The objective of this article is to apply the technique of the PLS logistic regression to the forecast of the financial distress of the French firm. This research is motivated by the shortcomings of traditional models. The sample consisted of 800 French SMEs for which accounting and financial...

The aim of this paper is to compare between three statistical methods in predicting corporate financial distress. We will use the Discriminant Analysis, Logit model and Random Forest. These approaches are based on a sample of 800 companies during the period from 2006 to 2008, as well as on the...

Résumé: L’article s’inscrit dans le cadre des travaux de recherche sur les modèles de prévision de faillites, pouvant être utilisés pour détecter les problèmes financiers des PME. Dans ce travail, nous avons appliqué l’approche discriminante et l’approche de régression...

Comme pour toutes les crises, la défaillance des entreprises n'est perçue comme un problème que par celles ou ceux qui en sont directement ou indirectement les victimes et qui doivent en assumer les conséquences. La défaillance n’est pas du domaine exclusif des petites et moyennes...

Evaluer une entreprise en se limitant à la lecture du bilan financier est aujourd'hui une gageure et une source d'erreur. L'entreprise capitalise et produit d'autres valeurs qui ne sont pas toujours visibles financièrement. Il faut donc utiliser d'autres moyens pour s'approcher au plus près...

The aim of this paper to compare between two statistical methods in predicting corporate financial distress. We will use the PLS (Partial Least-Squares) discriminant analysis and support vector machine (SVM). The PLS discriminant analysis (PLS-DA) regression is a method connecting a qualitative...

Finite mixture distributions provide a flexible method for high-dimensional data modeling. They are widely used in many disciplines such as astronomy and genetics. One reason for their popularity is their flexibility and straightforward implementation. The interest increase in multivariate...

This paper examines the dynamic relationship between power spot prices and related trading volumes in one of the most emergent energy markets. Traditionally, investigating the bivariate stochastic processes has been dominated by linear econometrical methods that proved helpful especially in...

In the last decade, with deregulation and introduction of competition in power markets, prices forecasting have become a real challenge for all market participants. However, forecasting is a rather complex task since electricity prices involve many features comparably with financial ones....