estimación de varios modelos de regresión en panel de datos, utilizando una regresión Pooled con estimadores de efectos fijos y aleatorios mediante el estimador de máxima verosimilitud. En general, se encontró una prima por cobertura estadística y financieramente significativa para empresas expuestas a riesgos de tipo de cambio que usan derivados de un 6.3% de promedio sobre el valor de mercado. Adicionalmente, se encontraron resultados mixtos con relación a las variables analizadas en el modelo.
Purpose
The purpose of this paper is to identify whether Latin American (LA) firms are adopting any hedging strategy when designing foreign exchange risk (FXR) measures. To that end, the authors explore the impact of several drivers of FXR management.
Design/methodology/approach
The sample consists of 342 non-financial listed firms established in a group of representative countries of the LA region and covers the period from 2008 to 2016. Hypothesis testing is performed through a Logit model that measures the likelihood to adopt hedging practices. In addition, a Tobit test offers further insights into the derivatives users.
Findings
The authors corroborate capital structure-related hypotheses such as tax goals, financial distress, liquidity and growth opportunities. In addition, both ownership concentration and income tax payable seem to be negative and significant determinants of FXR coverage.
Originality/value
Results reported in this study are relevant for the LA region with high tradition in raw materials and commodities exports. The results show that LA firms still make limited use of derivatives and there is still much room for improvement. Hence, additional efforts to promote FXR hedging should be desirable, to meet authorities’ recommendations (OECD et al., 2007). Further research exploring corporate governance relationships and differences between large and small firms might be helpful.
El presente trabajo tiene como objetivo evaluar la relación entre la Estructura de Propiedad y el desempeño financiero de empresas que cotizan en la Bolsa de Valores de Colombia (BVC), considerando el periodo 2011- 2015. Para tal fin, se categoriza la estructura de propiedad (EP), identificando el accionista controlante como accionista mayoritario y se emplea un modelo de panel de datos con efectos aleatorios. Se encuentra que los accionistas controlantes privados y controlantes extranjeros, tienen influencia significativa sobre el desempeño financiero medido por la Q-Tobin controlando además por la aplicación de las Normas Internacionales de Información Financiera (NIIF).
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