La rentabilidad de los seguros de no vida: un enfoque Bayesiano (2009-2022)
Descripción del Articulo
The objective of this research is to analyze the factors that influence the profitability of non-life insurance and its long-term effects. Likewise, it can be considered that some of the factors that influence this variable are agency, technical reserves, loss ratio and investments. Based on this pr...
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| Formato: | tesis de grado |
| Fecha de Publicación: | 2023 |
| Institución: | Universidad de Lima |
| Repositorio: | ULIMA-Institucional |
| Lenguaje: | español |
| OAI Identifier: | oai:repositorio.ulima.edu.pe:20.500.12724/19702 |
| Enlace del recurso: | https://hdl.handle.net/20.500.12724/19702 |
| Nivel de acceso: | acceso abierto |
| Materia: | Rentabilidad Seguros de vida Profitability Life insurance https://purl.org/pe-repo/ocde/ford#5.02.01 |
| Sumario: | The objective of this research is to analyze the factors that influence the profitability of non-life insurance and its long-term effects. Likewise, it can be considered that some of the factors that influence this variable are agency, technical reserves, loss ratio and investments. Based on this premise, we have chosen to use the Bayesian Vector Autoregressive (BVAR) model for a panel database of the four largest insurance companies from August 2009 to December 2021. In this sense, the results obtained contributed to determine that there is a direct effect of investments and agency on profitability and an inverse effect of technical reserves and loss ratio, although these effects were mostly not long term. Consequently, it was observed that in order to position itself as the company with the highest demand in the market (Rímac) or to be the most profitable (MAPFRE Peru), it is necessary to comply with the theoretical concepts and temporary opportunities due to the effect of investments. |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).