Abstract
Using a quasi-natural experiment, we examine how demutualisation affects demutualised insurers’ capital, organisational flexibility and alignment of managerial incentives post-demutualisation. First, our results show demutualised insurers have faster surplus growth than matching insurers post-demutualisation. However, the surplus growth differs between demutualised insurers with and without surplus notes. Specifically, the evidence shows that demutualised insurers with surplus notes experience long-term surplus growth, while demutualised insurers without surplus notes experience short-term surplus increases. Second, we find that increased organisational flexibility facilitates merger and acquisition activities for demutualised insurers and helps them to pursue growth and diversification. We find that 51% of demutualised stock insurers become targets in the conversion year. Finally, we find that demutualised insurers have lower underwriting expenses and underwrite more in commercial lines post-demutualisation. Overall, our evidence shows that demutualisation has a positive impact on surplus growth, organisational flexibility and the alignment between managerial incentives and owners' interests.
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Notes
Except for investor surplus notes which are usually issued by financially strong insurers. There is only one insurer issuing investor surplus notes in our sample.
Issuing surplus notes is the only way to raise equity capital externally for mutual insurers and the amount cannot exceed 15% of the insurer’s surplus (Belth 1996).
Blockholders in the finance literature are generally defined as stockholders who hold more than 5% of the stock of a company.
Since 2008, there have been some other demutualisation cases. For example, Federal Life Mutual Holding Company demutualised in December 2018. Economical insurance, a P–L insurer in Canada, is under the demutualisation process now and Dai-ichi Mutual Life Insurance Co., the second-largest life insurer in Japan, demutualised on 1 April 2010. Demutualisation does not occur only in the insurance industry but also in other financial industries (e.g. Mastercard, Visa, etc.) and stock exchanges (e.g. New York Stock Exchange).
We focus on the prior two methods since we only observe these two in our sample.
Some transactions are paid by a mixture of stocks and cash.
It should be noted that we use cross-sectional regressions rather than panel data regressions.
SNL Financial data has now joined forces with S&P Capital IQ to form S&P Global Market Intelligence.
We start in 1996 because no electronic database is available before 1996. It would be very difficult to find matching firms without an electronic database.
The sample includes reciprocals since they are now not distinguishable from mutuals (Cummins and Weiss 1993).
The reason we match at t = − 1 is that treatment insurers (demutualised insurers) and non-treatment insurers (the matching mutuals) should have similar characteristics right before demutualisation.
This study uses mutual insurers as matching insurers. One may suggest that we should use stock insurers. We believe that using stock insurers as matching firms may not be appropriate because we want to examine the differences with and without the benefits of demutualisation.
We excluded eight demutualised insurers while doing the univariate and multivariate analyses due to missing data on the matching criteria.
Two demutualised insurers drop out of the sample since year 3 and another one since year 4. We also use the sample of 28 demutualised insurers and the matching mutuals with five-year complete data and the results are similar. We do the same for both univariate and multivariate analyses.
The dependent variables are cumulative. Surplus change (ΔSurplus− 1,t) is defined as Surplust/Surplus− 1–1, where t stands for years 1, 2, 3, 4 and 5. For example, ΔSurplus− 1,5 is defined as changes in surplus from t = − 1 to t = 5. Specifically, ΔSurplus− 1,5 = Surplus5/Surplus− 1–1. For each time period, we run a regression with the dependent variable ΔSurplus− 1,t. We run five regressions in total.
It is observed that the demutualised insurers drop a large number of lines in year 5. The result is driven by one demutualised insurer, Milwaukee Insurance Company, who dropped 15 lines in year 5. It could be a strategic change in the line of business since it merges with another insurer and adds new lines in year 4.
10.35 is the sample average standard deviation of loss ratio for year 3.
To address the concern about the PSM method, we conduct regression analyses with control variables. Pan and Bai (2015) review PSM and state that “propensity score matching plus regression with controlling for covariates in the outcome analysis will produce robust estimates of treatment effects regardless of the choice of propensity score matching methods.” Note that we try to include all important control variables. If we omit important variables, then PSM does not guarantee the correct result.
The results are available upon request.
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Appendices
Appendix 1: Demutualised insurers in the property–liability insurance industry
Property–liability mutual | Demutualisation year | Inc. state |
---|---|---|
Goschenhoppen-Home Mutual Insurance Co | 1997 | PA |
Old Guard Mutual Fire Insurance Co | 1997 | PA |
Old Guard Mutual Insurance Co | 1997 | PA |
Patrons Oxford Mutual Insurance Co | 1997 | ME |
Select Risk Mutual Insurance Co | 1997 | PA |
Allegheny Mutual Casualty Co | 1998 | PA |
Compensation Mutual Insurance Company | 1998 | ME |
FCCI Mutual Insurance Co | 1998 | FL |
Pioneer Mutual Insurance Co. (NY) | 1998 | NY |
Farmers Casualty Company Mutual | 1999 | IA |
Lakeland Mutual Insurance Company | 1999 | PA |
Medical Inter-Insurance Exchange of New Jersey | 1999 | NJ |
Michigan Educational Employees Mutual Insurance Co | 1999 | MI |
Pennsylvania Millers Mutual Insurance Co | 1999 | PA |
The Millers Mutual Fire Insurance Co | 1999 | TX |
FCCI Commercial Insurance Fund | 2000 | FL |
Millers Mutual Insurance Company | 2000 | PA |
Mutual Insurance Corporation of America | 2000 | MI |
Florida Family Mutual Insurance Company | 2001 | FL |
Attorneys Liability Protection Society, A Mutual RRG | 2001 | MT |
Michigan Lawyers Mutual Insurance Company | 2001 | MI |
First Commercial Mutual Company | 2002 | FL |
First Nonprofit Mutual Insurance Company | 2002 | IL |
Garrison Property and Casualty Association | 2003 | TX |
Mercer Mutual Insurance Company | 2003 | PA |
Millers Mutual Insurance Company | 2003 | IL |
Milwaukee Mutual Insurance Company | 2003 | WI |
Fremont Mutual Insurance Company | 2004 | MI |
Le Mars Mutual Insurance Company of Iowa | 2004 | IA |
Employers Insurance Company of Nevada, A Mutual Company | 2005 | NV |
Petroleum Marketers Mutual Insurance Company | 2005 | IA |
Farmers Home Mutual Fire Insurance Company | 2006 | AR |
Louisiana United Businesses Self Insurers Fund | 2006 | LA |
Mutual Service Casualty Insurance Company | 2006 | MN |
American Physicians Insurance Exchange | 2007 | TX |
IMT Insurance Company (Mutual) | 2007 | IA |
Patriot Mutual Insurance Company | 2007 | ME |
Sheboygan Falls Mutual Insurance Company | 2008 | WI |
Commercial Mutual Insurance Company | 2009 | NY |
Appendix 2: Variable definitions
Variable | Definition |
---|---|
I(Dem) | A dummy variable equal to 1 for demutualised insurers and 0 otherwise |
I(DemSN) | A dummy variable equal to 1 for demutualised insurers with surplus notes in year − 1 and 0 otherwise |
I(DemwoSN) | A dummy variable equal to 1 for demutualised insurers without surplus notes in year − 1 and 0 otherwise |
I(DemSNACQ) | A dummy variable equal to 1 for demutualised insurers with surplus notes in year − 1 that are taken over post-demutualisation and 0 otherwise |
I(DemSNwoACQ) | A dummy variable equal to 1 for demutualised insurers with surplus notes in year − 1 that are not taken over post-demutualisation and 0 otherwise |
Size | The natural logarithm of net total assets in 1999 dollar value |
Surplus/Assets | Surplus to net total assets ratio |
Reinsurance ratio | Reinsurance ceded/(direct premiums written + reinsurance assumed) |
% commercial lines premiums | Percentage of net premiums written in commercial lines |
Line of business Herfindahl | Herfindahl index calculated based on net premiums written on each line, i.e. the sum of the square of net premiums written on each line divided by the square of the insurer’s net premiums written |
ROA | Return on assets defined as net income to net total assets |
Loss ratio | (Loss incurred + loss adjustment expenses)/net premiums earned |
Risk | The standard deviation of the loss ratio |
totRisk | Total risk is measured by the standard deviation of return on assets. Return on assets is defined as net income to net total assets |
invRisk | Investment risk is measured by the standard deviation of return on investments, where the return on investments is defined as net investment gain or loss to investment assets |
Tax rate | Federal income tax/taxable income |
Expense ratio | Underwriting expense/premiums written |
ΔSurplus | Surplust/Surplus− 1–1, where t stands for 1, 2, 3, 4 and 5 years post-demutualisation and surplus is in 1999 dollar value |
ΔDPW | DPWt/DPW− 1–1, where t stands for 1, 2, 3, 4 and 5 years post-demutualisation and DPW stands for direct premiums written in 1999 dollar value |
ΔReins | Reinst-Reins− 1, where t stands for 1, 2, 3, 4 and 5 years post-demutualisation and Reins stands for reinsurance ratio defined as reinsurance ceded to direct premiums written and reinsurance assumed |
Ave. tax rate | The average tax rate from year − 1 to t, where the tax rate is defined as federal income tax to taxable income |
Ave. ROA | The average ROA from year − 1 to t, where ROA is defined as net income to net total assets |
ΔNPW | NPWt/NPW− 1–1, where t stands for 1, 2, 3, 4 and 5 years post-demutualisation and NPW is in 1999 dollar value |
ΔComm | Commt-Comm− 1, where t stands for 1, 2, 3, 4 and 5 years post-demutualisation and Comm is the percentage of NPW in commercial lines |
ΔExpense | Expenset-Expense− 1, where t stands for 1, 2, 3, 4 and 5 years post-demutualisation and Expense is the expense ratio defined as underwriting expense to premiums written |
Group | A dummy variable equal to 1 if the insurer belongs to an insurance group and 0 otherwise |
Operating ratio | The combined ratio minus the investment income ratio |
Agent balance-to-DPW ratio | Agents’ balances/DPW |
Ave. no. lines | The average number of lines that the insurer underwrites from year − 1 to t |
Ave. admin exp | The average administrative expense ratio from year − 1 to t, where administrative expense ratio is defined as the administration and other expenses to NPW |
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Jin, L., Lai, G. & Ho, CL. An analysis of post-demutualisation in the property–liability insurance industry. Geneva Pap Risk Insur Issues Pract 47, 279–320 (2022). https://doi.org/10.1057/s41288-021-00231-9
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DOI: https://doi.org/10.1057/s41288-021-00231-9