Impacto da COVID-19 no resultado das seguradoras brasileiras especializadas em vida

• Autor(a) principal: Poli, Leandro Evangelista
• Data de Publicação: 2023
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da PUC_SP
• Texto Completo: https://repositorio.pucsp.br/jspui/handle/handle/41034
• topic: CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO::CIENCIAS CONTABEIS; COVID-19; Indicadores da atividade de seguros; Correlação; Seguradoras especializadas em vida; COVID-19; Insurance industry indicators; Correlation; Brazilian life insurers

This dissertation had the objective to analyze the impact of the Covid-19 pandemic on the profitability of the life insurance market in Brazil, through the comparison of indicators referring to the periods of 2018 and 2019, prior to the pandemic; and from 2020 with the registration of the first cases in the country, until the 1st half of 2022. The research was quantitative in nature, using public data and application of collaboration and regression techniques. Indicators of insurance activity available by SUSEP-Superintendence of Private Insurance and information regarding records of contamination and deaths, as well as the scope of vaccination, were applied. The result showed an increase in losses ratio from the 2nd half of 2020, reaching its peak in the subsequent semester, and returning to pre-pandemic levels in 2022. The scope of vaccination was also explored, showing a high negative correlation among the vaccinated population and loss ratio. The research also sought to identify the effects on net income of the ten largest Brazilian life insurance companies with premiums issued in 2021, and it was possible to verify different behaviors, which varied according to the diversification of portfolio of insurance products and dependence on the financial result. In this sense, it was analyzed the impact of a high dimension event on the insurance industry, an effect that has not yet been exhausted and requires monitoring and attention through future analyses