lee on 1 August 2017 at a different location, but migrated here on 05 Feb 2018).
Why is there a range of answers, even using a given set of assumptions? Are these differences real, or artificial?
It would clearly make a difference whether a company’s pension liabilities were £475m, £500m or £525m …
The value of an organisation’s defined benefit (final salary or CARE – career average revalued) pension plan promises normally depends on many uncertainties, including:
- how long the plan members and their partners are expected to live
- what proportions of active members will leave service, or retire on ill health, before reaching normal retirement age
- what the future rates of salary growth and price inflation (and hence pension increases) will be
- assuming that a perfectly matching asset portfolio can’t be found (normally such a portfolio doesn’t exist), then what the future rates of reinvestment (for cashflow mismatches) will be.
“How corporate pension liabilities could vary by 10% or more, even on an agreed set of assumptions” Read More