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Bankruptcy Prediction: A Survey on Evolution, Critiques, and Solutions
Acta Universitatis Sapientiae: Economics and Business, 2015 After the economic crisis and the BASEL agreement, the bankruptcy prediction research has evolved substantially due to its importance in corporate finance.
Fejér-Király Gergely
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Journal of King Saud University: Computer and Information Sciences, 2020 Bankruptcy prediction and credit risk analysis is one of the most significant problems in the field of accounting and financial decision making. Developing an effective classification rule induction (CRI) framework for bankruptcy prediction and credit ...
J. Uthayakumar +2 more
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Intelligent Model for Enhancing the Bankruptcy Prediction with Imbalanced Data Using Oversampling and CatBoost [PDF]
International Journal of Intelligent Computing and Information Sciences, 2022 Bankruptcy prediction is one of the most significant financial decision-making problems, which prevents financial institutions from sever risks. Most of bankruptcy datasets suffer from imbalanced distribution between output classes, which could lead to ...
Samar Aly +2 more
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Bankruptcy Prediction Models for Construction Companies in the Russian Federation
Финансы: теория и практика, 2019 The article is concerned with determining the main predictors of bankruptcy in construction organizations in the Russian Federation. Probabilistic prediction of bankruptcy is relevant for both individual companies and sectors of the national economy ...
A. V. Voiko
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Journal of Business Economics, 2022 AbstractThis study uses generalized additive models to identify and analyze nonlinear relationships between accounting-based and market-based independent variables and how these affect bankruptcy predictions. Specifically, it examines the independent variables that Altman (J Financ 23:589–609, 1968; Predicting financial distress of companies ...
Christian Lohmann +2 more
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Bankruptcy prediction models: A comparative analysis [PDF]
, 2022 openBankruptcy prediction models are one of the most reliable and useful quantitative tool in financial decision-making performed by financial institutions.
GREGGIO, NICOLÒ
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A Hybrid Approach Using Oversampling Technique and Cost-Sensitive Learning for Bankruptcy Prediction
Complexity, 2019 The diagnosis of bankruptcy companies becomes extremely important for business owners, banks, governments, securities investors, and economic stakeholders to optimize the profitability as well as to minimize risks of investments.
Tuong Le +4 more
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Application of support vector machines on the basis of the first Hungarian bankruptcy model [PDF]
, 2013 In our study we rely on a data mining procedure known as support vector machine (SVM) on the database of the first Hungarian bankruptcy model. The models constructed are then contrasted with the results of earlier bankruptcy models with the use of ...
Virág, Miklós +3 more
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On Unbalanced Sampling in Bankruptcy Prediction [PDF]
International Journal of Financial Studies, 2019 The paper discusses methodological topics of bankruptcy prediction modelling—unbalanced sampling, sample bias, and unbiased predictions of bankruptcy. Bankruptcy models are typically estimated with the use of non-random samples, which creates sample choice biases. We consider two types of unbalanced samples: (a) when bankrupt and non-bankrupt companies
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Computational Modelling for Bankruptcy Prediction: Semantic data Analysis Integrating Graph Database and Financial Ontology [PDF]
, 2019 In this paper, we propose a novel intelligent methodology to construct a Bankruptcy Prediction Computation Model, which is aimed to execute a company's financial status analysis accurately.
Yerashenia, N., Bolotov, A.
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