PREDICTING BUSINESS FAILURE USING DATA-MINING METHODS

Sami Ben Jabeur and Youssef Fahmi

No 2014-308, Working Papers from Department of Research, Ipag Business School

Abstract: 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) regress

Keywords: financial distress prediction; PLS discriminant analysis; Support Vector Machine (search for similar items in EconPapers)
Pages: 9 pages
Date: 2014-01-01
New Economics Papers: this item is included in nep-for
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