MAP20200033608Salazar Vesga, NataliaLongevity projections : incorporating sample and population information through the modelization of differences in common sample points / by Natalia Salazar Vesga. — Madrid : Universidad Carlos III de Madrid, 2020Trabajo Fin de Master del Master en Ciencias Actuariales y Financieras de la Escuela de Postgrado de la Universidad Carlos III de Madrid. Tutores: José Miguel Rodríguez-Pardo del Castillo y Jesús Ramón Simón del Potro. Curso 2018-2020Sumario: Projecting and understanding longevity has always been a major concern for both de- mographers and insurance companies. Having reliable projections of the mortality pat- terns at a country level allows governments to structure their pension schemes and public healthcare policies, and at a sample level, assists companies with the pricing of their life- insurance products as well as with the calculation of their Solvency Capital Requirement (SCR). Understanding mortality at a company level is not an easy task, due to the lack of a large series of data, the most common mortality projection models can not be ap- plied. This is the reason why insurers make use of more pragmatic approaches, generally at the cost of imposing safety margins on their estimations and overestimating death probabilities, which results in a higher cost of solvency capital and lower profitability for the business at hand. This document aims to explore a way in which population mortality models can be adapted to forecast the behavior of the insured population introducing a correction in the forecast of the general population that stems from the modelization of the differences between the two aforementioned groups1. Longevidad. 2. Proyecciones demográficas. 3. Seguro de vida. 4. Modelos actuariales. 5. Empresas de seguros. 6. Margen de solvencia. 7. Rentabilidad. 8. Modelos probabílisticos. 9. Ageingnomics. Economia senior. I. Rodríguez-Pardo del Castillo, José Miguel. II. Simón del Potro, Jesús Ramón. III. Universidad Carlos III de Madrid. IV. Trabajos Fin de Master. V. Title.