Automobile Insurance Market loss ratio : impacts of the Covid-19 pandemic on the trend of claims frequency
Este trabalho visa analisar o impacto da pandemia de COVID-19 na sinistralidade do mercado de seguros brasileiro, utilizando as ferramentas de linguagem R. O objetivo central é identificar e analisar as tendências emergentes e os padrões de sinistralidade durante o período pandêmico, ampliando a com...
- Autores:
-
Costa, Renato Eliseu
Yukie, Diana
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2024
- Institución:
- Corporación Universitaria Remington
- Repositorio:
- Repositorio institucional Uniremington
- Idioma:
- por
- OAI Identifier:
- oai:repositorio.uniremington.edu.co:123456789/5967
- Acceso en línea:
- https://revistas.pucsp.br/index.php/CAFI/article/view/68113
https://repositorio.uniremington.edu.co/handle/123456789/5967
- Palabra clave:
- Loss ratio
Claims frequency
Insurance
Pandemic
Trend
sinistralidade
frequência de sinistros
Seguros
Pandemia
tendência
- Rights
- openAccess
- License
- CC BY 4.0
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dc.title.en.fl_str_mv |
Automobile Insurance Market loss ratio : impacts of the Covid-19 pandemic on the trend of claims frequency |
dc.title.por.fl_str_mv |
Sinistralidade no mercado de seguros de automóvel : impactos da pandemia covid-19 na tendência de sinistralidade |
title |
Automobile Insurance Market loss ratio : impacts of the Covid-19 pandemic on the trend of claims frequency |
spellingShingle |
Automobile Insurance Market loss ratio : impacts of the Covid-19 pandemic on the trend of claims frequency Loss ratio Claims frequency Insurance Pandemic Trend sinistralidade frequência de sinistros Seguros Pandemia tendência |
title_short |
Automobile Insurance Market loss ratio : impacts of the Covid-19 pandemic on the trend of claims frequency |
title_full |
Automobile Insurance Market loss ratio : impacts of the Covid-19 pandemic on the trend of claims frequency |
title_fullStr |
Automobile Insurance Market loss ratio : impacts of the Covid-19 pandemic on the trend of claims frequency |
title_full_unstemmed |
Automobile Insurance Market loss ratio : impacts of the Covid-19 pandemic on the trend of claims frequency |
title_sort |
Automobile Insurance Market loss ratio : impacts of the Covid-19 pandemic on the trend of claims frequency |
dc.creator.fl_str_mv |
Costa, Renato Eliseu Yukie, Diana |
dc.contributor.author.none.fl_str_mv |
Costa, Renato Eliseu Yukie, Diana |
dc.subject.en.fl_str_mv |
Loss ratio Claims frequency Insurance Pandemic Trend |
topic |
Loss ratio Claims frequency Insurance Pandemic Trend sinistralidade frequência de sinistros Seguros Pandemia tendência |
dc.subject.por.fl_str_mv |
sinistralidade frequência de sinistros Seguros Pandemia tendência |
description |
Este trabalho visa analisar o impacto da pandemia de COVID-19 na sinistralidade do mercado de seguros brasileiro, utilizando as ferramentas de linguagem R. O objetivo central é identificar e analisar as tendências emergentes e os padrões de sinistralidade durante o período pandêmico, ampliando a compreensão das mudanças comportamentais desse mercado em situações de crise. Com esta pesquisa foi avaliado que ferramentas de Data Science and Analytics são importantes no setor de seguros, considerando o tamanho das informações que precisam ser tratadas e a agilidade, além disso, sobre o tema proposto identificou-se que a sinistralidade durante a pandemia teve um aumento expressivo ao contrário do que se esperava e após a pandemia ainda está tendo impactos. |
publishDate |
2024 |
dc.date.issued.none.fl_str_mv |
2024 |
dc.date.accessioned.none.fl_str_mv |
2025-01-27T19:48:21Z |
dc.date.available.none.fl_str_mv |
2025-01-27T19:48:21Z |
dc.type.none.fl_str_mv |
Artículo de revista |
dc.type.version.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Text |
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info:eu-repo/semantics/article |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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publishedVersion |
dc.identifier.citation.none.fl_str_mv |
Costa, R. E., & Yukie, D. . (2024). Sinistralidade no mercado de seguros de automóvel: : impactos da pandemia covid-19 na tendência de sinistralidade. CAFI, 7(2), 209–228. https://doi.org/10.23925/cafi.72.68113 |
dc.identifier.issn.none.fl_str_mv |
2595-1750 |
dc.identifier.uri.none.fl_str_mv |
https://revistas.pucsp.br/index.php/CAFI/article/view/68113 https://repositorio.uniremington.edu.co/handle/123456789/5967 |
dc.identifier.doi.none.fl_str_mv |
10.23925/cafi.72.68113 |
identifier_str_mv |
Costa, R. E., & Yukie, D. . (2024). Sinistralidade no mercado de seguros de automóvel: : impactos da pandemia covid-19 na tendência de sinistralidade. CAFI, 7(2), 209–228. https://doi.org/10.23925/cafi.72.68113 2595-1750 10.23925/cafi.72.68113 |
url |
https://revistas.pucsp.br/index.php/CAFI/article/view/68113 https://repositorio.uniremington.edu.co/handle/123456789/5967 |
dc.language.iso.none.fl_str_mv |
por |
language |
por |
dc.rights.none.fl_str_mv |
Copyright (c) CAFI - Contabilidade, Atuária, Finanças & Informação |
dc.rights.license.none.fl_str_mv |
CC BY 4.0 |
dc.rights.uri.none.fl_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.coar.none.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
CC BY 4.0 Copyright (c) CAFI - Contabilidade, Atuária, Finanças & Informação https://creativecommons.org/licenses/by/4.0/ http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.extent.none.fl_str_mv |
20 p. |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Pontifícia Universidade Católica de São Paulo - PUC/SP |
publisher.none.fl_str_mv |
Pontifícia Universidade Católica de São Paulo - PUC/SP |
institution |
Corporación Universitaria Remington |
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CC BY 4.0Copyright (c) CAFI - Contabilidade, Atuária, Finanças & Informaçãohttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Costa, Renato EliseuYukie, Diana2025-01-27T19:48:21Z2025-01-27T19:48:21Z2024Costa, R. E., & Yukie, D. . (2024). Sinistralidade no mercado de seguros de automóvel: : impactos da pandemia covid-19 na tendência de sinistralidade. CAFI, 7(2), 209–228. https://doi.org/10.23925/cafi.72.681132595-1750https://revistas.pucsp.br/index.php/CAFI/article/view/68113https://repositorio.uniremington.edu.co/handle/123456789/596710.23925/cafi.72.68113Este trabalho visa analisar o impacto da pandemia de COVID-19 na sinistralidade do mercado de seguros brasileiro, utilizando as ferramentas de linguagem R. O objetivo central é identificar e analisar as tendências emergentes e os padrões de sinistralidade durante o período pandêmico, ampliando a compreensão das mudanças comportamentais desse mercado em situações de crise. Com esta pesquisa foi avaliado que ferramentas de Data Science and Analytics são importantes no setor de seguros, considerando o tamanho das informações que precisam ser tratadas e a agilidade, além disso, sobre o tema proposto identificou-se que a sinistralidade durante a pandemia teve um aumento expressivo ao contrário do que se esperava e após a pandemia ainda está tendo impactos.This paper proposes a study on the impact of the COVID-19 pandemic on the loss ratio in the Brazilian insurance market, using R language tools. The main objective is to identify and analyze emerging trends and patterns of claims frequency during the pandemic period, enhancing the understanding of behavioral changes in this market during crisis situations. The project is also focused on applying these insights to risk management and strategic planning for companies in the sector. This research evaluated that Data Science and Analytics tools are of utmost importance in the insurance industry, considering the size of the information that needs to be processed and the required agility. Furthermore, regarding the proposed topic, it was discovered that loss ratio during the pandemic had a significant increase contrary to expectations, and after the pandemic, it is still having impacts.20 p.application/pdfporPontifícia Universidade Católica de São Paulo - PUC/SPLoss ratioClaims frequencyInsurancePandemicTrendsinistralidadefrequência de sinistrosSegurosPandemiatendênciaAutomobile Insurance Market loss ratio : impacts of the Covid-19 pandemic on the trend of claims frequencySinistralidade no mercado de seguros de automóvel : impactos da pandemia covid-19 na tendência de sinistralidadeArtículo de revistainfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTArtículo de revistaPublicationTEXTCAFI_v7n2a05.pdf.txtCAFI_v7n2a05.pdf.txtExtracted texttext/plain56760https://repositorio.uniremington.edu.co/bitstreams/a884f2fe-92a4-436d-8bc5-7c5fd28f8dd3/download34f4451dc9b7c22a23e10ecac03add72MD53THUMBNAILCAFI_v7n2a05.pdf.jpgCAFI_v7n2a05.pdf.jpgGenerated Thumbnailimage/jpeg5700https://repositorio.uniremington.edu.co/bitstreams/1f43e3dc-7139-4f43-84d3-0211ca0031a4/download0f8c749a90b904ffade53e02a38cecf9MD54LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.uniremington.edu.co/bitstreams/eceab0bc-3484-4b13-a0c0-b2b1394d1ebb/download8a4605be74aa9ea9d79846c1fba20a33MD52ORIGINALCAFI_v7n2a05.pdfCAFI_v7n2a05.pdfapplication/pdf561465https://repositorio.uniremington.edu.co/bitstreams/61a928ba-3e91-4db4-a596-7c466e26cf10/download60e27dcb12b84c07db02c2e52149b26dMD51123456789/5967oai:repositorio.uniremington.edu.co:123456789/59672025-01-31 17:00:59.634https://creativecommons.org/licenses/by/4.0/Copyright (c) CAFI - Contabilidade, Atuária, Finanças & Informaçãoopen.accesshttps://repositorio.uniremington.edu.coRepositorio UNIREMINGTONbiblioteca@uniremington.edu.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 |