TY  - JOUR
AB  - Describes the ability of modern computer‐driven multivariate statistical analysis to deal with complex data and the development of statistical models for predicting financial distress. Applies multivariate techniques to 1986‐1991 financial ratio data for Australian failed (29) and nonfailed (42) companies; and explains the techniques used (principal components analysis, factor analysis, discriminant analysis and cluster analysis) and the different types of information they can provide to help identify the distress levels of companies. Predicts that multivariate methods will change the way researchers think about problems and design their research. An unusually clear exposition of the application of multivariate methods.
VL  - 27
IS  - 4
SN  - 0307-4358
DO  - 10.1108/03074350110767132
UR  - https://doi.org/10.1108/03074350110767132
AU  - Gamesalingam S.
AU  - Kumar Kuldeep
PY  - 2001
Y1  - 2001/01/01
TI  - Detection of financial distress via multivariate statistical analysis
T2  - Managerial Finance
PB  - MCB UP Ltd
SP  - 45
EP  - 55
Y2  - 2024/04/19
ER  -