Results 231 to 240 of about 1,378 (255)

A genetic algorithm application in bankruptcy prediction modeling

Expert Systems with Applications, 2002
Abstract Prediction of corporate failure using past financial data is a well-documented topic. Early studies of bankruptcy prediction used statistical techniques such as multiple discriminant analysis, logit and probit. Recently, however, numerous studies have demonstrated that artificial intelligence such as neural networks (NNs) can be an ...
Kyung-shik Shin, Yong-Joo Lee
openaire   +1 more source

Neuro-Genetic Approach for Bankruptcy Prediction Modeling

2004
Artificial neural network (ANN) modeling has become the dominant modeling paradigm for bankruptcy prediction. To further improve the neural network’s prediction capability, the integration of the ANN models and the hybridization of ANN with relevant paradigms such as evolutionary computing has been demanded.
Kyung-shik Shin, Kyoung Jun Lee
openaire   +2 more sources

Bankruptcy Prediction Models

Ancient Land
This paper provides a comprehensive review of the evolution of bankruptcy prediction and financial distress models, tracing the transition from traditional accounting-based static models to dynamic, market-driven, and artificial intelligence-enhanced approaches.
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A Comparison of Alternative Bankruptcy Prediction Models

Journal of Contemporary Accounting and Economics, 2010
Early models of bankruptcy prediction employed financial ratios drawn from pre-bankruptcy financial statements and performed well both in-sample and out-of-sample. Since then there has been an ongoing effort in the literature to develop models with even greater predictive performance. A significant innovation in the literature was the introduction into
Wu, Sean, Gaunt, Clive, Gray, Stephen
exaly   +5 more sources

Analysing the stability of bankruptcy prediction models

Afro-Asian J. of Finance and Accounting, 2020
The aim of this study is to assess the predictive power of logit model and hazard model in predicting bankruptcy and to analyse the stability of the models. Using Malaysian listed companies and a sample span from 1998 to 2014, this study found that, for the hazard model, all variables were significant while for the logit model only five variables were ...
Md Rus, Rohani, Taufil Mohd, Kamarun Nisham, Abdul Latif, Rohaida   +2 more
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Usage of Discriminant Models in Bankruptcy Prediction

Communications of International Proceedings, 2023
The financial situation is an important issue for company managers. An enterprise’s financial problems may threaten its insolvency; therefore, an analysis of the financial situation is necessary not only for ongoing management, but also helps protect against the negative effects of the economic downturn.
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History of Bankruptcy Prediction Models

The book highlights the significance of the year <strong>1968</strong> as a turning point in bankruptcy prediction research, when modern quantitative approaches began to emerge. It examines in detail the various internal and external risks such as financial, operational, market, and macroeconomic factors that may ultimately lead a company ...
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A Bankruptcy Prediction Model With Nontraditional Measures

2010
The purpose of this study is to examine whether a more relevant bankruptcy model is derived by combining unconventional measures with traditional financial statement ratios. A growing literature suggests that instead of only financial accounting ratios, long-term firm performance models are enhanced, balanced and more relevant by adding such ...
openaire   +1 more source

The Evaluation of Bankruptcy Prediction Models Based on Socio-Economic Costs

Expert Systems With Applications, 2023
Christian Haas, Jelena Radovanovic
exaly  

Dynamic Self-Organizing Feature Map-Based Models Applied to Bankruptcy Prediction

Decision Support Systems, 2021
Philippe du Jardin
exaly