Infrastructure as an asset class is hardly a new idea. Retirement funds are attracted to the promise of higher turns, long-dated cash flows, and consistency with increasingly important ESG factors.
Insurers, unlikely retirement funds, have to hold risk-based capital against the risks inherent in their investments. This makes it more difficult to underestimate the risks and services as a deterrent to large allocations.
Infrastructure assets can play a part in linked funds for life insurers, where the investment risk is passed straight back to the policyholders and no market risk capital is held by the insurer.
Under this policy construction, the risks can be similar to a defined benefit retirement fund. These include the practical challenges of pricing and valuation, and conduct and fairness issues of managing investment and divestment prices, liquidity with large withdrawals and transparency of pricing.
These liquidity constraints also make this a poor investment for non-life insurers or smaller life insurers, especially where they primarily write risk business.
Where are alternative assets used in insurance?
The three areas where infrastructure assets have a meaningful place to play in insurance are:
There are several postulated reasons, including generally higher mortality of males, but also under-registration of female births, and sex-selective abortion and infanticide of female babies. Both of those last two could be attributed to China’s one-child policy. China’s ratio is still 1.15:1 compared to Sierra Leone at 1.018. (Zimbabwe is close to bottom at 1.02 with South Africa not much greater at 1.03.)
The second reason gender at birth is not a coin toss is less well known. The gender of a child is not independent of the gender of the previous child. The impact is small and best-studied on (non-human) animals. One thought is that the “condition” of the mother has an impact on the gender of the child. Other possible factors include frequency of intercourse and paternal age.
The US market is expensive. Less expensive than it was a few days ago before the yield curve inverted and the S&P500 had several days of large losses, but expensive still. But how expensive is it really?
The Cyclically Adjusted Price Earnings (CAPE) or Shiller PE ratio is 28.5. Although this is down from January 2018 where it stood at 33.3, the only other time’s it has been this high was in January 2000 (followed by years of poor returns) and Black Tuesday (of Great Depression fame.)
The standard PE ratio of 21.1 is high too, but not perhaps to the same degree as the CAPE ratio. This indicates that current earnings and relatively higher (compared to their historical average) than the average of earnings over the last 10 years (compared to the historical average of that measure over time.) This is, after all, the point of the CAPE ratio – it recognises that earnings are cyclical and that a simple PE ratio isn’t that predictive. In other words, recent earnings are high by compared to the last ten years.
Still, none of this is really good news for future performance on the S&P. However, is the situation really as dire as it seems? What impact did the 2008/2009 earnings period have? Do the extremely low interest rates in the US have a part to play here?
“My voice is my password” and similar phrases have begun to be used for secure voice authentication for banks and health insurers and other critical services that require security and privacy.
It’s likely that several of your own service providers will roll this out in the next couple of years. Progress, right?
The problem is that in the short time since voice identification models have become mainstream and slick enough to be used in call centers, voice spoofing technology has exploded. It is now trivial to create voice tracks saying whatever you want them to say without human ears being able to tell any difference, and increasingly, fooling the voice authentication models too.
Worse, we are probably only a few years from trivial video spoofing with the same qualities.
I support the idea of moving away from passwords and improving security, but I struggle to understand how voice authentication is anything other than a tiny blip in the timeline before it becomes the easiest vector for fraud yet.
Setting discount rates is a crucial and subjective exercise. This is true for life insurance embedded values too.
Many researchers are comfortable with a range for Equity Risk Premiums of between 3% and 5%. Many corporate finance practitioners use a range from 5% to 8% or even higher. My nearly eight-year-old blog post on mis-estimating the ERP covered these differences in detail.
This post is a little different. Forget about what theory says, what are the implications of using a high risk discount rate (RDR) when calculating embedded values and then trying to maximise value.
Solvency II and SAM suggest a 6% (excess over risk-free) cost of non hedgeable capital. Most South African insurers calculating real-world embedded values use risk-free + 3.5% as their RDR.
I have never owned Steinhoff shares. I was surprised then, when going through some old blog uploads (dealing with a separate copyright issue that I may touch on in another post) to find this share price graph of Steinhoff from 2007
Am I going to invest in Steinhoff? Well, no, not yet, not until I have actually done some proper research into the fundamentals of the company. And also not until I have understood the reasons for the decline in price over the last year properly. If the market thinks they are worth less, I had better know why the market thinks so before I disagree too strongly.
Having said that, I pay careful attention to knowledgeable insiders when they put their money where there collective mouths are and vote with their personal wealth and risk appetites that a company is a good bet.
I never sufficiently understood the fundamentals of the business and how it related to their accounts and valuation. Score one for then not investing.
However, I was also saying that I saw value in following directors’ dealing and possible positives from directors investing in their own stock. In the case of Steinhoff, it’s hard to separate out:
true belief in their business;
attempts to demonstrate confidence in the shares (whether or not the confidence was actually held); from
artificial attempts to prop up the share price
I have less time for fundamental analysis these days so low cost trackers is more my flavour. Given my mixed success in the past, perhaps that’s just as well.
I walk my daughter to school many mornings. On the way up the hill, we play a game. I tell three stories and she has to tell me which is untrue.
So far it’s clearly been too easy as she gets them every time. That’s okay, I still plan to beat her at Carcassonne someday. It turns out it’s quite a fun way to tell her slightly unbelievable stories about my life as well as teaching her to think about whether what she’s told is true or not.
Expectations of future UK life expectancy have declined for several years now. This is not to say that current life expectancy has decreased, but rather than estimates of future mortality improvements are being lowered, pushing down future estimated life expectancy.
The thing is, it’s no utterly crazy to think about extreme life extension for currently living people. We don’t need to solve ageing in the next 40 years for a 40-year-old to live to 200 or 1,000. In the next 40 years, we need to extend life by enough time to allow the research for the next 40-year extension and so on.
I’m feeling a little old myself with a milestone birthday coming up in a couple of days. For now, 50 years still feels like a long time, although Asimov’s The Foundation series and the Long Now crowd would likely shame me into thinking I am a super myopic actuary.