Abstract
This article summarizes the main topics and findings from the Swiss Risk and Insurance Forum 2018. That event gathered experts from academia, insurance industry, regulatory bodies, and consulting companies to discuss the challenges arising from the impact of data science and, more generally, of digitalization to the insurance sector.
Similar content being viewed by others
References
Albrecher H, Bauer D, Embrechts P, Filipovic D, Koch-Medina P, Korn R, Loisel S, Pelsser A, Schiller F, Schmeiser H, Wagner J (2018) Asset-liability management for long-term insurance business. Eur Actuar J 8:9–25
Albrecher H, Embrechts P, Filipovic D, Harrison G, Koch P, Loisel S, Vanini P, Wagner J (2016) Old-age provision: past, present and future. Eur Actuar J 6:287–306
Albrecht P, Huggenberger M (2017) The fundamental theorem of mutual insurance. Insur Math Econ 75:180–188
Ayuso M, Guillen M, Pérez-Marín AM (2016) Telematics and gender discrimination: some usage-based evidence on whether men’s risk of accidents differs from women’s. Risks 4:10
Bafin (2018) Supervision and regulation in the age of big data and artificial intelligence, Bafin Perspectives
Baudry M, Robert CY (2017) Non-parametric individual claim reserving in insurance. Working paper
Browne MJ, Gemmo I, Gründl H (2018) Privacy concerns in insurance markets: implications for market equilibria and social welfare. ICIR Working Paper Series, No. 25
Cappiello A (2018) Technology and the insurance industry. Palgrave-Macmillan, London
Denuit M, Hainaut D, Trufin J (2019) Effective statistical learning methods for actuaries. Springer, Berlin
Eling M, Lehmann M (2018) The impact of digitalization on the insurance value chain and the insurability of risks. Geneva Pap Risk Insur Issues Pract 43:359–396
Karoui N, El S, Loisel Y Salhi (2017) Minimax optimality in robust detection of a disorder time in doubly-stochastic Poisson processes. Ann Appl Probab 27:2515–2538
Gatzert N, Schmeiser H (2012) The merits of pooling claims revisited. J Risk Finance 13:184–198
Guillen M, Nielsen JP, Ayuso M, Pérez-Marín AM (2018) The use of telematics devices to improve automobile insurance rates. Risk Anal 39:662–672
Koch-Medina P, Cambou M, Munari C (2014) Expert forum on “risk measures and regulation in insurance”. University of Zurich. http://media.swissre.com/documents/Summary_of_research_topics1.pdf
Lopez O, Milhaud X, Thérond P (2016) Tree-based censored regression with applications in insurance. Electron J Stat 10:2685–2716
McKinsey (2016a) Automating the insurance industry, McKinsey Quarterly
McKinsey (2016b) Making Digital strategy a reality in insurance, Digital McKinsey
McKinsey (2017) Digital disruption in insurance: cutting through the noise, Digital McKinsey
Naylor M (2017) Insurance transformed: technological disruption. Palgrave-Macmillan, London
Naveed M, Ayday E, Clayton E, Fellay J, Gunter C, Hubaux J-P, Malin B, Wang X (2015) Privacy in the Genomic Era. ACM Comput Surv 48:1–43
Nakamoto S (2018) Bitcoin: a peer-to-peer electronic cash system. Working Paper. https://bitcoin.org/bitcoin.pdf?
Ohlsson E, Johansson B (2010) Non-life insurance pricing with generalized linear models, vol 2. Springer, Berlin
Sandor RL (2018) Electronic trading and blockchain: yesterday, today and tomorrow. World Scientific Publishing, Singapore
Verbelen R, Antonio K, Claeskens G (2018) Unravelling the predictive power of telematics data in car insurance pricing. J R Stat Soc Ser C (Appl Stat) 67:1275–1304
Wüthrich MV (2018) Neural networks applied to chain-ladder reserving. Eur Actuar J 8:407–436
Acknowledgements
We thank Stephan Schreckenberg for suggesting the format of the conference, and for his critical and active support in the creation of the Swiss Risk and Insurance Forum. We thank all participants for the stimulating and lively discussion: 1. Hansjörg Albrecher (Université de Lausanne, SFI), 2. Gianluca Antonini (Swiss Re), 3. Jörg Behrens (Fintegral), 4. Antoine Bommier (ETH Zurich), 5. Karsten Bromann (Solidum), 6. Roland Bürgi (Systemorph), 7. Michel Denuit (UC Louvain), 8. Liran Einav (Stanford University), 9. Damir Filipovic (EPFL, SFI), 10. Isabelle Flückiger (Accenture), 11. Irina Gemmo (University of Frankfurt), 12. Hansjörg Germann (Zurich Insurance), 13. Kai Giesecke (Stanford University), 14. Jean-Pierre Hubaux (EPFL), 15. Carmelo Iantosca (AXA-Winterthur), 16. Benno Keller (Geneva Association), 17. Pablo Koch (University of Zurich, SFI), 18. Kai-Nicholas Kunze (Generali Lings), 19. Stéphane Loisel (Université Lyon 1), 20. Alexander Mürmann (WU Wien), 21. Michael Müller (Baloise), 22. Tanguy Polet (Swiss Life France), 23. Frank Schiller (Munich Re), 24. Hato Schmeiser (University of St. Gallen), 25. Stephan Schreckenberg (Swiss Re Institute), 26. Effy Vayena (ETH Zurich), 27. Heiner Weber (Katalysen), 28. Stefan Weber (LU Hannover), 29. Lutz Wilhelmy (Swiss Re). The Swiss Risk and Insurance Forum 2018 received financial support from Fintegral, Swiss Re Institute, the Swissquote Chair in Quantitative Finance at EPFL, the ETH Risk Centre, the Center for Finance and Insurance at the University of Zurich and the Department of Actuarial Science of the University of Lausanne.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Albrecher, H., Bommier, A., Filipović, D. et al. Insurance: models, digitalization, and data science. Eur. Actuar. J. 9, 349–360 (2019). https://doi.org/10.1007/s13385-019-00209-x
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13385-019-00209-x