Collective nouns for cats

In my ASSA convention presentation on systemic risk last week, I took pains to highlight the difference between real systemic risk and mere catastrophic claim risk or even concentration risk.

In this post I will cover these and other cats, the place of reinsurance including “feelings” and why this is hyper relevant for captives.

To demonstrate how even large general insurance catastrophes typically have no systemic implications for South Africa, I referenced the “2017 fire and storm claims”.

2017 Western and Southern Cape storm and fire claims

The media reported the following on these claims:

“Santam noted that the total insured damage has been estimated at around R3 billion, with economic losses (taking uninsured property into account) at significantly higher levels.

This was by far the worst catastrophe event in South African insurance history, with Santam client claims totalling around R800 million, of which R72 million related to the Cape Town property damage.”

So that all seems very intense. But then the story continues. Continue reading “Collective nouns for cats”

Credit Life Aside: banning sale of credit life alongside lending?

Some markets have banned sale of insurance alongside lending

Another way to deal with the problem of competition in credit life is to simply not permit the sale of insurance at the same time as the loan. This means that more providers will have an opportunity to make the sale since the lender doesn’t have the ability to slip the product in alongside the loan.

Some problems:

  • Overall this will increase acquisition costs as it is extremely cost efficient to distribute along with the loan granting process.
  • The lender is still in the best position to follow up with an outbound sales lead in the days or weeks after the loan has been granted (unless they are prohibited from selling at all, which is another option that can be considered)
  • Lenders may not be prepared to lend without the protection of credit life in place
  • The reality remains that for some lenders, for some loans and for some credit life policies, the product acts as a source of revenue rather than a risk mitigant. Without that extra revenue, the loan might not be viable due to risks and expenses of collecting the installments.

So this approach is not without its own troubles.

Island Life

There is a Mauritian insurer called Island Life. Best name ever for an insurance company.

I firmly believe in anthropogenic climate change. I am not an expert, but my reading has convinced me of the seriousness of the issues, the overwhelming evidence that it is humans at fault. Having young children makes me seriously concerned about our ability to remedy the mess we’re in for their sake.

Part of my very inwards focussed, selfish research was on the practical impact for where I live. Unfortunately for my cycling aspirations, this is current on the bottom slopes of Table Mountain.  Fortunately for my flood risk, the same.

The screen capture below is of an extreme, and hopefully not realistic, 30m rise in sea levels.  The website I used for visualising the impact of sea level rises makes no claims to accuracy, but it is interesting all the same.

Oranjezicht in Cape Town mostly stays above the water line even with 30m rise in sea level

Continue reading “Island Life”

Do Data Lakes hide Loch Ness Monsters?

I had a discussion with a client recently about the virtues of ensuring data written into a data warehouse is rock solid and understood and well defined.

My training and experience has given me high confidence that this is the right way forward for typical actuarial data.  Here I’m talking in force policy data files, movements, transactions, and so on.  This is really well structured data that will be used many times by different people and can easily be processed once, “on write”, stored in the data warehouse to be reliably and simply retrieved whenever necessary. Continue reading “Do Data Lakes hide Loch Ness Monsters?”

Credit Life regulations and reactions (3)

This is a short addition to parts 1 and 2.

The question as to whether the benefit payable under a credit life policy can or should include arrears payments.

The purpose of a credit life policy is to protect the policyholder, the lender, and the policyholder’s estate (not necessarily in that order) against death, disability or retrenchment. This is only effectively achieved if the entire amount owing under the credit agreement is paid off by the policy.

So as a starting point, it would make sense for arrears to be included. All the stakeholders in the arrangement want this.

Back to the legal stuff

What do the credit life regulations say? Continue reading “Credit Life regulations and reactions (3)”

Credit Life regulations and reactions (2)

In part 1 I discussed the implications of basing premiums on initial balance or declining balance for profitability and the threat of substitute policies.

In this post I want to discuss substitute policies again, talk about cover for self-employed persons and definitions of waiting periods.

What is a substitute policy

Substitute policies are one of the few drivers of real potential competition and therefore competitive markets for credit life in South Africa. That’s probably not the definition you were expecting but nevertheless it is true.

With some exceptions, credit life is not sold in a competitive or symmetrical environment and customers have little or no bargaining power.

 

A substitute policy is a policy from another insurer (not connected to the lender) that covers the same or similar benefits and legally must be accepted as a substitute for the cover required by the lender under the terms of the loan.

Historically, the rate of substitute policies was tiny. Often less than 1%. Lenders and their associated insurers weren’t exactly incentivised to make it an easy process. For smaller loans and therefore smaller policies, the incremental acquisition costs can be prohibitive.

Substitute policies are gaining momentum

I am aware of several players specifically targeting existing credit life customers and aiming to switch these customers to their own products.

This has been enabled through:

  • standardising of credit life policies
  • bulking of many different small credit life policies into a larger one that is more cost effective to acquire and administer
  • technology (digital / online especially but also call centres) that can moderate costs
  • the growing awareness of how profitable these policies often are for a standalone insurer, even at the various caps imposed.

Lenders may need to supplement revenue on high risk customers because interest rate caps apply, but the stand alone insurer is focussed on a reasonable underwriting result, not the level necessary to offset costs elsewhere.

What counts as a substitute policy / minimum prescribed benefits

A substitute policy simply needs to cover the minimum benefits from section 3 of the credit life regulations. This covers death, permanent disability, temporary disability and unemployment or loss of income.

These regulations can be difficult to interpret, but ultimately are clear: Continue reading “Credit Life regulations and reactions (2)”

ERP update – delayed response to a blog reader

I reader asked why so many practitioners use high Equity Risk Premiums in their valuations and fairness opinions.

In particular, he mentioned a specific assumption set he had seen including:

  • ERP of 6.8%
  • company specific risk premium of 4%

He also commented on how haphazard the use of risk premiums can be and referenced a few sources I’ve used myself.

The ERP of 6.8% does seem high. However, it really isn’t possible to comment on the specifics of the company specific risk premium without knowing the company.

Although I haven’t updated my research on this in a few years, in my own work I still generally stick with a range of 3% to 5% for an ERP, before considering company specific factors, liquidity, and so on. Historically / empirically estimated ERPs shouldn’t change frequently since the time series used is long. Another few years on a 20 year estimation period shouldn’t have much impact.

Why some practitioners persist in using too-high ERP estimates

This delves into the area of philosophy, but here are my top reasons (a post from 2011 also covers this): Continue reading “ERP update – delayed response to a blog reader”