HOW DO DIFFERENT TIME SPANS AFFECT THE PREDICTION ACCURACY OF BUSINESS FAILURE?
X. Càmara-Turull. Department of Business Management. Faculty of Business and Economics. Universitat Rovira i Virgili
Fernández Izquierdo. Department of Finance and Accounting. Faculty of Law and Economics. Universitat Jaume I
M.T. Sorrosal Forradellas. Department of Business Management. Faculty of Business and Economics. Universitat Rovira i Virgili
- Fuzzy Economic Review: Volume XX, Number 1. May 2015
- DOI: 10.25102/fer.2015.01.04
The prediction of business failure has been widely studied by many authors. Most of the studies focused on improve the results by applying new methodologies or by using more suitable financial information. This study aims to analyze the impact of the input data timeframe on the prediction accuracy of business failure. Using an artificial neural network, the selforganizing maps (SOM), we compare the results obtained by using 9, 6 and 3 years of input data. We concluded that the 3-year case provides a better global results despite of the 6-year case presents the lowest error type I.