Bankruptcy prediction using a data envelopment analysis.
From MaRDI portal
Publication:1420494
DOI10.1016/S0377-2217(03)00186-3zbMath1146.90441MaRDI QIDQ1420494
Anja Cielen, Koen Vanhoof, Ludo M. K. Peeters
Publication date: 2 February 2004
Published in: European Journal of Operational Research (Search for Journal in Brave)
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (19)
Data envelopment analysis may obfuscate corporate financial data: using support vector machine and data envelopment analysis to predict corporate failure for nonmanufacturing firms ⋮ Trajectories of efficiency measurement: a bibliometric analysis of DEA and SFA ⋮ Can R\&D expenditure avoid corporate bankruptcy? Comparison between Japanese machinery and electric equipment industries using DEA-discriminant analysis ⋮ Bank efficiency and failure prediction: a nonparametric and dynamic model based on data envelopment analysis ⋮ An out-of-sample evaluation framework for DEA with application in bankruptcy prediction ⋮ Bankruptcy prediction in banks and firms via statistical and intelligent techniques -- a review ⋮ A study on the financial efficiency analysis method by redesigning the DEA model ⋮ Decision-making, risk and corporate governance: a critique of methodological issues in bankruptcy/recovery prediction models ⋮ Firm credit risk evaluation: a series two-stage DEA modeling framework ⋮ An Integrated machine learning and DEA-predefined performance outcome prediction framework with high-dimensional imbalanced data ⋮ A hybrid approach using two-level DEA for financial failure prediction and integrated SE-DEA and GCA for indicators selection ⋮ Does marginal productivity of product mix matter? Data envelopment analysis for marginal profit consistency in Taiwan's life insurance industry ⋮ DEA as a tool for bankruptcy assessment: A comparative study with logistic regression technique ⋮ Forecasting corporate failure using ensemble of self-organizing neural networks ⋮ Bankruptcy prediction using terminal failure processes ⋮ FUZZY, DISTRIBUTED, INSTANCE COUNTING, AND DEFAULT ARTMAP NEURAL NETWORKS FOR FINANCIAL DIAGNOSIS ⋮ Evaluation of credit risk based on firm performance ⋮ Methodological comparison between DEA (data envelopment analysis) and DEA-DA (discriminant analysis) from the perspective of bankruptcy assessment ⋮ DEA-DA for bankruptcy-based performance assessment: misclassification analysis of Japanese construction industry
Uses Software
This page was built for publication: Bankruptcy prediction using a data envelopment analysis.
