MODELO DE PROGRAMACIÓN NO LINEAL PARA LA DECISIÓN DE PRESUPUESTO DE CAPITAL EN INICIO
DOI:
https://doi.org/10.18028/rgfc.v11i3.9232Palabras clave:
Capital Emprendedor, Gradiente Reducido Generalizado, Programacion, Programacion No Lineal, Pequeñas y Medianas Empresas, Presupuesto de CapitalResumen
Obtener información del mercado y las dificultades para acceder al financiamiento externo son barreras tradicionales para la planificación financiera que reflejan las oportunidades de crecimiento de las nuevas empresas de alta tecnología en los mercados emergentes. También faltan estudios que propongan un enfoque metodológico sólido para estos temas. Este artículo desarrolla dos modelos de soporte de decisiones basados en el algoritmo de programación no lineal GRG (Gradiente reducido generalizado), que se aplica en el contexto del presupuesto de capital en pequeñas y medianas empresas de alta tecnología. El modelo se concibió a partir de la preparación de tres estados financieros básicos, que son el estado de resultados del año, el estado de flujo de efectivo y el balance general. El estudio nos permitió considerar lo trade-off entre la estructura de capital y el valor en las empresas de alta tecnología en los mercados emergentes, cuyas contribuciones pueden ser útiles para la comunidad de empresarios, analistas financieros, inversores y responsables de políticas públicas que participan en el modelado y la planificación de los nuevos mecanismos de financiación para startups.
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