Abstract
This paper describes the use of two different methodological approaches for risk assessment: nonparametric coming from Artificial Intelligence techniques and, in contrast, Generalized Linear Models from statistical parametric. Both practical applications will analyze Lapse Risk, one of the measurable risks that insurance sector must take into account according to Solvency II. Results and conclusions show a new approach and how these techniques can be used by insurance companies as an improvement in Risk Management; encouraging the insurance sector to investigate new methodologies and techniques to deal requirements demanded by Solvency II regulation.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
