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Flujo de caja con simulaciones Monte Carlo en lenguaje de programación R

Authors: Durán Cortés, José Alfredo;

Flujo de caja con simulaciones Monte Carlo en lenguaje de programación R

Abstract

Se realizó el análisis de riesgo financiero del flujo de caja de un proyecto hipotético en valores corrientes –con inflación– -- El modelo de riesgo fue simulado mediante el método estadístico Monte Carlo -- El desarrollo de todo el ejercicio fue realizado en el lenguaje de programación R, con el objetivo general de dar pautas pedagógicas para el uso de R en el campo de la evaluación financiera de riesgos en los proyectos de inversión privada -- La primera parte de esta investigación es la introducción, que define el alcance del documento y explica las ventajas de uso del lenguaje R en el análisis cuantitativo; la segunda parte es el marco de referencia conceptual, utilizado en el desarrollo del trabajo; la tercera parte es la metodología de solución y las fuentes de investigación, para la obtención de las herramientas y conocimientos con los cuales se desarrolló del análisis cuantitativo; la cuarta parte es el desarrollo cuantitativo en lenguaje de programación R del análisis financiero y de riesgos del proyecto hipotético; la quinta parte es un apartado de la programación de algunos indicadores financieros para simulaciones Monte Carlo que pueden ser utilizados en otras evaluaciones de riesgo financiero; la sexta parte son las reflexiones financieras y de riesgo finales sobre el rechazo de la inversión del proyecto hipotético planteado en el documento; la séptima parte son las conclusiones, divididas en un relato sobre cambios en las variables de entrada u otros posibles análisis financieros y de riesgos para realizar en la evaluación del proyecto hipotético, y en una reflexión sobre el aprendizaje del lenguaje de programación R

The financial risk analysis of the cash flow of a hypothetical project in current values –with inflation– was carried out -- The risk model was simulated using the Monte Carlo statistical method -- The development of the whole exercise was carried out in the R programming language, with the general objective of providing pedagogical guidelines for the use of R in the field of financial risk assessment in private investment projects -- The first part of this research is the introduction, which defines the scope of the document and explains the advantages of using the R language in quantitative analysis; the second part is the conceptual frame of reference, used in the development of work; the third part is the solution methodology and research sources, to obtain the tools and knowledge with which the quantitative analysis was developed; the fourth part is the quantitative development, in language R, of the financial and risk analysis of the hypothetical project; the fifth part is a section of the programming of some financial indicators for Monte Carlo simulations that can be used in other financial risk assessments; the sixth part is the final financial and risk considerations on the rejection of the investment of the hypothetical project raised in the document; The seventh part is the conclusions, divided into a story about changes in the input variables or other possible financial and risk analysis to be carried out in the evaluation of the hypothetical project, and in a reflection on the learning of the programming language R

Magíster en Gerencia de Proyectos

Maestría

Country
Colombia
Related Organizations
Keywords

ANÁLISIS FINANCIERO, MÉTODO DE MONTECARLO, Cash flow, Análisis estadístico en finanzas, R (Lenguaje de programación), EVALUACIÓN DE RIESGOS, FLUJO DE CAJA, Financial analysis, Monte carlo method, DISEÑO EXPERIMENTAL, Experimental design, Risk assessment

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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