Caracterización y predicción de la siniestralidad en el seguro de vida deudores de una cooperativa de ahorro y crédito

En este estudio se realizaron análisis estadísticos alrededor de los datos de siniestralidad de la póliza vida deudores de una entidad financiera obtenidos en los últimos cinco años. Esta póliza representa gran importancia para una entidad financiera, dado que es la que protege y resguarda los saldo...

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Autores:
Ruiz Machuca, Leidy Magally
Tipo de recurso:
http://purl.org/coar/version/c_b1a7d7d4d402bcce
Fecha de publicación:
2016
Institución:
Universidad Industrial de Santander
Repositorio:
Repositorio UIS
Idioma:
spa
OAI Identifier:
oai:noesis.uis.edu.co:20.500.14071/35513
Acceso en línea:
https://noesis.uis.edu.co/handle/20.500.14071/35513
https://noesis.uis.edu.co
Palabra clave:
Caracterización Predicción Siniestralidad Series De Tiempo Análisis De Correspondencias
This work contain the statistical analyzes of data bases about the insurance claims of a financial company since five years ago
specifically from 2011 to 2015. The policy of the credits represents the most important policy for a financial company
because it protects and preserves the balance of loans granted to customers
in case that they cannot continue to pay their debt because present a total and permanent disability or loss labor capacity
or death during the term of the loan
this policy is responsible for paying in such cases
as long as they meet the conditions of the contract. In the event that the insurer who has contracted this policy does not give a positive response to this payment
the financial company has to take care of this value
because of it is required to analyze the behavior that has been presented and the demographics and occupation characteristics of customers that influencing these claims
with the aim of reducing this index
and likewise be achieved within the control limits established by the insurance companies. In this work
was apply the methods of time series and correspondence analysis to achieve a prediction of future claims for this concept and characterization of these customers to implement preventive actions to these events.
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Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
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network_acronym_str UISANTADR2
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repository_id_str
dc.title.none.fl_str_mv Caracterización y predicción de la siniestralidad en el seguro de vida deudores de una cooperativa de ahorro y crédito
dc.title.english.none.fl_str_mv Characterization Prediction Accident Time Series Correspondence Analysis
title Caracterización y predicción de la siniestralidad en el seguro de vida deudores de una cooperativa de ahorro y crédito
spellingShingle Caracterización y predicción de la siniestralidad en el seguro de vida deudores de una cooperativa de ahorro y crédito
Caracterización Predicción Siniestralidad Series De Tiempo Análisis De Correspondencias
This work contain the statistical analyzes of data bases about the insurance claims of a financial company since five years ago
specifically from 2011 to 2015. The policy of the credits represents the most important policy for a financial company
because it protects and preserves the balance of loans granted to customers
in case that they cannot continue to pay their debt because present a total and permanent disability or loss labor capacity
or death during the term of the loan
this policy is responsible for paying in such cases
as long as they meet the conditions of the contract. In the event that the insurer who has contracted this policy does not give a positive response to this payment
the financial company has to take care of this value
because of it is required to analyze the behavior that has been presented and the demographics and occupation characteristics of customers that influencing these claims
with the aim of reducing this index
and likewise be achieved within the control limits established by the insurance companies. In this work
was apply the methods of time series and correspondence analysis to achieve a prediction of future claims for this concept and characterization of these customers to implement preventive actions to these events.
title_short Caracterización y predicción de la siniestralidad en el seguro de vida deudores de una cooperativa de ahorro y crédito
title_full Caracterización y predicción de la siniestralidad en el seguro de vida deudores de una cooperativa de ahorro y crédito
title_fullStr Caracterización y predicción de la siniestralidad en el seguro de vida deudores de una cooperativa de ahorro y crédito
title_full_unstemmed Caracterización y predicción de la siniestralidad en el seguro de vida deudores de una cooperativa de ahorro y crédito
title_sort Caracterización y predicción de la siniestralidad en el seguro de vida deudores de una cooperativa de ahorro y crédito
dc.creator.fl_str_mv Ruiz Machuca, Leidy Magally
dc.contributor.advisor.none.fl_str_mv Yañez Canal, Gabriel
dc.contributor.author.none.fl_str_mv Ruiz Machuca, Leidy Magally
dc.subject.none.fl_str_mv Caracterización Predicción Siniestralidad Series De Tiempo Análisis De Correspondencias
topic Caracterización Predicción Siniestralidad Series De Tiempo Análisis De Correspondencias
This work contain the statistical analyzes of data bases about the insurance claims of a financial company since five years ago
specifically from 2011 to 2015. The policy of the credits represents the most important policy for a financial company
because it protects and preserves the balance of loans granted to customers
in case that they cannot continue to pay their debt because present a total and permanent disability or loss labor capacity
or death during the term of the loan
this policy is responsible for paying in such cases
as long as they meet the conditions of the contract. In the event that the insurer who has contracted this policy does not give a positive response to this payment
the financial company has to take care of this value
because of it is required to analyze the behavior that has been presented and the demographics and occupation characteristics of customers that influencing these claims
with the aim of reducing this index
and likewise be achieved within the control limits established by the insurance companies. In this work
was apply the methods of time series and correspondence analysis to achieve a prediction of future claims for this concept and characterization of these customers to implement preventive actions to these events.
dc.subject.keyword.none.fl_str_mv This work contain the statistical analyzes of data bases about the insurance claims of a financial company since five years ago
specifically from 2011 to 2015. The policy of the credits represents the most important policy for a financial company
because it protects and preserves the balance of loans granted to customers
in case that they cannot continue to pay their debt because present a total and permanent disability or loss labor capacity
or death during the term of the loan
this policy is responsible for paying in such cases
as long as they meet the conditions of the contract. In the event that the insurer who has contracted this policy does not give a positive response to this payment
the financial company has to take care of this value
because of it is required to analyze the behavior that has been presented and the demographics and occupation characteristics of customers that influencing these claims
with the aim of reducing this index
and likewise be achieved within the control limits established by the insurance companies. In this work
was apply the methods of time series and correspondence analysis to achieve a prediction of future claims for this concept and characterization of these customers to implement preventive actions to these events.
description En este estudio se realizaron análisis estadísticos alrededor de los datos de siniestralidad de la póliza vida deudores de una entidad financiera obtenidos en los últimos cinco años. Esta póliza representa gran importancia para una entidad financiera, dado que es la que protege y resguarda los saldos de los créditos otorgados a los clientes, que en caso de no poder seguir respondiendo por su deuda por presentar una Incapacidad total y permanente o pérdida de la capacidad laborar, o por fallecer durante la vigencia del crédito, es esta póliza la que se encarga de pagar en dichos casos, siempre y cuando se cumplan con las condiciones de dicho contrato. En el caso de que la aseguradora con la que se tiene contratada dicha póliza no dé una respuesta positiva a este pago, es la entidad financiera quien tiene que hacerse cargo de este valor. Es por esto que se requiere analizar el comportamiento que ha venido presentado y las características ya sean demográficas o laborales, que tienen los clientes y que influyen en el momento de presentar estas reclamaciones, con el ánimo de reducir este índice, y así mismo lograr estar dentro de los límites de control establecidos por las compañías aseguradoras. En este trabajo se desea aplicar los métodos de series de tiempo y análisis de correspondencia, para lograr así una predicción de las futuras reclamaciones por este concepto y la caracterización de estos clientes para la implementación de acciones preventivas ante estos hechos.
publishDate 2016
dc.date.available.none.fl_str_mv 2016
2024-03-03T22:50:00Z
dc.date.created.none.fl_str_mv 2016
dc.date.issued.none.fl_str_mv 2016
dc.date.accessioned.none.fl_str_mv 2024-03-03T22:50:00Z
dc.type.local.none.fl_str_mv Tesis/Trabajo de grado - Monografía - Pregrado
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dc.identifier.uri.none.fl_str_mv https://noesis.uis.edu.co/handle/20.500.14071/35513
dc.identifier.instname.none.fl_str_mv Universidad Industrial de Santander
dc.identifier.reponame.none.fl_str_mv Universidad Industrial de Santander
dc.identifier.repourl.none.fl_str_mv https://noesis.uis.edu.co
url https://noesis.uis.edu.co/handle/20.500.14071/35513
https://noesis.uis.edu.co
identifier_str_mv Universidad Industrial de Santander
dc.language.iso.none.fl_str_mv spa
language spa
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
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dc.rights.license.none.fl_str_mv Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
dc.rights.uri.none.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0
dc.rights.creativecommons.none.fl_str_mv Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
rights_invalid_str_mv Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
http://creativecommons.org/licenses/by/4.0/
http://creativecommons.org/licenses/by-nc/4.0
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Industrial de Santander
dc.publisher.faculty.none.fl_str_mv Facultad de Ciencias
dc.publisher.program.none.fl_str_mv Especialización en Estadística
dc.publisher.school.none.fl_str_mv Escuela de Matemáticas
publisher.none.fl_str_mv Universidad Industrial de Santander
institution Universidad Industrial de Santander
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spelling Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by-nc/4.0Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)http://purl.org/coar/access_right/c_abf2Yañez Canal, GabrielRuiz Machuca, Leidy Magally2024-03-03T22:50:00Z20162024-03-03T22:50:00Z20162016https://noesis.uis.edu.co/handle/20.500.14071/35513Universidad Industrial de SantanderUniversidad Industrial de Santanderhttps://noesis.uis.edu.coEn este estudio se realizaron análisis estadísticos alrededor de los datos de siniestralidad de la póliza vida deudores de una entidad financiera obtenidos en los últimos cinco años. Esta póliza representa gran importancia para una entidad financiera, dado que es la que protege y resguarda los saldos de los créditos otorgados a los clientes, que en caso de no poder seguir respondiendo por su deuda por presentar una Incapacidad total y permanente o pérdida de la capacidad laborar, o por fallecer durante la vigencia del crédito, es esta póliza la que se encarga de pagar en dichos casos, siempre y cuando se cumplan con las condiciones de dicho contrato. En el caso de que la aseguradora con la que se tiene contratada dicha póliza no dé una respuesta positiva a este pago, es la entidad financiera quien tiene que hacerse cargo de este valor. Es por esto que se requiere analizar el comportamiento que ha venido presentado y las características ya sean demográficas o laborales, que tienen los clientes y que influyen en el momento de presentar estas reclamaciones, con el ánimo de reducir este índice, y así mismo lograr estar dentro de los límites de control establecidos por las compañías aseguradoras. En este trabajo se desea aplicar los métodos de series de tiempo y análisis de correspondencia, para lograr así una predicción de las futuras reclamaciones por este concepto y la caracterización de estos clientes para la implementación de acciones preventivas ante estos hechos.EspecializaciónEspecialista en EstadísticaCharacterization and prediction of accident in life insurance bebtors a cooperative savings and creditapplication/pdfspaUniversidad Industrial de SantanderFacultad de CienciasEspecialización en EstadísticaEscuela de MatemáticasCaracterización Predicción Siniestralidad Series De Tiempo Análisis De CorrespondenciasThis work contain the statistical analyzes of data bases about the insurance claims of a financial company since five years agospecifically from 2011 to 2015. The policy of the credits represents the most important policy for a financial companybecause it protects and preserves the balance of loans granted to customersin case that they cannot continue to pay their debt because present a total and permanent disability or loss labor capacityor death during the term of the loanthis policy is responsible for paying in such casesas long as they meet the conditions of the contract. In the event that the insurer who has contracted this policy does not give a positive response to this paymentthe financial company has to take care of this valuebecause of it is required to analyze the behavior that has been presented and the demographics and occupation characteristics of customers that influencing these claimswith the aim of reducing this indexand likewise be achieved within the control limits established by the insurance companies. In this workwas apply the methods of time series and correspondence analysis to achieve a prediction of future claims for this concept and characterization of these customers to implement preventive actions to these events.Caracterización y predicción de la siniestralidad en el seguro de vida deudores de una cooperativa de ahorro y créditoCharacterization Prediction Accident Time Series Correspondence AnalysisTesis/Trabajo de grado - Monografía - Pregradohttp://purl.org/coar/resource_type/c_7a1fhttp://purl.org/coar/version/c_b1a7d7d4d402bcceORIGINALCarta de autorización.pdfapplication/pdf234150https://noesis.uis.edu.co/bitstreams/419579fb-b894-490f-8803-45ebfd9d972d/download71dbd01643eb07e8b0e995a0267c2f0aMD51Documento.pdfapplication/pdf1640012https://noesis.uis.edu.co/bitstreams/2330946d-213f-4e05-a4a5-c181eade5033/download309c1f4d1e3aaa060ca1217df6208d59MD52Nota de proyecto.pdfapplication/pdf73101https://noesis.uis.edu.co/bitstreams/ad09784a-2036-41d0-bb02-b4b887a54c55/download75024e3c26ce5f31e413667a7cf3af97MD5320.500.14071/35513oai:noesis.uis.edu.co:20.500.14071/355132024-03-03 17:50:00.788http://creativecommons.org/licenses/by-nc/4.0http://creativecommons.org/licenses/by/4.0/open.accesshttps://noesis.uis.edu.coDSpace at UISnoesis@uis.edu.co