Equalization Reserves for Reinsurance and Non-Life Undertakings in Switzerland
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- Himchan Jeong & Dipak Dey, 2020. "Application of a Vine Copula for Multi-Line Insurance Reserving," Risks, MDPI, vol. 8(4), pages 1-23, October.
- De Vylder, F. & Goovaerts, M., 1999. "Solvency margins and equalization reserves," Insurance: Mathematics and Economics, Elsevier, vol. 24(1-2), pages 103-115, March.
- Yves Staudt & Joël Wagner, 2021. "Assessing the Performance of Random Forests for Modeling Claim Severity in Collision Car Insurance," Risks, MDPI, vol. 9(3), pages 1-28, March.
- Grubinger, Thomas & Zeileis, Achim & Pfeiffer, Karl-Peter, 2014.
"evtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R,"
Journal of Statistical Software, Foundation for Open Access Statistics, vol. 61(i01).
- Thomas Grubinger & Achim Zeileis & Karl-Peter Pfeiffer, 2011. "evtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R," Working Papers 2011-20, Faculty of Economics and Statistics, Universität Innsbruck.
- England, P.D. & Verrall, R.J. & Wüthrich, M.V., 2019. "On the lifetime and one-year views of reserve risk, with application to IFRS 17 and Solvency II risk margins," Insurance: Mathematics and Economics, Elsevier, vol. 85(C), pages 74-88.
- Shi, Peng & Frees, Edward W., 2011. "Dependent Loss Reserving using Copulas," ASTIN Bulletin, Cambridge University Press, vol. 41(2), pages 449-486, November.
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- Zuleyka Díaz Martínez & José Fernández Menéndez & Luis Javier García Villalba, 2023. "Tariff Analysis in Automobile Insurance: Is It Time to Switch from Generalized Linear Models to Generalized Additive Models?," Mathematics, MDPI, vol. 11(18), pages 1-16, September.
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Keywords
equalization reserves; GAM; GLM; reinsurance; non-life; Switzerland; tax;All these keywords.
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