Decision-making, risk and corporate governance: a critique of methodological issues in bankruptcy/recovery prediction models

DOI10.1016/j.amc.2005.11.178zbMath1278.90197OpenAlexW2005697342MaRDI QIDQ870149

Michael Nwogugu

Publication date: 12 March 2007

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2005.11.178

zbMATH Keywords

dynamical systemsbankruptcydecision-makingbehavioral analysiscorporations lawlegal reasoninguncertainty and risk analysis

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50)

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Cites Work

• A survey of business failures with an emphasis on prediction methods and industrial applications
• Business failure prediction using rough sets
• Bankruptcy prediction using a data envelopment analysis.
• Genetic programming and rough sets: a hybrid approach to bankruptcy classification
• Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis
• A multicriteria decision aid methodology for sorting decision problems: The case of financial distress
• Neural network ensemble strategies for financial decision applications
• A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem
• Bankruptcy Prediction with Industry Effects
• Optimal Bankruptcy Time and Consumption/Investment Policies on an Infinite Horizon with a Continuous Debt Repayment Until Bankruptcy
• Variable Selection in Data Mining
• Default probabilities in a corporate bank portfolio: a logistic model approach.

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