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Information system for the quantification of expected losses: An application in the entities of the colombian solidarity sector [Sistema de información para la cuantificación de pérdidas esperadas: Una aplicación en las entidades del sector solidario colombiano]

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Date
2021
Author
Arias-Serna M.A
Guzmán-Aguilar D.S
Valdez-Betancur D.

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TY - GEN T1 - Information system for the quantification of expected losses: An application in the entities of the colombian solidarity sector [Sistema de información para la cuantificación de pérdidas esperadas: Una aplicación en las entidades del sector solidario colombiano] Y1 - 2021 UR - http://hdl.handle.net/11407/7495 PB - Associacao Iberica de Sistemas e Tecnologias de Informacao AB - One of the fundamental aspects of credit risk management and administration is the incorporation of models that “adequately” capture the deterioration of the portfolio and that allow to minimize future losses. This article presents the implementation and design of the Loss Risk Management (LRM) information system that quantifies the monetary losses that financial sector entities could face if debtors do not fully and timely comply with the payment of obligations. This quantification allows anticipating a possible materialization of the loss and, therefore, avoids the detriment of the capital of financial institutions. © 2021, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved. ER - @misc{11407_7495, author = {}, title = {Information system for the quantification of expected losses: An application in the entities of the colombian solidarity sector [Sistema de información para la cuantificación de pérdidas esperadas: Una aplicación en las entidades del sector solidario colombiano]}, year = {2021}, abstract = {One of the fundamental aspects of credit risk management and administration is the incorporation of models that “adequately” capture the deterioration of the portfolio and that allow to minimize future losses. This article presents the implementation and design of the Loss Risk Management (LRM) information system that quantifies the monetary losses that financial sector entities could face if debtors do not fully and timely comply with the payment of obligations. This quantification allows anticipating a possible materialization of the loss and, therefore, avoids the detriment of the capital of financial institutions. © 2021, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.}, url = {http://hdl.handle.net/11407/7495} }RT Generic T1 Information system for the quantification of expected losses: An application in the entities of the colombian solidarity sector [Sistema de información para la cuantificación de pérdidas esperadas: Una aplicación en las entidades del sector solidario colombiano] YR 2021 LK http://hdl.handle.net/11407/7495 PB Associacao Iberica de Sistemas e Tecnologias de Informacao AB One of the fundamental aspects of credit risk management and administration is the incorporation of models that “adequately” capture the deterioration of the portfolio and that allow to minimize future losses. This article presents the implementation and design of the Loss Risk Management (LRM) information system that quantifies the monetary losses that financial sector entities could face if debtors do not fully and timely comply with the payment of obligations. This quantification allows anticipating a possible materialization of the loss and, therefore, avoids the detriment of the capital of financial institutions. © 2021, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved. OL Spanish (121)
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Abstract
One of the fundamental aspects of credit risk management and administration is the incorporation of models that “adequately” capture the deterioration of the portfolio and that allow to minimize future losses. This article presents the implementation and design of the Loss Risk Management (LRM) information system that quantifies the monetary losses that financial sector entities could face if debtors do not fully and timely comply with the payment of obligations. This quantification allows anticipating a possible materialization of the loss and, therefore, avoids the detriment of the capital of financial institutions. © 2021, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.
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http://hdl.handle.net/11407/7495
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