Default Prediction of Spanish Companies. A Logistic Analysis Cover Image

Default Prediction of Spanish Companies. A Logistic Analysis
Default Prediction of Spanish Companies. A Logistic Analysis

Author(s): Concepción Bartual, Francisco Guijarro, Ismael Moya, Fernando Garcia
Subject(s): Economy
Published by: Mykolas Romeris University
Keywords: Logit model; risk management; bankruptcy prediction

Summary/Abstract: In the field of credit risk management, the calculation of the probability of default of companies plays a key role. For that reason, bankruptcy prediction of companies has generated extensive research in the past decades. This paper applies one of the most popular techniques, the logistic regression. This technique is extensively used both by professionals and academics and is employed in many studies as a benchmark. Here we will apply it on a vast data base of the Spanish companies and a statistical analysis of the robustness of the model will be undertaken, with very satisfactory results.

  • Issue Year: 7/2013
  • Issue No: 3
  • Page Range: 333-343
  • Page Count: 11
  • Language: English
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