Insurers dealing with regulatory change

Insurers around the world are dealing with increased regulations and increasingly nervous regulators, just waiting for the next crisis to see how insurers will cope. In South Africa, SAM presents opportunities and challenges and the potential for a great deal of expense with limited direct business benefits.

Of course, the regulations in some form or other are coming and are likely to stay. The Actuary magazine has an article on some of the lessons for insurers and regulators about how to actually get some control and understanding of macro and systematic risks within the new regulatory models.

NBMR – still relevant

With several life insurers reporting financial results, including horribly broken measures of new business profitability such as VNB margin or VNB / PVFNBP, it feels like time to roll out New Business Margin on Revenue again and describe why it is a much better measure.

It is a good time, but I don’t currently have the time. I’m going to try to prepare a basic spreadsheet example to make it clearer. I’ve also decided on a provisional treatment of pure financial instruments that I hope will give useful results.

Watch this space.

Telecoms firms entering profitable segment of insurance market

Aside

Telecoms firms entering profitable segment of insurance market.  What’s interesting here is that Vodacom have obtained a licence to sell insurance and MTN apparently already has a licence. With all the regulatory change (SAM, TCF, POPI et al) going on in the insurance market it requires view of significant volumes and profits to warrant the complexity and costs of a new licence.

JPBIBNR – Just Plain Bad Incurred But Not Reported

Nigerian GAAP, soon to be replaced by IFRS at least in the financial services sector, requires IBNR liabilities to be set equal to 10% of the Outstanding Claims Reserve. This is a terrible estimate of IBNR and there really are other, also very simple, better measures available.

As an aside, the use of IFRS balance sheet figures for regulatory reporting is also an unusual idea. There is no particular reason to believe that a shareholder financial reporting basis is appropriate as a regulatory measure. It can be, with specific capital rules perhaps, but it’s not automatically so.

Why the 10% of OCR rule for IBNR liabilities is so bad:

  1. For very long-tailed business with no or low claims reported in the first year, the IBNR will be massively understated
  2. as claims are reported (and before they are paid), the OCR will increase. The IBNR should decrease as the claims have now been reported, but given the 10% rule it will actually increase.
  3. The reconciliation of opening to closing IBNR and the comparison of actual vs expected IBNR claims over time is not useful since there are no explicit expectations built into the methodology
  4. Clearly the method is not sensitive to risks and delays of product lines or processes.

So what’s better? Well aside from the range of standard but fairly complex techniques (including Ultimate Loss methods, Basic Chain Ladder, Bornhuetter-Fergusson, Average Cost Per Claim and a whole range of stochastic methods) there are better simpler measures.

A starting point, although also very far from ideal, is the current (soon to be changed) South African statutory requirement of 7% of net written premiums. It also isn’t sensitive to different delay patterns and will give poor results if net written premium is growing or shrinking rapidly.

Really, the ideal simplification requires a little more complexity, but as a reward for this effort is a far more robust, more accurate measure that behaves sensibly in a far wider set of scenarios.

For each line of business for each delay year, we use a specified percentage of gross earned premium for the gross IBNR. Reinsurers’ share can be calculated similarly. The information relating to earned premium per line of business going back several years should be trivial to obtain and ensures we get a sensible pattern taking into account the growth in the business, the mix of business as well as change in mix of business. The method works well for start-up, mature or declining books.

The fundamental drawback of not reflecting a particular insurer’s patterns remains, but aside from using actual delay data this is about as good as one can hope for.

Frankly, why more regulators don’t prescribe this method is a mystery. The information is available, it’s trivial to calculate and verify and the results are robust.

West African insurance trip

Status

I’m flying to Lagos for a few days to work with a couple of Nigerian insurers.

The Nigerian financial services market is already significant and growing, but insurance is still quite small. Risk and capital management are embryonic and there are simply too few actuaries in the market to push practices beyond the 1970s.

Net Premium Valuations with only very crude allowances for expenses and not separate reinsurance balances are the norm. With Profits business management is a little Wild West with few protections in place for policyholders.

Let’s see how the trip goes.

Medical Schemes, discrimination and the CPA

The Consumer Protection Act (CPA) protects consumers from abuse by enforcing fair practices, improved disclosure and added minimum warranties etc,

It’s a good piece of legislation, even if at times some aspects of it may result in greater costs than benefits.

TimesLive has a story about the alleged noncompliance of medical schemes with the CPA.

Some of the issues may have merit, but this struck me as particularly troubling:

According to the act, it is unfair when a consumer is discriminated against on the grounds of age.

Our constitution explicitly allows discrimination on actuarially sound rating factors that have both a statistical and causal link. This is how insurance is South Africa still uses underwriting to select homogenous groups of risks and to limit anti-selection by policyholders. If widespread anti-selection were to occur, then life insurance would not be viable.

Medical Schemes in South Africa have only very limited underwriting options in order to provide as many citizens as possible with fair health coverage. “Late joiners” are charged a premium since they haven’t contributed to the societal risk pool since they were most healthy and therefore haven’t paid “their fair share”. This has to do with a specifically identified risk rather than general discrimination based on age. These restrictions are important to maintain the solvency and viability of medical schemes.

Some schemes prevent women who fall pregnant within nine months of joining the scheme from claiming for the pregnancy even though they pay full premiums

This point is more tricky, but it does again reflect a misunderstanding. “Full premiums” on an actuarial sound basis have probably not been paid, since the fair premium for a member who joins just to get pregnancy benefits and hasn’t contributed at other times would be much higher than the premium that is charged. This one is a little more grey and while I feel the rules are entirely fair, they may not be viewed that way by a particular judge on a particular day.

Some schemes require that members give three months’ notice when terminating their membership, whereas the act deems 20 business days to be reasonable

This might reflect the desire to not have members leave a scheme immediately after having utilized the maximum benefit available to them before joining another scheme. I don’t know how much of this behavior would ever happen, so this might also ultimately be changed.

Many schemes don’t enforce the allowed waiting periods for members joining. If some of these other changes were to be made, I would expect these provisions would be more regularly used. Of course, that is another of the problems cited with medical schemes arising from the CPA.

All in all, we may see some changes, but by and large these comments reflect a lack of appreciation for the actuarial realities of managing a health scheme with community rating.

Gaining new insight into insurer profitability through New Business Margin on Revenue

The Value of New Business written by an insurers is a good measure of the value created through sales activity over a certain period. It’s not the easiest number to interpret in terms of profitability though.

New Business Margin, which is the Value of New Business (VNB) as a percentage of the Present Value of New Business Premiums (PVNBP) is a common measure of profitability of that news business.

But it’s a flawed measure, especially when it comes to comparing product lines and insurers or even to understand the change in profitability from one period to the next. It uses and unequal yardstick to measure business.

New Business Margin on Revenue (NBMR) provides a significantly improved measure of profitability that can be used to compare margins across products, across insurers and across time. Further, it leads easily to a component analysis of the margin, adding additional insights to shareholders, brokers and regulators.

If you haven’t read my introductory post on New Business Margin on Revenue, it would be worthwhile doing so now – this post is going to illustrate the sort of results it provides in a practical, numerical example.

Example 1 considers how NBMR clarifies distortions from a change in mix of business.

Example 2 shows how more complex dynamics can be understood through a component analysis of NBMR. The spreadsheet showing the underlying calcs is attached at the end of this post. Continue reading