In this article, we delve into the enterprise profile of US medical professional liability (MPL) insurers and assess their investment performance relative to the broader US property and casualty (P&C) industry.
P&C insurers often shape their risk and return profiles around three key pillars:
- Sector allocation
- Credit quality
- Duration
However, our analysis shows that while MPL insurers and the broader industry share similarities in credit quality and duration, there are indications that the overall P&C industry outperforms MPL insurers in both overall net investment income and fixed income book yield. This pattern has persisted over the past decade, signaling a more conservative asset allocation approach adopted by MPL insurers. Within MPL writers, those taking on greater investment risk were generally able to achieve higher book yields, with larger companies more actively taking such risk.
Scope of Analysis
We use an MPL composite of 50 firms1 that primarily or exclusively underwrite MPL insurance. Commercial multiline insurers that also offer MPL products are not included in the composite. The MPL composite is compared to a US P&C industry composite of 443 companies that underwrite all P&C lines of business, excluding the ones in the MPL composite. All exhibits use statutory filing data as of December 31, 2022, from S&P Capital IQ Pro, supplemented by data from sources such as NEAM Analytics, Bloomberg, and ICE BofA.
MPL COMPOSITE’S ENTERPRISE PROFILE
Similar Investment Leverage and Lower Premium Leverage
Exhibit 1 compares the statutory surplus, total invested assets, and net premium written between the MPL composite and the P&C industry in the past three years. The MPL composite has a slightly higher investment leverage (invested assets-to-surplus ratio) than the P&C industry, with a ratio of 2.3x versus 2.2x as of year-end 2022. However, MPL writers are generally smaller sized relative to the broader P&C industry, based on invested assets. They also have a much lower premium leverage than the P&C industry, measured by the ratio of premium to surplus. Both groups saw a decline in statutory surplus in 2022, with the MPL composite showing lower growth rates in surplus, invested assets, and net premium than the P&C industry in the last three years.
Exhibit 1: Surplus, Invested Assets, and Premium Trend in 2020-2022
Source: NEAM, S&P Capital IQ Pro
*Compound Annual Growth Rate
A Look at the MPL Composite’s Asset Characteristics
Net Investment Income2 Trails the P&C Industry
Exhibit 2 displays the net investment income (%) of the MPL composite and P&C industry. For the past decade, the MPL composite has been materially below the P&C industry in net investment income. The gap between the two groups has widened recently, from 48 basis points in 2018 to 105 basis points in 2022.
Exhibit 2: Net Investment Income (%) 2013-2022
Source: NEAM, S&P Capital IQ Pro
More Allocations to Fixed Income and Fewer to Equities and Alternatives
As shown in Exhibit 3, the MPL composite has maintained a different asset allocation by sector compared to the P&C industry. The primary difference lies in the MPL composite’s consistently higher allocation to fixed income and lower allocation to equities over the past decade. The P&C industry has had more Schedule BA assets, although the MPL composite has gradually increased its share over time. It’s noteworthy that both the MPL composite and the P&C industry saw a reduction in equity holdings in 2022, in part due to the challenging market conditions.
Exhibit 3: Invested Assets Sector Composition 2013-2022
Source: NEAM, S&P Capital IQ Pro
Lower-Risk Assets as a Percentage of Surplus
We consider equities, fixed income assets with ratings below investment grade (lower than BBB rated), and Schedule BA assets as risk assets. Exhibit 4 displays risk assets as a percentage of surplus for both the MPL composite and the broader P&C industry. The MPL composite had risk assets of 61.2% of surplus as of year-end 2022, which was lower than the industry’s 85.5%. In 2022, equity holdings decreased for both groups, but it remained the predominant risk asset.
Exhibit 4: Risk Assets as a Percentage of Surplus 2013-2022
Source: NEAM, S&P Capital IQ Pro
Consistently Trailing Book Yield
As shown in Exhibit 5, the MPL composite’s fixed income portfolio had a lower book yield than the P&C industry in the last 10 years. The difference, which peaked at 39 basis points in 2016, has shrunk recently and was 17 basis points as of year-end 2022. Book yields rose in 2022 as insurers reinvested in higher market yields due to the Fed’s repeated rate increases in 2022. This reversed the declining book yield trend from 2018 to 2021.
Exhibit 5: Comparison of Fixed Income Portfolio Book Yield 2013-2022
Source: NEAM, S&P Capital IQ Pro
Exhibit 6 illustrates the gap in fixed income book yield between the MPL composite and P&C industry by sector. Over the past decade, the MPL composite had lower book yields than the industry in all but a few sectors, except for those such as such as commercial mortgage-backed securities (CMBS) and mortgage-backed securities (MBS). Private/Other and asset-backed securities (ABS) are the two sectors where the P&C industry outperformed the MPL composite the most in 2022.
Exhibit 6: Comparison of Fixed Income Book Yield by Sector 2013-2022 (MPL-P&C)
Source: NEAM, S&P Capital IQ Pro
Overweight Mortgage-Backed Securities and Underweight Government/Agency Bonds
The fixed income sector allocations for the MPL composite are shown in Exhibit 7. The MPL composite has gradually increased its holdings of corporate bonds and taxable municipal bonds over time, while the P&C industry more rapidly increased their allocations to government/agency bonds. The MPL composite differs from the P&C industry in having more MBS and corporate bonds but fewer government/agency and tax-exempt municipal bonds.
Exhibit 7: Comparison of Fixed Income Sector Allocations 2020-2022
Source: NEAM, S&P Capital IQ Pro
Similar Credit Quality to the P&C industry
Exhibit 8 illustrates the stability of overall credit quality for both the MPL composite and the broader P&C industry over time, as the average credit rating remained within the A+ to AA- range for both groups3. However, the composition of credit quality changed significantly over the past decade. MPL writers increased their exposure to BBB and lower than BBB (rated) bonds until 2021, when they reached their peak. In 2022, the Fed’s tightening policy prompted many MPL writers to shift their investments to higher-rated bonds, especially AAA bonds, to take advantage of rising rates from sectors such as MBS and ABS. Within the AAA-A band, there was also a gradual substitution of AA-rated bonds with AAA-rated bonds, indicating a preference for maintaining credit quality while allowing for tactical rotations.
Exhibit 8: Fixed Income Credit Quality Distribution 2013-2022
Source: NEAM, S&P Capital IQ Pro
Duration In Line with the P&C industry
Exhibit 9 displays the option-adjusted duration (OAD) by fixed income sector, comparing the MPL composite and the P&C industry. In the past 10 years, the OADs of the MPL composite and the P&C industry have been similar, with a maximum gap of 0.4 years in 2016. In 2022, the overall OAD of both groups increased slightly to 4.8 to 4.9. For the MPL composite, this was largely driven by the increased allocation to MBS, where OADs tend to extend in periods of rising interest rates. As of year-end 2022, MBS had the longest OAD among all sectors in the MPL composite.
Exhibit 9: Comparison of Fixed income Portfolio Option-Adjusted Duration (OAD) 2013-2022
Source: NEAM, S&P Capital IQ Pro
MPL Writers that Took More Risk Achieved Higher Yields
NEAM estimates a Risk Score based on duration, credit quality, and convexity as a way to measure and compare the investment risk of an insurer’s fixed income portfolio through a single metric. Exhibit 10 shows how the book yields of individual MPL writers vary according to NEAM’s Risk Score. The MPL composite’s median is marked by the red point, and individual writers are represented by colors mapped to investment size. Green-marked large-sized companies with assets exceeding $1 billion in the upper-right hand quadrant achieve higher yields at greater risk, reflecting potentially larger risk-taking by investing into comparably lower-rated, longer, and more negatively convex credit. Blue-marked small-sized companies with assets under $100 million, on the other hand, tend to invest into lower-yielding, safer portfolios. Orange-marked medium-sized companies with invested assets between $100 million and $1 billion appear more scattered in their risk/reward positioning, showing various levels of tolerance and capacity to take on risk.
Exhibit 10: MPL Writers’ Book Yields Against NEAM Risk Score
Source: NEAM, S&P Capital IQ Pro