Decomposing diversification effect: evidence from the U.S. property-liability insurance industry

  • Received March 25, 2017;
    Accepted May 16, 2017;
    Published May 29, 2017
  • Author(s)
    Xin Che , Andre P. Liebenberg , Ivonne A. Liebenberg , Lawrence S. Powell
  • DOI
    http://dx.doi.org/10.21511/ins.08(1).2017.02
  • Article Info
    Volume 8 2017, Issue #1, pp. 16-28
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Prior literature suggests that diversified property-liability (P/L) insurers underperform their focused counterparts. While most studies focus on insurers’ overall performance, there is an absence of evidence regarding whether the underperformance is driven by underwriting or investment profitability. The authors develop and test hypotheses of diversification’s separate effect on underwriting and investing in the U.S. property-liability (P/L) insurance industry. It is found that diversified insurers outperform their focused counterparts in terms of investment return, but that they underperform in terms of underwriting profitability. The results are robust to corrections for endogeneity bias and a matched sample analysis.

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    • Table 1. Summary statistics
    • Table 2. Diversification effect on underwriting performance
    • Table 3. Diversification effect on investment performance
    • Berger, A. N., Cummins, J. D., & Weiss, M. A. (2000). Conglomeration versus Strategic Focus: Evidence from the Insurance Industry. Journal of Financial Intermediation, 9, 323-362.
    • Berger, P. G., & Ofek, E. (1995). Diversification’s Effect on Firm Value. Journal of Financial Economics, 37, 39-65.
    • Berry-Stölzle, T. R., Liebenberg, A. P., Ruhland, J. S., & Sommer, D. W. (2012). Determinants of Corporate Diversification: Evidence from the Property-Liability Insurance Industry. Journal of Risk and Insurance, 79, 381-413.
    • Campa, J. M, & Kedia, S. (2002). Explaining the Diversification Discount. Journal of Finance, 57, 1731-1762.
    • Che, X., & Liebenberg, A. P. (2017). Effects of Business Diversification on Asset Risk-Taking: Evidence from the U.S. Property-Liability Insurance Industry. Journal of Banking and Finance,77, 122-136
    • Chidambaran, N. K., Pugel T. A., & Saunders A. (1997). An Investigation of the Performance of the U.S. Property-Liability Insurance Industry. Journal of Risk and Insurance, 64, 371-381.
    • Cummins, J. D., & Nini, G. (2002). Optimal Capital Utilization by Financial Firms: Evidence from the Property-Liability Insurance Industry. Journal of Financial Services Research, 21, 15-53.
    • Cummins, D., & Sommer, D. (1996). Capital and Risk in Property-Liability Insurance Markets. Journal of Banking and Finance, 20, 1069-1092.
    • Cummins, J. D., Weiss, M. A., & Zi, H. (1999). Organizational Form and Efficiency: The Coexistence of Stock and Mutual Property-Liability Insurers. Management Science, 45, 1254-1269.
    • Elango, B., Ma, Y., & Pope, N. (2008). An Investigation into the Diversification-Performance Relationship in the U.S. Property-Liability Insurance Company. Journal of Risk and Insurance, 75, 567-591.
    • Fiegenbaum, A., & Thomas, H. (1990). Strategic Groups and Performance: The U.S. Insurance Industry, 1970-84. Strategic Management Journal, 11, 197-215.
    • Grant, R. M., Jammine, A. P., & Thomas, H. (1988). Diversity, Diversification, and Profitability among British Manufacturing Companies. Academy of Management Journal, 31, 771-801.
    • Hoyt, R. E., & Trieschmann, J. S. (1991). Risk/Return Relationships for Life-Health, Property-Liability, and Diversified Insurers. Journal of Risk and Insurance, 58, 322-330.
    • Insurance Information Institute. (2015). Facts and Statistics: Property/Casualty Insurance Cycle.
    • Laeven, L., & Levine, R. (2007). Is There a Diversification Discount in Financial Conglomerates? Journal of Financial Economics, 85, 331-367.
    • Lee, S., Mayers, D., & Smith, C. W. (1997). Guaranty Funds and Risk-Taking Evidence from the Insurance Industry. Journal of Financial Economics, 44, 3-24.
    • Lewellen, W. G. (1971). A Pure Financial Rationale for the Conglomerate Merger. Journal of Finance, 26, 521-537.
    • Liebenberg, A. P., & Sommer, D. W. (2008). Effects of Corporate Diversification: Evidence from the Property-Liability Insurance Industry. Journal of Risk and Insurance, 75, 893-919.
    • Martin, J. D., & Sayrak, A. (2003). Corporate Diversification and Shareholder Value: A Survey of Recent Literature. Journal of Corporate Finance, 9, 37-57.
    • Markides, C. C. (1992). Consequences of Corporate Refocusing: Ex Ante Evidence. Academy of Management Journal, 35, 398-412.
    • Mayers, D., & Smith, C. W. (1981). Contractual Provisions, Organizational Structure, and Conflict Control in Insurance Markets. Journal of Business, 54, 407-434.
    • Mayers, D., & Smith, C. W. (1988). Ownership Structure Across Lines of Property-Casualty Insurance. Journal of Law and Economics, 31, 351-378.
    • Mayers, D., & Smith, C. W. (1990). On the Corporate Demand for Insurance: Evidence from the Reinsurance Market. Journal of Business, 63, 19-40.
    • Montgomery, C. A. (1985). Product-Market Diversification and Market Power. Academy of Management Journal, 28, 789-798.
    • Rajan, R., Servaes, H., & Zingales, L. (2000). The Cost of Diversity: The Diversification Discount and Inefficient Investment. Journal of Finance, 55, 35-80.
    • Pottier, S. W. (2007). The Determinants of Private Debt Holdings: Evidence from the Life Insurance Industry. Journal of Risk and Insurance, 74, 591-612.
    • Scherer, F. M. (1980). Industrial Market Structure and Economic Performance. Chicago: Rand McNally.
    • Schrand, C. M., & Unal, H. (1998). Hedging and Coordinated Risk Management: Evidence from Thrift Conversions. Journal of Finance, 53, 979-1013.
    • Sommer, D. W. (1996). The Impact of Firm Risk on Property-Liability Insurance Prices. Journal of Risk and Insurance, 63, 501-514.
    • Teece, D. J. (1980). Economics of Scope and the Scope of the Enterprise. Journal of Economic Behavior and Organization, 1, 223-247.
    • Weiss, M. A. (2007). Underwriting Cycles: A Synthesis and Further Directions. Journal of Insurance Issues, 30, 31-46.
    • Yu, T., Lin, B., Oppenheimer, H. R., & Chen, X. (2008). Intangible Assets and First Risk-taking: An Analysis of Property and Liability Insurance Firms. Risk Management and Insurance Review, 11, 157-178.
    • Yuengert, A. M. (1993). The Measurement of Efficiency in Life Insurance Estimates of a Mixed Normal-Gamma Error Model. Journal of Banking and Finance, 17, 483-496.
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Insurance Markets and Companies
Insurance Markets and Companies