Tag Archives: credit cycle

Softening but not soft

The speed dating jamboree that is the annual Monte Carlo Reinsurance Rendezvous kicks off on the 6th September where buyers and sellers (i.e. underwriters and brokers, with those clients that can afford the hotel rates) of speciality insurance and reinsurance kick off their discussions ahead of drawn-out negotiations for the January 2026 renewal season. Each side will earnestly set out their stall, with the US hurricane season as the backdrop (with the extent of any insured catastrophe losses playing a part in how actual negotiations progress towards the year-end), on the degree of rate, term, and condition changes for each client and/or client group.

The fact that rates have peaked is now beyond doubt with even the losses from the California wildfires failing to shift the downward trend in rates. In January, David Flandro of reinsurance broker Howden Re stated “if it wasn’t obvious already, we are now firmly in the hard market softening phase of the rating cycle” with the exhibit below in a report entitled “Passing the Pricing Peak” illustrating the point.

Metrics from Lloyd’s H1 presentation by new CEO Patrick Tiernan focus on the adequacy of rates in the context of the recent decline in rates, as per the exhibit below.

(Re)insurers and other commentators such as rating agencies are voraciously stressing the need for market discipline. A common defence from (re)insurers, as articulated by Flandro, is that “if you look at all lines, or most lines, we are still harder in terms of pricing than we were five years ago”. AM Best stated that “the lessons of past cycles suggest caution, but reinsurer sentiment has ensured tighter exposure management and market disciple in the current cycle” and asked, “the question now facing the industry is whether the improvements in terms and conditions represent a durable shift”. Fitch adjusted its outlook for the reinsurance sector to “deteriorating” stating that “softer pricing conditions and rising claims costs will pressure underwriting margins, though profitability remains strong by historical standards.” Munich Re CEO dismissed any talk of any meaningful softening in rates, stating “there is no soft market”. On the buyer side, Gallagher Re CEO highlighted that for property CAT business supply is now “materially outpacing demand”. There will be many such perspectives aired in articles and interviews over the coming week laying out the battle lines in these pre-negotiations.

A pickup in M&A is another sign that firms understand growth will not come from rates. Within the past few weeks, Sompo announced a deal to purchase Aspen at 1.3 times the tangible book and Skyward announced a deal for the Apollo Managing Agent in Lloyd’s at approx 8.5 times EBITDA, both sensible prices.

On my part, I will offer some of my thoughts on the subject in the remainder of this post through the lens of results and data over past decades, whilst updating some of the previous thinking detailed on this site (which are several years old now).

The first issue is to highlight the level of profitability the specialty insurance and reinsurance sector has enjoyed over the past few years. The exhibit below illustrates the heightened levels of ROE achieved by reinsurers over the cost of capital in recent years, according to a recent Gallagher Re mid-year report. Many would argue that such returns of 12-10% above the cost of capital are justified to compensate for the heightened risk environment of today given the climate, geopolitical, and macroeconomic issues at play.

By way of further illustrating the level of recent profits in the sector, Lloyd’s of London has just announced their H1 2025 results and the pre-tax profits of Lloyd’s from 2023, 2024 and H1 2025 equal the aggregate profit and losses from the previous 15 years (from 2007 to 2022). Lloyd’s has not had the two back-to-back return on capital years of 20%+ it had in 2023 and 2024 since 2006 and 2007.

The introduction of IFRS 17 reporting for many specialty insurers and reinsurers has complicated comparative, historical and aggregate analysis in the sector so I will revert to Lloyd’s historical results as a benchmark for the sector’s history. Obviously, Lloyd’s results carry a significant degree of caution when used as a proxy for the whole sector and I would caveat their use by referring to a (now 10-year-old) post called “Lessons from Lloyds”. An updated breakdown of the Lloyd’s combined ratio from 1993 to H1 2025 is below.

 30 year history of Lloyd's combined ratio, history of Lloyds of London

To illustrate the specialty underwriting cycle, I have discounted these combined ratios to adjust for the time value of money applicable for each year (i.e. a discount factor equal to the average annual 1 year T-Bill rate for each year over a duration of 24 months). The next metric I used to represent changes in market rates is the Guy Carpenter ROL index for property CAT reinsurance. Although this is clearly not representative of all specialty lines (see pricing and rate exhibits above) it gives a directional sense of rates for the overall sector, and it is measured on a consistent basis over an applicable long-term period. Combining these metrics with the inflated historical CAT insured losses for the post preceding this one gives the following graphic.

Specialty insurance cycle

In a highly unscientific way, I judgementally selected an ROL index base of 250 for the graphic as representing a level of adequacy akin to an 85% discounted combined ratio (as per 1996, 2003, 2009, and 2013). A 250 base indicates that the current 2025 index level has a further 7% to fall before becoming “inadequate”. This selection does assume that the sector has historically been able to adjust T&Cs, specifically attachment levels, to stay ahead of trend changes in insured CAT losses (at approx. 6-9% per year recently) due to factors such as loss inflation and climate change (an obviously BIG assumption!).

So, what does the above graphic illustrate? Accepting the (vast) limitations of my simplistic analysis, it indicates that the market today is at a similar stage in the rate cycle as we were in 2007 and 2014 (I would discount the 1990’s as the wild west in terms of London market underwriting behaviour). However, as highlighted by Beazley CEO Adrian Cox “in contrast to the previous softer cycle, there is a fundamental difference in today’s environment; the claims environment is active in respect to both frequency and severity, and uncertainty is elevated”. In the 2007 and 2013 years and the years that followed each, insured CAT losses were relatively low which fed the subsequent declines in rates. The CAT losses of 2011 and 2017 represented the bottom of each of the soft cycles albeit that the peak of 2012 and 2013 were short lived and it took a full 5 years over 2018 to 2022 for rates to get to an “adequate” level again.

Most (re)insurers would agree wholeheartedly in public with Cox when he says, “rate discipline is essential”. However, I suspect brokers and clients in Monte Carlo will be pushing hard to reduce rates further given the level of recent profits from the sector. Discipline but not yet will be the mantra and the level of insured losses (CAT or otherwise) over the remainder of 2025 will, I suspect, dictate how much softening of the current hard market will actually result in the January 2026 renewals and through 2026.

As a postscript, I also updated the graphic on underwriting and credit cycles to see if there were any further insights to be had, as below.

Specialty underwriting and credit cycle

The first thing to note is that credit and insurance cycles can be driven from the same event – 9/11 and COVID are obvious applicable cases. The graphic shows that the credit cycles over the past 20 years do not obviously influence the underwriting cycles with insured CAT losses being a much more relevant factor in the underwriting cycle.

The lack of a rush of new capital into the sector following major loss years have been an important factor over the past 20 years in shaping the character of underwriting cycles although economic and interest rate cycles do influence the level of capital which comes into the ILS market. It is interesting to note that with interest rates on a downward track currently, the appetite for CAT related returns from investors is again playing a part in the current availability of reinsurance, particularly retro, capacity. Memories can be short and it looks like it may take more CAT losses to reinforce to current ILS investors the risk they are taking on and the curse of “uncorrelated” tail exposure.

Finally, the impact of the policies of the mad Orange King and his sycophants, whom a wise commentator recently generously called “economic morons”, may just result in a return of a big beautiful credit crash akin to those of the past in the coming months and years which, were it to occur, would undoubtedly negatively impact everybody including (re)insurers.

It will be intriguing to see exactly how the 2026 renewal negotiations play out over the coming weeks and months.

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Bumpy Road

After referring to last year’s report in the previous post, the latest IMF Global Financial Stability Report called “A Bumpy Road Ahead” was released yesterday. Nothing earth-shattering from the report when compared to previous and current commentary. The following statements are typical:

“Many markets still have stretched valuations and may experience bouts of volatility in the period ahead, in the context of continued monetary policy normalization in some advanced countries. Investors and policymakers should be cognizant of the risks associated with rising interest rates after years of very easy financial conditions and take active steps to reduce these risks.”

and

“Valuations of risky assets are still stretched, with some late-stage credit cycle dynamics emerging, reminiscent of the pre-crisis period. This makes markets exposed to a sharp tightening in financial conditions, which could lead to a sudden unwinding of risk premiums and a repricing of risky assets. Moreover, liquidity mismatches and the use of financial leverage to boost returns could amplify the impact of asset price moves on the financial system.”

With the US 10 year breaking 2.9% today and concerns about a flattening yield curve, the IMF puts global debt at $164 trillion or 225% of GDP (obviously a different basis from the IIF’s estimate of global debt at $237 trillion or 318% of GDP) and warns about the US projected debt increase due to its “pro-cyclical policy actions”.

In a chapter the IMF calls “The Riskiness of Credit Allocations” it presents an interesting graph, as below, using its financial conditions index which uses multiple inputs constructed using a methodology that’s wonderfully econometrically complex, as is the IMF way.

click to enlarge

The IMF warn that “a variety of indicators point to vulnerabilities from financial leverage, a deterioration in underwriting standards, and ever more pronounced reaching for yield behaviour by investors in corporate and sovereign debt markets around the world”.

Munich’s Underwriting Cycle

Munich Re had a good set of results last week with a 12.5% return on equity on a profit of €3.3 billion (with the reinsurance business contributing €2.8 billion of the profit). A €1 billion share buyback was also announced contributing to the ongoing shareholder friendly actions by industry players. Munich is targeting €3 billion for 2014 but warned of challenges ahead including “the lingering low-interest-rate environment, increasing competition in reinsurance, and changes in demand from clients in primary insurance”.

Torsten Jeworrek, Munich Re’s Reinsurance CEO, cited tailor-made solutions as a strength for Munich highlighting “multi-year treaties (occasionally incorporating cross-line and cross-regional covers), retroactive reinsurance solutions, transactions for capital relief, comprehensive consultation on capital management, and the insurance of complex liability, credit and large industrial risks”.

Whilst looking through the 2013 report, I noticed historical calendar year combined ratios (COR) for the P&C business (reinsurance & primary) including and excluding catastrophes. I dug up these figures going back to 1991 as per the graph below. A small amount of adjustment was needed, particularly in relation to the 24.3% and 17.1% of deterioration for 2001 and 2002 relating to 9/11 losses (which I included as catastrophes in the CaT ratio for those years). As with a previous post on underwriting cycles, I then “normalised” the COR excluding catastrophes for the changes in interest rates using a crude discount measure based upon the US risk free rate for each calendar year plus 150 bps over 2.5 years. That may be conservative, particularly for the 1990s where equities were a bigger part of European’s asset portfolio. I then added the (undiscounted) CaT ratio to the discounted figures to give an idea of the historical underwriting cycle.

click to enlargeMunich Underwriting Cycle

The “normalised” average discounted COR (excluding CaT) since 1991 is 87% and the average over the past 10 years is 83%. The standard deviation for the series since 1991 is 6% and for the last 10 years 4% indicating a less volatile period in recent years in core ratios excluding catastrophes.

The average CaT ratio since 1991 is 7% versus 9% over the past 10 years. The standard deviation for the CaT ratio since 1991 is 8% and for the last 10 years 9% indicating a more volatile period in recent years in CaT ratios.

Adding the discounted CORs and the (undiscounted) CaT ratios, the average since 1991 and over the past 10 years is 95% and 92% respectively (with standard deviation of 11% and 9% respectively).

As Munich is the largest global reinsurer, the ratios (reinsurance & primary split approx 80%:20%) above represent a reasonable cross section of industry and give an average operating return of 5% to 8% depending upon the time period selected. Assuming a 0.5% risk free return today, that translates into a rough risk adjusted return as per the Sharpe ratio of 0.44 and 0.80 for the period to 1991 and over the past 10 years respectively. Although the analysis is crude and only considers operating results, these figures are not exactly earth-shattering (even if you think the future will be more like the last 10 years rather than the longer term averages!).

Such results perhaps explain the growing trend of hedge funds using reinsurance vehicles as “float” generators. If the return on assets over risk free is increased from the 150 bps assumed to 300 bps in the analysis above, the Sharpe ratios increase to more acceptable 0.73 and 1.13 respectively. And that ignores the tax benefits amongst other items!

As an aside, I again (as per this post) compared the underlying discounted COR (excluding catastrophes) from Munich against a credit index of global corporate defaults (by originating year as a percentage of the 1991 to 2013 average) in the graph below. As a proxy for the economic & business cycles, it illustrates an obvious connection.

click to enlargeMunich Underwriting & Credit Cycle

Underwriting and Credit Cycle Circles

An article from Buttonwood in March reviewed a book by Thomas Aubrey – “Profiting from monetary policy – investing through the business cycle”. Aubrey argues that credit cycles are better predictors of equity and asset prices rather than economic growth. Differentials between the cost of capital and the return on capital drive capital supply.

In previous presentations on the insurance sector and the factors affecting underwriting cycles, I have used the credit cycle as an explanation for demand and supply imbalances. Given the current influx of yield seeking capital into the wholesale insurance market, by way of new risk transfer mechanisms in the ILS sector, and the irrational cost of capital driven by loose monetary policy around the world, Aubrey’s arguments make sense.

Using the calendar year combined ratios of the Lloyds of London insurance market as a proxy for the wholesale market, discounting such ratios at the risk free rate for each year with an assumed payout duration, and comparing these to an index of S&P defaults by origination year illustrates the relationship.

Underwriting & Credit CyclesThe more recent impact of natural catastrophes from 2005 and 2011 illustrates the higher concentration of shorter tail business lines in the past decade as interest rate reductions make longer tail lines less attractive.

Of course, no one factor drives the insurance cycle and there may be a degree of circularity in this picture. Many of the losses at Lloyds in the 1980s and 1990s came from asbestos and pollution claims, issues which drove many companies into insolvency. There is also a circularity between the insurance losses from the events of 9/11 and the economic impact following the bursting of the internet bubble. In addition, there are limitations in comparing calendar year ratios which includes reserve deterioration (particularly from asbestos years) against defaults by origination. Notwithstanding these items, it’s an interesting graph!