Juan Carlos Gutiérrez Betancur

Estimación del riesgo de crédito en empresas del sector real en Colombia

Resumen:El objetivo de la presente investigacion es proponer un modelo probit para datos de panel desbalanceado con efectos aleatorios que permita estimar la probabilidad de quiebra de las empresas del sector real en Colombia, para inferir del riesgo de credito, tomando informacion de empresas solventes y en estres financiero, de las bases de datos de la Superintendencia de Sociedades y B.P.R, durante 2002-2008. Se partio del analisis fundamental, centrado en los indicadores de rentabilidad, apalancamiento, liquidez y solvencia, que propone Penman (2010). El aporte de esta investigacion es el enfasis en los apalancamientos operativo y financiero y su efecto en la probabilidad de quiebra. Como principal hallazgo se resalta el efecto menos nocivo del apalancamiento operativo frente al impacto del apalancamiento financiero en epocas de crisis.Abstract:The objective of this research is to proposed a Probit Model for unbalanced panel data with random effects to estimate the probability of bankruptcy in the real sector firms in Colombia, to infer of credit risk of solvent and in financial distress firms, taking information from solvent companies and financial stress, the databases of the Superintendency of Companies, and BPR, since 2002-2008. Was based on the fundamental analysis, focusing on indicators of profitability, leverage, liquidity and solvency proposed by Penman (2010). The contribution of this research is the emphasis on operating and financial leverage and its effect on the probability of bankruptcy. Like main finding is highlights the less harmful effect of operating leverage in front the impact of financial leverage in times of crisis.

Robust Estimation of beta and the hedging ratio in Stock Index Futures In the Integrated Latin American Market

This paper examines the effect exerted by outliers in the equity betas in the Integrated Latin American Market (MILA), estimated by two different methods: ordinary least squares (OLS) and robust estimation (RMM). To illustrate the empirical relevance of the estimated betas, we evaluate the hedging ratio using stock index futures. The results indicate that the estimates made by the RMM method provide a better fit and increase the efficiency of a hedging strategy when there are outliers in the estimation window of beta.

Estimación robusta de betas y el ratio de cobertura sobre futuros de índices bursátiles en el Mercado Integrado Latinoamericano (MILA)

This paper examines the effect exerted by outliers in the equity betas in the Integrated Latin American Market (MILA), estimated by two different methods: ordinary least squares (OLS) and robust estimation (RMM). To illustrate the empirical relevance of the estimated betas, we evaluate the hedging ratio using stock index futures. The results indicate that the estimates made by the RMM method provide a better fit and increase the efficiency of a hedging strategy when there are outliers in the estimation window of beta.