Credit evaluation model for working capital using Python language applied to public banking: Case study in shrimp project

Macroeconomic theories and microeconomic fundamentals are studied to evaluate both the systematic risk and the specific risk of investment projects respectively. Consisting of two parts, the evaluation model contemplates the use of multiple regression in the Python programming language to analyze th...

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Главный автор: Cordero, Bernardo (author)
Формат: article
Язык:spa
Опубликовано: 2021
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Online-ссылка:https://estudioseconomicos.bce.fin.ec/index.php/RevistaCE/article/view/367
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author Cordero, Bernardo
author_facet Cordero, Bernardo
author_role author
collection Revista Cuestiones Económicas
dc.creator.none.fl_str_mv Cordero, Bernardo
dc.date.none.fl_str_mv 2021-11-23
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://estudioseconomicos.bce.fin.ec/index.php/RevistaCE/article/view/367
10.47550/RCE/MEM/31.50
dc.language.none.fl_str_mv spa
dc.publisher.none.fl_str_mv Banco Central del Ecuador
dc.relation.none.fl_str_mv https://estudioseconomicos.bce.fin.ec/index.php/RevistaCE/article/view/367/268
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv Cuestiones Económicas; Vol. 31 Núm. 3 (2021): Edición Especial: Memorias IV Encuentro Internacional de Economía EPN; Autor: Bernardo Cordero
2697-3367
2697-3367
reponame:Revista Cuestiones Económicas
instname:Banco Central del Ecuador
instacron:BCE
dc.subject.none.fl_str_mv Modelo econométrico
Python
Regresión múltiple
Capital de trabajo
ROIC
WACC
dc.title.none.fl_str_mv Credit evaluation model for working capital using Python language applied to public banking: Case study in shrimp project
Modelo de evaluación de crédito para capital de trabajo utilizando lenguaje Python aplicado a la banca pública: Caso de estudio en proyecto camaronero
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artículos de Investigación
description Macroeconomic theories and microeconomic fundamentals are studied to evaluate both the systematic risk and the specific risk of investment projects respectively. Consisting of two parts, the evaluation model contemplates the use of multiple regression in the Python programming language to analyze the variableprice dependent on other variables in the shrimp and prawn wholesale sector. Next, in a graphical way, the economic and financial performance of the shrimp company was quantitatively contrasted for its projection of the free cash flow (FCF) to analyze its viability of leverage with Banecuador BP, Corporación Financiera Nacional and Banco del Pacífico. Complementary to the net present value (NPV) and Internal Rate of Return (IRR) project decision indicators, the generation of value was calculated using the return on invested capital (ROIC) and the weighted average cost of capital (WACC) rate. ).  
eu_rights_str_mv openAccess
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oai_identifier_str oai:estudioseconomicos.bce.fin.ec:article/367
publishDate 2021
publisher.none.fl_str_mv Banco Central del Ecuador
reponame_str Revista Cuestiones Económicas
repository.mail.fl_str_mv
repository.name.fl_str_mv Revista Cuestiones Económicas - Banco Central del Ecuador
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spelling Credit evaluation model for working capital using Python language applied to public banking: Case study in shrimp projectModelo de evaluación de crédito para capital de trabajo utilizando lenguaje Python aplicado a la banca pública: Caso de estudio en proyecto camaronero Cordero, Bernardo Modelo econométricoPythonRegresión múltipleCapital de trabajoROICWACCMacroeconomic theories and microeconomic fundamentals are studied to evaluate both the systematic risk and the specific risk of investment projects respectively. Consisting of two parts, the evaluation model contemplates the use of multiple regression in the Python programming language to analyze the variableprice dependent on other variables in the shrimp and prawn wholesale sector. Next, in a graphical way, the economic and financial performance of the shrimp company was quantitatively contrasted for its projection of the free cash flow (FCF) to analyze its viability of leverage with Banecuador BP, Corporación Financiera Nacional and Banco del Pacífico. Complementary to the net present value (NPV) and Internal Rate of Return (IRR) project decision indicators, the generation of value was calculated using the return on invested capital (ROIC) and the weighted average cost of capital (WACC) rate. ).  Se estudian las teorías macroeconómicas y los fundamentos microeconómicos para evaluar tanto el riesgo sistemático como el riesgo específico de los proyectos de inversión respectivamente. Conformado de dos partes, el modelo de evaluación contempla el uso de regresión múltiple en el lenguaje de programación Python para analizar la variable dependiente precio frente a otras variables del sector de venta al por mayor de camarón y langostinos. A continuación, de forma gráfica se contrastó cuantitativamente el desempeño económico - financiero de la empresa camaronera para su proyección del free cash Flow (FCF) para analizar su viabilidad de apalancamiento con Banecuador BP, Corporación Financiera Nacional y Banco del Pacífico. Complementario a los indicadores de decisión de proyectos net present value (NPV) e Internal Rate of Return (IRR), se calculó la generación de valor empleando el return on invested capital (ROIC) y la tasa weighted average cost of capital (WACC).Banco Central del Ecuador2021-11-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículos de Investigaciónapplication/pdfhttps://estudioseconomicos.bce.fin.ec/index.php/RevistaCE/article/view/36710.47550/RCE/MEM/31.50Cuestiones Económicas; Vol. 31 Núm. 3 (2021): Edición Especial: Memorias IV Encuentro Internacional de Economía EPN; Autor: Bernardo Cordero2697-33672697-3367reponame:Revista Cuestiones Económicasinstname:Banco Central del Ecuadorinstacron:BCEspahttps://estudioseconomicos.bce.fin.ec/index.php/RevistaCE/article/view/367/268info:eu-repo/semantics/openAccess2021-11-29T15:22:13Zoai:estudioseconomicos.bce.fin.ec:article/367Portal de revistashttps://estudioseconomicos.bce.fin.ec/index.php/RevistaCEOrganismo de gobiernowww.bce.fin.echttps://estudioseconomicos.bce.fin.ec/index.php/RevistaCE/oaiEcuadoropendoar:2021-11-29T15:22:13falsePortal de revistashttps://estudioseconomicos.bce.fin.ec/index.php/RevistaCEOrganismo de gobiernowww.bce.fin.echttps://estudioseconomicos.bce.fin.ec/index.php/RevistaCE/oaiEcuadoropendoar:2021-11-29T15:22:13Revista Cuestiones Económicas - Banco Central del Ecuadorfalse
spellingShingle Credit evaluation model for working capital using Python language applied to public banking: Case study in shrimp project
Cordero, Bernardo
Modelo econométrico
Python
Regresión múltiple
Capital de trabajo
ROIC
WACC
status_str publishedVersion
title Credit evaluation model for working capital using Python language applied to public banking: Case study in shrimp project
title_full Credit evaluation model for working capital using Python language applied to public banking: Case study in shrimp project
title_fullStr Credit evaluation model for working capital using Python language applied to public banking: Case study in shrimp project
title_full_unstemmed Credit evaluation model for working capital using Python language applied to public banking: Case study in shrimp project
title_short Credit evaluation model for working capital using Python language applied to public banking: Case study in shrimp project
title_sort Credit evaluation model for working capital using Python language applied to public banking: Case study in shrimp project
topic Modelo econométrico
Python
Regresión múltiple
Capital de trabajo
ROIC
WACC
url https://estudioseconomicos.bce.fin.ec/index.php/RevistaCE/article/view/367