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Predicción de la distribución de dividendos en Argentina empleando un modelo lineal generalizado mixto

Authors: Gonzalez, Mariana Verónica; Moneta Pizarro, Adrián M.;

Predicción de la distribución de dividendos en Argentina empleando un modelo lineal generalizado mixto

Abstract

Durante las últimas décadas, la política de dividendos seguida por las empresas ha sido un tema de interés en diversas investigaciones, con apreciaciones distintas sobre los resultados conseguidos. En general, se admite que la decisión de distribuir dividendos por parte de una empresa es el resultado de un conjunto de factores relacionados, desde limitaciones de carácter jurídico hasta cuestiones vinculadas a la estructura financiera de la entidad y su situación de liquidez, pasando por la capacidad de la empresa para generar beneficios de manera sostenida y las necesidades de fondos impuestas por sus proyectos de inversión. En este sentido, muchos autores utilizan un conjunto de ratios contables para medir la sensibilidad de dichas variables frente a la decisión de repartir cantidades a cuenta de beneficios.En este trabajo se ajustó un modelo logístico mixto para predecir ladecisión de distribuir dividendos por parte de empresas argentinas que cotizaron en bolsa, entre los años 2003 y 2010, utilizando información de los estados contables y ratios definidos en la bibliografía. Se destaca el importante poder predictivo del indicador que mide la rentabilidad en función de las ganancias de la explotación, definido como el cociente entre la utilidad antes de intereses e impuestos y el activo total de la empresa.

Country
Argentina
Keywords

Modelo lógico mixto, dividendos, Economics as a science, Dividendos, HF5001-6182, Argentina, Business, rentabilidad, modelo logístico mixto, Rentabilidad, HB71-74

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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!
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