Stochastic reserving with a stacked model based on a hybridized Artificial Neural Network
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- Andrea Gabrielli & Mario V. Wüthrich, 2018. "An Individual Claims History Simulation Machine," Risks, MDPI, vol. 6(2), pages 1-32, March.
- Paul H. Kupiec, 1995. "Techniques for verifying the accuracy of risk measurement models," Finance and Economics Discussion Series 95-24, Board of Governors of the Federal Reserve System (U.S.).
- Pigeon, Mathieu & Antonio, Katrien & Denuit, Michel, 2014. "Individual loss reserving using paid–incurred data," LIDAM Reprints ISBA 2014024, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Pigeon, Mathieu & Antonio, Katrien & Denuit, Michel, 2013.
"Individual Loss Reserving With The Multivariate Skew Normal Framework,"
ASTIN Bulletin, Cambridge University Press, vol. 43(3), pages 399-428, September.
- Pigeon, Mathieu & Antonio, Katrien & Denuit, Michel, 2013. "Individual Loss Reserving with the Multivariate Skew Normal Framework," LIDAM Reprints ISBA 2013028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Andrea Nigri & Susanna Levantesi & Mario Marino & Salvatore Scognamiglio & Francesca Perla, 2019. "A Deep Learning Integrated Lee–Carter Model," Risks, MDPI, vol. 7(1), pages 1-16, March.
- England, P.D. & Verrall, R.J., 2002. "Stochastic Claims Reserving in General Insurance," British Actuarial Journal, Cambridge University Press, vol. 8(3), pages 443-518, August.
- England, Peter & Verrall, Richard, 1999. "Analytic and bootstrap estimates of prediction errors in claims reserving," Insurance: Mathematics and Economics, Elsevier, vol. 25(3), pages 281-293, December.
- Maximilien Baudry & Christian Y. Robert, 2019. "A machine learning approach for individual claims reserving in insurance," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 35(5), pages 1127-1155, September.
- Mack, Thomas, 1991. "A Simple Parametric Model for Rating Automobile Insurance or Estimating IBNR Claims Reserves," ASTIN Bulletin, Cambridge University Press, vol. 21(1), pages 93-109, April.
- Arthur Charpentier & Mathieu Pigeon, 2016.
"Macro vs. Micro Methods in Non-Life Claims Reserving (an Econometric Perspective),"
Risks, MDPI, vol. 4(2), pages 1-18, May.
- Arthur Charpentier & Mathieu Pigeon, 2016. "Macro vs. Micro Methods in Non-Life Claims Reserving (an Econometric Perspective)," Working Papers hal-01280033, HAL.
- Renshaw, A.E. & Verrall, R.J., 1998. "A Stochastic Model Underlying the Chain-Ladder Technique," British Actuarial Journal, Cambridge University Press, vol. 4(4), pages 903-923, October.
- Taylor, Greg & McGuire, Gráinne & Sullivan, James, 2008. "Individual Claim Loss Reserving Conditioned by Case Estimates," Annals of Actuarial Science, Cambridge University Press, vol. 3(1-2), pages 215-256, September.
- Merz, Michael & Wüthrich, Mario V., 2010. "Paid-incurred chain claims reserving method," Insurance: Mathematics and Economics, Elsevier, vol. 46(3), pages 568-579, June.
- England, Peter, 2002. "Addendum to "Analytic and bootstrap estimates of prediction errors in claims reserving"," Insurance: Mathematics and Economics, Elsevier, vol. 31(3), pages 461-466, December.
- Pigeon, Mathieu & Antonio, Katrien & Denuit, Michel, 2014.
"Individual loss reserving using paid–incurred data,"
Insurance: Mathematics and Economics, Elsevier, vol. 58(C), pages 121-131.
- Pigeon, Mathieu & Antonio, Katrien & Denuit, Michel, 2014. "Individual loss reserving using paid-incurred data," LIDAM Discussion Papers ISBA 2014014, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- England, P. D. & Verrall, R. J., 2006. "Predictive Distributions of Outstanding Liabilities in General Insurance," Annals of Actuarial Science, Cambridge University Press, vol. 1(2), pages 221-270, September.
- Mack, Thomas, 1993. "Distribution-free Calculation of the Standard Error of Chain Ladder Reserve Estimates," ASTIN Bulletin, Cambridge University Press, vol. 23(2), pages 213-225, November.
- Lopez, Olivier & Milhaud, Xavier & Thérond, Pierre-E., 2019. "A Tree-Based Algorithm Adapted To Microlevel Reserving And Long Development Claims," ASTIN Bulletin, Cambridge University Press, vol. 49(3), pages 741-762, September.
- Katrien Antonio & Jan Beirlant & Tom Hoedemakers & Robert Verlaak, 2006. "Lognormal Mixed Models for Reported Claims Reserves," North American Actuarial Journal, Taylor & Francis Journals, vol. 10(1), pages 30-48.
- Verrall, R. J., 2000. "An investigation into stochastic claims reserving models and the chain-ladder technique," Insurance: Mathematics and Economics, Elsevier, vol. 26(1), pages 91-99, February.
- Margraf, Carolin & Elpidorou, Valandis & Verrall, Richard, 2018. "Claims reserving in the presence of excess-of-loss reinsurance using micro models based on aggregate data," Insurance: Mathematics and Economics, Elsevier, vol. 80(C), pages 54-65.
- Happ, Sebastian & Wüthrich, Mario V., 2013. "Paid-Incurred Chain Reserving Method With Dependence Modeling," ASTIN Bulletin, Cambridge University Press, vol. 43(1), pages 1-20, January.
- Happ, Sebastian & Merz, Michael & Wüthrich, Mario V., 2012. "Claims development result in the paid-incurred chain reserving method," Insurance: Mathematics and Economics, Elsevier, vol. 51(1), pages 66-72.
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Cited by:
- Roberto Bomgiovani Cazzari & Guilherme Rodovalho Fernandes Moreira, 2022. "Uncertainty of Claims Provisions from the Analysis of Financial Statements," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 26(3), pages 200400-2004.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2020-09-07 (Big Data)
- NEP-CMP-2020-09-07 (Computational Economics)
- NEP-FOR-2020-09-07 (Forecasting)
- NEP-IAS-2020-09-07 (Insurance Economics)
- NEP-RMG-2020-09-07 (Risk Management)
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