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Capital and Risk Revisited: A Structural Equation Model Approach for Life Insurers

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  • Etti G. Baranoff
  • Savas Papadopoulos
  • Thomas W. Sager

Abstract

The role of risk in the capital structure decision of firms is a vast topic in finance. Commonly, models of the interrelationship between risk and capital enumerate as many risk factors as possible by appropriate proxies, with the goal of detailing their individual effects. In this study of the life insurance industry for 1994 through 2000, we take a broader, holistic view of enterprise risk, identifying two groups of insurer risk factors that arise from the major activities of life insurers: investing and underwriting. We call the group of risk factors associated with investing asset risk, and the group associated with underwriting product risk. After specifying other important determinants of capital structure as controls, we allow all other risk factors to find expression in residual error. Within this framework, our focus is to compare two candidate measures for the role of proxy for asset‐related risks. One measure, called regulatory asset risk (RAR), derives from the regulatory tradition of concern with solvency and is related to the C‐1 component of risk‐based capital. The other measure, called opportunity asset risk (OAR), is motivated by traditional finance concerns with market risk and reflects volatility of returns. Product‐related risks are proxied by underwriting exposures in different product lines. We employ structural equation modeling (SEM), which uses longitudinal factor analysis. SEM is an innovative technique for such studies, in dealing effectively with multiple structural equations, autocorrelated panel data, unobserved underlying factors, and other issues that are not simultaneously addressed in other methodologies. We find that RAR and OAR are not equivalent proxies for asset risks. Although overlapping to some extent, each illuminates different aspects of the asset risk–capital interrelationship. In particular, RAR does not seem to affect the capital structure decision of small firms, although OAR does. We interpret this to suggest that small firms as a whole are not as sensitive in their capital decisions to the proxy of regulatory concerns as to the proxy of market opportunity. This contrasts with large insurers, for whom both RAR and OAR have significant effects on capital that comport with the finite risk hypothesis. More detailed analysis suggests that the lack of effect of RAR for small insurers may result from RAR's proxying some factors that induce finite risk for part of the small insurer sample, and other factors that favor the excessive risk hypothesis.

Suggested Citation

  • Etti G. Baranoff & Savas Papadopoulos & Thomas W. Sager, 2007. "Capital and Risk Revisited: A Structural Equation Model Approach for Life Insurers," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 74(3), pages 653-681, September.
  • Handle: RePEc:bla:jrinsu:v:74:y:2007:i:3:p:653-681
    DOI: 10.1111/j.1539-6975.2007.00229.x
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    Cited by:

    1. Selim Mankai & Aymen Belgacem, 2013. "Interactions Between Risk-Taking, Capital, and Reinsurance for Property-Liability Insurance Firms," Working Papers hal-04141190, HAL.
    2. Iegor Rudnytskyi & Joël Wagner, 2019. "Drivers of Old-Age Dependence and Long-Term Care Usage in Switzerland—A Structural Equation Model Approach," Risks, MDPI, vol. 7(3), pages 1-20, August.
    3. Born Patricia & Lin Hong-Jen & Wen Min-Ming & Yang Charles C., 2009. "The Dynamic Interactions between Risk Management, Capital Management, and Financial Management in the U.S. Property/Liability Insurance Industry," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 4(1), pages 1-21, November.
    4. Cantrell, Brett W. & Yust, Christopher G., 2018. "The relation between religiosity and private bank outcomes," Journal of Banking & Finance, Elsevier, vol. 91(C), pages 86-105.
    5. Hsiao, Ching-Yuan & Shiu, Yung-Ming, 2024. "Internal versus external capital markets and risk-taking," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 503-519.
    6. Fung, Derrick W.H. & Lee, Wing Yan & Yang, Charles C. & Yeh, Jason J.H., 2024. "Risk taking, performance, and resilience to the COVID-19 pandemic: Evidence from public property-casualty insurers," International Review of Financial Analysis, Elsevier, vol. 91(C).
    7. Hu, Jin-Li & Yu, Hsueh-E, 2014. "Risk management in life insurance companies: Evidence from Taiwan," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 185-199.
    8. Radek Hendrych & Tomáš Cipra, 2015. "Econometric Model of the Czech Life Insurance Market," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(2), pages 173-191.
    9. Bryce, Cormac & Webb, Rob & Cheevers, Carly & Ring, P. & Clark, G., 2016. "Should the insurance industry be banking on risk escalation for solvency II?," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 131-139.
    10. Ching-Yuan Hsiao & Yung-Ming Shiu, 2019. "The effects of business mix on internal and external reinsurance usage," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(4), pages 624-652, October.
    11. Jiang Cheng & Mary A. Weiss, 2011. "The Regulatory Effect of Risk-Based Capital in Property-Liability Insurance," NFI Working Papers 2011-WP-20, Indiana State University, Scott College of Business, Networks Financial Institute.
    12. Selim Mankaï & Aymen Belgacem, 2013. "Interactions Between Risk-Taking, Capital, and Reinsurance for Property-Liability Insurance Firms," EconomiX Working Papers 2013-23, University of Paris Nanterre, EconomiX.
    13. Baranoff Etti & Sager Thomas & Shi Bo, 2016. "The Risk of Variable Annuity Guarantees and Life Insurer Capital," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 10(2), pages 155-192, July.
    14. Jeungbo Shim, 2017. "An Investigation Of Market Concentration And Financial Stability In Property–Liability Insurance Industry," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(2), pages 567-597, June.
    15. Savas Papadopoulos, 2010. "Theory and methodology for dynamic panel data: tested by simulations based on financial data," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 1(3/4), pages 239-253.
    16. Jiang Cheng & Elyas Elyasiani & Jingyi (Jane) Jia, 2011. "Institutional Ownership Stability and Risk Taking: Evidence from the Life-Health Insurance Industry," NFI Working Papers 2011-WP-14, Indiana State University, Scott College of Business, Networks Financial Institute.
    17. Ralf Sabiwalsky, 2010. "Nonlinear modelling of target leverage with latent determinant variables — new evidence on the trade‐off theory," Review of Financial Economics, John Wiley & Sons, vol. 19(4), pages 137-150, October.
    18. Sabiwalsky, Ralf, 2010. "Nonlinear modelling of target leverage with latent determinant variables -- new evidence on the trade-off theory," Review of Financial Economics, Elsevier, vol. 19(4), pages 137-150, October.
    19. Martin Eling & Ruo Jia & Philipp Schaper, 2022. "The magic triangle: growth, profitability and safety in the insurance industry," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(2), pages 321-348, April.

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