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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| 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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| _version_ | 1858113931298471936 |
|---|---|
| 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 |
| format | article |
| id | REVCUESTEC_fa1ba1d17f9436c4a70d28afd826cd7e |
| identifier_str_mv | 10.47550/RCE/MEM/31.50 |
| instacron_str | BCE |
| institution | BCE |
| instname_str | Banco Central del Ecuador |
| language | spa |
| network_acronym_str | REVCUESTEC |
| network_name_str | Revista Cuestiones Económicas |
| 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 |
| repository_id_str | |
| 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 |