Subject The article examines the influence of external environment on insurance company stability. Objectives The study aims to provide the Bank of Russia and insurance companies with a tool to analyze financial stability of insurers. Methods I review and systematize the ISO recommendations to identify parameters of external environment that determine the probability of financial destabilization of insurance companies. Using the binary probit regression, I reveal external macroeconomic factors that positively or negatively affect the stability of insurance companies. The level of influence of each indicator is estimated through calculation of marginal effects. Results The paper demonstrates that external environment affects the financial stability of insurance companies. The insurers' stability is affected by the demand for insurance services and the amount of payments. Furthermore, the activity of insurance companies is closely related to the condition of the banking system, which can be seen as a related industry. Conclusions External environment is a significant factor in determining the probability of default of the insurance company, and the Bank of Russia should take it into account. Insurance companies should classify the areas of activity based on risk exposure for their business. The findings may be useful for insurance companies monitoring by the Bank of Russia. The indicators of external environment can complement projection models of the Bank of Russia to increase the accuracy of forecasts. Insurance companies may apply the findings in their internal risk assessment.
Swagel P. Legal, Political and Institutional Constraints on the Financial Crisis Policy Response. Journal of Economic Perspectives, 2015, vol. 29, no. 2, pp. 107–122. URL: Link
Belousova V., Karminsky A., Kozyr I. Bank Ownership and Profit Efficiency of Russian Banks. BOFIT Discussion Papers, 2018, vol. 5, 23 p. URL: Link
Isseveroglu Gulsun, Gucenme Umit. Early Warning Model with Statistical Analysis Procedures in Turkish Insurance Companies. African Journal of Business Management, 2010, vol. 4, no. 5, pp. 623–630. URL: Link
Cole R., Wu Q. Is Hazard or Probit More Accurate in Predicting Financial Distress? Evidence from U.S. bank failures. Munich Personal RePEc Archive Paper, 2009, vol. 24688, pp. 1–46. URL: Link
Berry-Stölzle T., Nini G., Wende S. External Financing in the Life Insurance Industry: Evidence from the Financial Crisis. The Journal of Risk and Insurance, 2014, vol. 81, iss. 3, pp. 529–562. URL: Link
Born P.H., Klimaszewski-Blettner B. Should I Stay or Should I Go? The Impact of Natural Disasters and Regulation on U.S. Property Insurers' Supply Decision. The Journal of Risk and Insurance, 2013, vol. 80, iss. 1, pp. 1–36. URL: Link
Huong Dang. A Competing Risks Dynamic Hazard Approach to Investigate the Insolvency Outcomes of Property-Casualty Insurers. The Geneva Papers of Risk and Insurance – Issues and Practice, 2014, vol. 39, iss. 1, pp. 42–76. URL: Link
Powers M., Shubik M., Yao S.T. Insurance Market Games: Scale Effects and Public Policy. Journal of Economics, 1998, vol. 67, iss. 2, pp. 109–134. URL: Link
Kahneman D., Tversky A. Prospect Theory: An Analysis of Decision under Risk. Econometrica, 1979, vol. 47, no. 2, pp. 263–291. URL: Link
Kobayashi S. Insurance and Financial Stability. Journal of Financial Regulation and Compliance, 2017, vol. 25, no. 1, pp.105–112. URL: Link
Kwon J.W., Wolfrom L. Analytical Tools for the Insurance Market and Macro-Prudential Surveillance. OECD Journal: Financial Market Trends, 2016, vol. 1, pp. 1–48. URL: Link
Malinovskii V.K. How an Aggressively Expanding Insurance Company Becomes Insolvent. Scandinavian Actuarial Journal, 2016, vol. 2016, iss. 8, pp. 673–691. URL: Link
Papanikolaou N.I. A Dual Early Warning Model of Bank Distress. Economics Letters, 2018, vol. 162(C), pp. 127–130. URL: Link
Petreski B. Empirical Analysis of the Risks and Resilience to Shocks of the Macedonian Insurance Sector. The Geneva Papers on Risk and Insurance – Issues and Practice, 2015, vol. 40, iss. 4, pp. 678–700.
Betz F., Oprică S., Peltonen T., Sarlin P. Predicting Distress in European Banks. Journal of Banking & Finance, 2014, vol. 45, pp. 225–241. URL: Link
Rauch J., Wende S. Solvency Prediction for Property-Liability Insurance Companies: Evidence from the Financial Crisis. The Geneva Papers on Risk and Insurance – Issues and Practice, 2015, vol. 40, iss. 1, pp. 47–65.
Rothschild M., Stiglitz J. Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information. The Quarterly Journal of Economics, 1976, vol. 90, iss. 4, pp. 629–649. URL: Link
Sharpe I.G., Stadnik A. APRA's Expert Judgment Ratings and Solvency Cover of Australian General Insurers. The Journal of Risk and Insurance, 2008, vol. 75, iss. 3, pp. 593–616. URL: Link
Sharpe W.F. Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk. The Journal of Finance, 1964, vol. 19, no. 3, pp. 425–442. URL: Link
Shubik M., Tsomocos D.P., A Strategic Market Game with Seigniorage Costs of Fiat Money. Economic Theory, 2002, vol. 19, iss. 1, pp. 187–201. URL: Link