| dc.contributor.author | Navarro Claro, Genny Torcoroma | |
| dc.contributor.author | Bayona Soto, José Andrés | |
| dc.coverage.spatial | Colombia | en_US |
| dc.date.accessioned | 2025-03-31T14:32:22Z | |
| dc.date.available | 2025-03-31T14:32:22Z | |
| dc.date.issued | 2024 | |
| dc.identifier.issn | 0067-3064 | en_US |
| dc.identifier.uri | https://repositorioinstitucional.ufpso.edu.co/xmlui/handle/20.500.14167/5050 | |
| dc.description.abstract | El estudio "Análisis de Pronósticos de Quiebra en el Subsector Manufacturero de Norte de Santander, Colombia (2015-2022)" ofrece una evaluación empírica de la estabilidad financiera en esta región, utilizando como fundamento teórico la teoría de la estructura de capital de Modigliani y Miller y el modelo Z-Score de Altman para riesgos de quiebra. Mediante un enfoque cuantitativo que incluye análisis de series de tiempo, se analizan los factores internos y externos que afectan la competitividad financiera del subsector. La investigación destaca las contribuciones y limitaciones de la teoría de la estructura de capital y el modelo Z-Score en la práctica, y analiza la integración de tecnologías avanzadas como la inteligencia artificial para optimizar las predicciones de riesgo financiero. Mediante muestreo intencional y análisis documental, se identifican patrones y se evalúa la solvencia empresarial, proporcionando una visión detallada de la resiliencia del sector ante los desafíos económicos. Este estudio proporciona información valiosa para quienes se interesan en la sostenibilidad financiera del sector manufacturero, destacando la importancia de adaptar las estrategias de gestión de riesgos a las particularidades regionales. Su contribución a la literatura especializada radica en ofrecer una perspectiva actualizada sobre la previsión de quiebras y la gestión financiera adaptada al contexto específico de la economía emergente colombiana. | en_US |
| dc.language.iso | spa | en_US |
| dc.relation | https://balticajournal.com/baltica/index.php/pdf/stream/dOR3m/1710362464 | en_US |
| dc.title | Análisis de pronósticos de quiebra: estudio empírico del subsector manufacturero de Norte de Santander, Colombia | en_US |
| dc.title.translated | Bankruptcy forecast analysis: empirical study of the manufacturing subsector of Norte de Santander, Colombia | en_US |
| dc.contributor.cvlac | [0001432379] | en_US |
| dc.contributor.cvlac | [0000033854] | en_US |
| dc.contributor.googlescholar | [x_HNro8AAAAJ] | en_US |
| dc.contributor.googlescholar | [gJseD9IAAAAJ] | en_US |
| dc.contributor.orcid | [0000-0003-3225-9028] | en_US |
| dc.contributor.orcid | [0000-0002-2722-5053] | en_US |
| dc.contributor.researchgate | [Genny-Navarro] | en_US |
| dc.contributor.researchgate | [Jose-Soto-72] | en_US |
| dc.contributor.scopus | [57195914835] | en_US |
| dc.description.abstractenglish | The study "Bankruptcy Forecast Analysis in the Manufacturing Subsector of Norte de Santander, Colombia (2015 – 2022)" offers an empirical evaluation of financial stability in this region, using the capital structure theory of Modigliani and Miller and the Altman Z-Score model for bankruptcy risks as a theoretical foundation. Through a quantitative approach that includes time series analysis, the internal and external factors that affect the financial competitiveness of the subsector are analyzed. The research highlights the contributions and limitations of capital structure theory and the Z-Score model in real practices, and discusses the integration of advanced technologies such as artificial intelligence to fine-tune financial risk predictions. Using purposeful sampling and documentary analysis, patterns are identified and business solvency is assessed, providing a detailed view of the sector's resilience in the face of economic challenges. This study provides valuable insights for those interested in the financial sustainability of the manufacturing sector, highlighting the importance of adapting risk management strategies to regional particularities. Its contribution to the specialized literature lies in offering an updated perspective on bankruptcy forecasting and financial management adapted to the specific context of the Colombian emerging economy. | en_US |
| dc.subject.proposal | Pronóstico de quiebra | en_US |
| dc.subject.proposal | Modelo Altman Z-Score | en_US |
| dc.subject.proposal | Estructura de capital | en_US |
| dc.subject.proposal | Sector manufacturero | en_US |
| dc.subject.keywords | bankruptcy forecast | en_US |
| dc.subject.keywords | Altman Z-Score model | en_US |
| dc.subject.keywords | capital structure | en_US |
| dc.subject.keywords | Manufacturing sector | en_US |
| dc.subject.lemb | Análisis de pronósticos de quiebra | en_US |
| dc.subject.lemb | estudio empírico | en_US |
| dc.subject.lemb | Norte de Santander, Colombia | en_US |
| dc.subject.lemb | Bankruptcy forecast analysis | en_US |
| dc.subject.lemb | empirical study | en_US |
| dc.subject.lemb | manufacturero | en_US |
| dc.subject.lemb | manufacturing | en_US |
| dc.publisher.faculty | Facultad ciencias administrativas y económicas | en_US |
| dc.type.redcol | http://purl.org/redcol/resource_type/ART | en_US |
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| dc.identifier.DOI | https://doi.org/10.59879/dor3m | en_US |