Un modelo de predicción de la insolvencia empresarial aplicado al sector textil y confección de Barcelona (1994-1997)

For the last 30 years the abundancy of quantitative models about insolvency prediction in the financial and accounting literature has awaked a great interest among the specialists and researchers of this field. What in the beginning were a few models with a unique objective, has derivated in a source of constant research. In this paper it is formulated an insolvency prediction model through a combination of different quantitative variables extracted from the Annual Accounts of a sample firms for the period 1994-1997. Using a stepwise procedure it has been chosen and interpreted which ratios were the most relevant as for information they take. What is more, two statistical procedures were used in this type of research: the logit and the multiple discriminant analysis. When we reached to this point, we compared which one let produce the best results.