The Discriminant Analysis: an Exploratory Study Concerning the Degree of Financial Autonomy of Companies in the Context of the Romanian Business Environment

Abstract

This study aims at analyzing the evolution of financial autonomy on a sample of 80 companies quoted in the Bucharest Stock Exchange, between 2006-2008. Classically, financial autonomy is measured using the global and day-to-day rates of financial autonomy. However, this study has tested the dependency between the global rate of financial autonomy (Own Capital/ Total debts) and a series of economic and financial indicators, with the purpose of obtaining both a score function that would help making a classification of the companies subject to our analysis, in performance groups (companies with a high financial autonomy, companies with a medium financial autonomy, companies with a low financial autonomy, and companies with no financial autonomy), and quantifying the influence of the relative variations of these economic and financial indicators on the relative variation of financial autonomy. In order to calculate the results, the statistic instrument SPSS 15.0 was used, and the work method was the discriminant analysis and the regression and multiple correlation analysis.

Keywords

• cluster analysis
• financial autonomy
• internal financing
• crisis
• discriminant analysis