Category Archives: Insurance Market

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

ILS price check: 20% more for 20% less

Guy Carpenter issued an update today on the Cat Bond market stating that the “influence from direct capital market participation in reinsurance programs, coupled with catastrophic insured losses well below historical averages in 2013, put significant pressure on global catastrophic reinsurance pricing”. They also made the point that “spreads have tightened between indemnity and other trigger types, sponsors were inclined to take advantage of investors’ openness to indemnity triggers to reduce coverage basis risk without a material increase in pricing relative to non-indemnity trigger pricing”.

The always interesting Global Property Catastrophe ROL index showed an 11% fall at January 2014.

I find it informative to compare current pricing to the past and the latest deal from Chubb covering US wind and quake risk from the NorthEast is hot off the press. East Lane Re VI increased in size to $270 million due to demand and got pricing at the bottom of the (already revised) pricing range at 275 bps. Thus the “20% more for 20% less” of the title of this post. The deal attaches in excess of $3 billion, above any historical storms (the largest of which is the 1938 New York storm at $2.9 billion), with a modelled 0.87% attachment and 0.77% exhaustion probability.

Although I am not sure if all of the conditions are exactly the same, it looks like Chubb got a good deal (for 4 years) compared to Class A of the East Lane IV Ltd, their expiring 2011 deal, which also covered US wind and quake risk in the NorthEast in excess of $3 billion. That one paid a 575 bps coupon, a whole 300 bps above the pricing they got this month!

Insurance ROEs earned the hard way

Munich kicked off the year end reporting season for insurers this week with a pre-announcement of results that beat their guidance. For non-life reinsurance, low large and catastrophe losses plus 5% of prior year releases mean that the 92% combined ratio is only 1% higher than 2012 for Munich Re despite the weak pricing market.

I am expecting to see strong non-life results across the market as it looks like attritional loss ratios for 2013 are lower than average which, with low catastrophe losses, should make for low combined ratios in 2013.

For specialty nonlife insurers and reinsurers, I would expect combined ratios to come in the mid to high eighties on average with ROEs in the low to mid teens. The relatively low investment returns are hurting ROEs which in the past would of given high teens or low twenties for such underwriting ratios.

The business models of the European composite reinsurers are not as sensitive to combined ratio with the life side providing more stable earnings. I would expect most of the large composite reinsurers to come in in the low 90s or high 80s (Munich’s figure was 92%) whilst giving ROEs similar to their non-life specialty brothers in the low to mid teens.

The graph below illustrates that todays combined ratios don’t mean the high ROEs they once did (2013 figures are as at Q3).

click to enlargeInsurance ROEs and Combined Ratios 2004 to 2013

 

ILS Fund versus PropertyCat Reinsurer ROEs

Regular readers will know that I have queried how insurance-linked securities (ILS) funds, currently so popular with pensions funds, can produce a return on equity that is superior to that of a diversified property catastrophe reinsurer given that the reinsurer only has to hold a faction of its aggregate limit issued as risk based capital whereas all of the limits in ILS are collaterised. The recent FT article which contained some interesting commentary from John Seo of Fermat Capital Management got me thinking about this subject again. John Seo referred to the cost advantage of ILS funds and asserted that reinsurers staffed with overpaid executives “can grow again, but only after you lay off two out of three people”. He damned the traditional sector with “these guys have been so uncreative, they have been living off earthquake and hurricane risks that are not that hard to underwrite.

Now, far be it from me to defend the offshore chino loving reinsurance executives with a propensity for large salaries and low taxation. However, I still can’t see that the “excessive” overheads John Seo refers to could offset the capital advantage that a traditional property catastrophe reinsurer would have over ILS collateral requirements.

I understood the concept of ILS structures that provided blocks of capacity at higher layers, backed by high quality assets, which could (and did until recently) command a higher price than the traditional market. Purchasers of collaterised coverage could justify paying a premium over traditional coverage by way of large limits on offer and a lower counterparty credit risk (whilst lowering concentration risk to the market leading reinsurers). This made perfect sense to me and provided a complementary, yet different, product to that offered by traditional reinsurers. However, we are now in a situation whereby such collaterised reinsurance providers may be moving to compete directly with traditional coverage on price and attachment.

To satisfy my unease around the inconsistency in equity returns, I decided to do some simple testing. I set up a model of a reasonably diversified portfolio of 8 peak catastrophic risks (4 US and 4 international wind and quake peak perils). The portfolio broadly reflects the market and is split 60:40 US:International by exposure and 70:30 by premium. Using aggregate exceedance probability (EP) curves for each of the main 8 perils based off extrapolated industry losses as a percentage of limits offered across standard return periods, the model is set up to test differing risk premiums (i.e. ROL) for each of the 8 perils in the portfolio and their returns.  For the sake of simplicity, zero correlations were assumed between the 8 perils.

The first main assumption in the model is the level of risk based capital needed by the property catastrophe reinsurer to compete against the ILS fund. Reviewing some of the Bermudian property catastrophe players, equity (common & preferred) varies between 280% and 340% of risk premiums (net of retrocessions). Where debt is also included, ratios of up to 400% of net written premiums can be seen. However, the objective is to test different premium levels and therefore setting capital levels as a function of premiums distorts the results. As reinsurer’s capital levels are now commonly assessed on the basis of stressed economic scenarios (e.g. PMLs as % of capital), I did some modelling and concluded that a reasonable capital assumption for the reinsurer to be accepted is the level required at a 99.99th percentile or a 1 in 10,000 return period (the graph below shows the distribution assumed). As the graph below illustrates, this equates to a net combined ratio (net includes all expenses) of the reinsurer of approximately 450% for the average risk premium assumed in the base scenario (the combined ratio at the 99.99th level will change as the average portfolio risk premium changes).

click to enlargePropCAT Reinsurer Combined Ratio Distribution

So with the limit profile of the portfolio is set to broadly match the market, risk premiums per peril were also set according to market rates such that the average risk premium from the portfolio was 700 bps in a base scenario (again broadly where I understand the property catastrophe market is currently at).

Reviewing some of the actual figures from property catastrophe reinsurer’s published accounts, the next important assumption is that the reinsurer’s costs are made up of 10% acquisition costs and 20% overhead (the overhead assumption is a bit above the actual rates seen by I am going high to reinforce Mr Seo’s point about greedy reinsurance executives!) thereby reducing risk premiums by 30%. For the ILS fund, the model assumes a combined acquisition and overhead cost of just 10% (this may also be too light as many ILS funds are now sourcing some of their business through brokers and many reinsurance fund managers share the greedy habits of the traditional market!).

The results below show the average simulated returns for a reinsurer and an ILS fund writing the same portfolio with the expense levels as detailed above (i.e 30% versus 10%), and with different capital levels (reinsurer at 99.99th percentile and the ILS fund with capital equal to the limits issued). It’s important to stress that the figures below do not included investment income so historical operating ROEs from property catastrophe reinsurers are not directly comparable.

click to enlargePropCAT Reinsurer & ILS Fund ROE Comparison

So, the conclusion of the analysis re-enforces my initial argument that the costs savings cannot compensate for the leveraged nature of a reinsurer’s business model compared to the ILS fully funded model. However, this is a simplistic comparison. Why would a purchaser not go with a fully funded ILS provider if the product on offer was exactly the same as that of a reinsurer? As outlined above, both risk providers serve different needs and, as yet, are not full on competitors (although this may be the direction of the changes underway in the market currently).

Also, many ILS funds likely do use some form of leverage in their business model whether by way of debt or retrocession facilities. And competition from the ILS market is making the traditional market look at its overhead and how it can become more cost efficient. So it is likely that both business models will adapt and converge (indeed, many reinsurers are now also ILS managers).

Notwithstanding these issues, I can’t help conclude that (for some reason) our pension funds are the losers here by preferring the lower returns of an ILS fund sold to them by investment bankers than the higher returns on offer from simply owning the equity of a reinsurer (admittedly without the same operational risk profile). Innovative or just cheap risk premia? Go figure.

Another look across insurance cycles

Following on from a previous post on insurance cycles and other recent posts, I have been looking over the inter-relationship between insurance cycles in the US P&C market, the Lloyds of London market and the reinsurance market. Ideally, the comparisons should be done on an accident year basis (calendar year less prior year reserve movements) with catastrophic/large losses for 2001/2005/2011 excluded but I don’t (yet) have sufficient historical data to make such meaningful comparisons.

The first graph shows calendar year combined ratios in each of the three markets. The US P&C figures contain both consumer and commercial business and as a result are less volatile with the other markets. For example, Lloyds results are from specialty business classes like energy, marine, credit & surety, A&H, specialty casualty, excess and surplus (E&S) lines and reinsurance. The reinsurance ratios are those for most reinsurers as per S&P in their annual global reports. For good measure, I have also included the US real interest rates to show the impact that reduced investment income is having on the trend in combined ratios across all markets. Overall, ratios have been on a downward trend since the early 1990s. However, if catastrophic losses and reserve releases are excluded ratios have been on an upward trend since 2006 across Lloyds and the reinsurance markets. Recent rate increases in the US such as the high single digit rate increases in commercial property & workers comp (see Aon Benfield January report for details on US primary rate trends) may mean that the US P&C market comes in with a combined ratio below 100% for the full 2013 year (from 102% and 106% in 2012 and 2011 respectively).

click to enlargeInsurance Cycle Combined RatiosAs commented on above, the US P&C ratios cover consumer and commercial exposures and don’t fully show the inter-relationship between the different business classes across that market. The graph below shows the calendar year ratios in the US across the main business classes and paint a more volatile picture than the red line above.

click to enlargeUS Commercial Business Classes Combined Ratios