Open AccessMicro-SME Characterization From Financial Statements
Author(s) -
Guillermo Ceballos-Santamaría,
Juan-José Villanueva-Álvaro,
José Mondéjar-Jiménez
Publication year - 2012
Publication title -
the international business and economic research journal/the international business and economics research journal
Language(s) - English
Resource type - Journals
eISSN - 2157-9393
pISSN - 1535-0754
DOI - 10.19030/iber.v11i13.7454
Subject(s) - univariate , business , directory , premise , exploratory analysis , finance , statistical analysis , financial statement analysis , financial statement , financial analysis , multivariate statistics , database , accounting , computer science , data science , statistics , mathematics , linguistics , philosophy , audit , machine learning , operating system
In recent years, small businesses have created interest and research, because they represent the majority of the business fabric and account for over seventy per cent of jobs in developed countries. Governments of these countries share a general interest in knowing about Small and Medium-Sized Enterprises (SME). Based on this premise, the approach of this study is to characterize micro-SMEs in the province of Cuenca, Spain, by analysis of financial statements, specifically analyzing their structure in financial terms by use of univariate and multivariate statistical techniques allowing this kind of business in the province of Cuenca to be identified. The information used comes from the databases of SABI (Iberian Financial Statement Analysis Systems), DIRCE (Central Business Directory and CamerData, the database of the Chambers of Commerce. The statistical analysis is centered on a classic modal of exploratory factor analysis, and finally the main results arising from the study are presented.