Abstract
Solvency assessing is a compelling issue for the insurance industry, also in light of the current international risk-based regulations. Internal models have to take into account risk/profit indicators, in order to provide flexible tools aimed at valuing solvency. We focus on a variable annuity with an embedded option involving a participation level which depends on the period financial result. We realize a performance evaluation by means of a suitable indicator, which properly captures both financial and demographic risk drivers. In fact, in the case of life annuity business, assessing solvency has to be framed within a wide time horizon, where specific financial and demographic risks are realized. In this order of ideas, solvency indicators have to capture the amount of capital to cope with the impact of those risk sources over the considered period. The analysis is carried out in accordance with a management perspective, apt to measure the business performance, which requires a correct risk control; in particular we present a study of the dynamics of the profit realized per unit of the total financial value of the contract. On the other hand, the consumer profitability is also measured by means of an utility-equivalent fixed life annuity. Ac-cording to the insureds point of view, we measure their perception of the contract profitability within the expected utility approach.
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Cocozza, R., De Simone, A., Di Lorenzo, E., & Sibillo, M. (2011, June 7–10). Participating policies: risk and value drivers in a financial management perspective. In Proceedings of the 14th Applied Stochastic Models and Data Analysis Conference, Rome, pp. 41–48. ISBN: 97888467-3045-9. http://www.asmda.eu/home.html
Dacorogna, M. (2015, December). A change of paradigm for the insurance industry. SCOR Papers.
D’Amato, V., Di Lorenzo, E., Orlando, A., Russolillo, M., & Sibillo, M. (2011). Profit participation annuities: A business liability analysis within a demographic risk sensitive approach. Investment Management and Financial Innovations, 10(1), 155–165.
Easton, A.E., & Harris J.F. (2007). Actuarial aspects of individual and annuity contracts (2nd ed.). Winsted: Actex Publication https://eiopa.europa.eu/consumer-protection
EIOPA. (2016a) https://eiopa.europa.eu/consumer-protection
EIOPA. (2016b). EIOPACP16/001, 1 February 2016. Consultation paper on EIOPAs advice on the development of an EU Single Market for personal pension products (PPP)). http://www.slideshare.net/EthosMedia/cp-16001-eiopa-personal-pensions
EIOPA. (2016c). EIOPA-BoS-16-071, 6 April 2016. Final Report on public consultation on preparatory guidelines on product oversight governance arrangements by insurance undertakings and insurance distributors.
Farrell, M., & Gallagher, R. (2015). The valuation implications of enterprise risk management maturity. The Journal of Risk and Insurance, 82(8), 625–657.
Knoller, C. (2016). Multiple reference points and the demand for principal-protected life annuities: An experimental analysis. The Journal of Risk and Insurance, 83(1), 163–179.
Maurer, R., Rogalla, R., & Siegelin, I. (2013). Participating payout life annuities. Lessons from Germany. ASTIN Bulletin, 43(02), 159–187.
Swiss Re. (2012). Understanding profitability in life insurance. http://www.swissre.com/media/news releases/nr 20120207measuring life pro tability.html
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D’Amato, V., Di Lorenzo, E., Orlando, A., Sibillo, M. (2018). Life Annuity Portfolios: Risk-Adjusted Valuations and Suggestions on the Product Attractiveness. In: Skiadas, C., Skiadas, C. (eds) Demography and Health Issues. The Springer Series on Demographic Methods and Population Analysis, vol 46. Springer, Cham. https://doi.org/10.1007/978-3-319-76002-5_26
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