Measuring financial risk in non-financial firms: an application to the Colombian sugar sector

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Main Author: Stephanía Mosquera-López
Format: Artículo científico
Language:en
Published: Universidad del Valle 2015
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author Stephanía Mosquera-López
author_facet Stephanía Mosquera-López
contents Measuring financial risk in non-financial firms: an application to the Colombian sugar sector Stephanía Mosquera-López Ingeniería EVT VaR Copulas sugar market Investment projects optimal selection is relevant in making business decisions. In this paper a methodology that has not been extensively explored in the literature of measuring financial risk is applied to the Colombian sugar industry. This measurement serves as the basis for the evaluation of projects in a more robust manner, due to an adequate modeling of uncertainty. For the above, the Value at Risk of a company’s gross profit is determined using econometric techniques such as modeling the autoregressive conditional volatility of the series, multivariate modeling of the dependency relationships of the series through copulas, and simulation using Monte Carlo techniques. 2015 artículo científico 0123-3033 https://www.redalyc.org/articulo.oa?id=291340438005 en http://www.redalyc.org/revista.oa?id=2913 Ingeniería y Competitividad application/pdf Universidad del Valle Ingeniería y Competitividad (Colombia) Num.2 Vol.17
format Artículo científico
id redalyc_291340438005
institution Redalyc
language en
publishDate 2015
publisher Universidad del Valle
spellingShingle Measuring financial risk in non-financial firms: an application to the Colombian sugar sector
Stephanía Mosquera-López
Ingeniería
EVT
VaR
Copulas
sugar market
Measuring financial risk in non-financial firms: an application to the Colombian sugar sector Stephanía Mosquera-López Ingeniería EVT VaR Copulas sugar market Investment projects optimal selection is relevant in making business decisions. In this paper a methodology that has not been extensively explored in the literature of measuring financial risk is applied to the Colombian sugar industry. This measurement serves as the basis for the evaluation of projects in a more robust manner, due to an adequate modeling of uncertainty. For the above, the Value at Risk of a company’s gross profit is determined using econometric techniques such as modeling the autoregressive conditional volatility of the series, multivariate modeling of the dependency relationships of the series through copulas, and simulation using Monte Carlo techniques. 2015 artículo científico 0123-3033 https://www.redalyc.org/articulo.oa?id=291340438005 en http://www.redalyc.org/revista.oa?id=2913 Ingeniería y Competitividad application/pdf Universidad del Valle Ingeniería y Competitividad (Colombia) Num.2 Vol.17
title Measuring financial risk in non-financial firms: an application to the Colombian sugar sector
topic Ingeniería
EVT
VaR
Copulas
sugar market
url https://www.redalyc.org/articulo.oa?id=291340438005