Results 261 to 270 of about 7,744,752 (291)

Bankruptcy prediction models

2023
Η παρούσα εργασία στοχεύει να εξετάσει και να αναλύσει τα παρακάτω: εάν τα μοντέλα πρόβλεψης πτώχευσης μπορούν να προβλέψουν με ακρίβεια τη χρεοκοπία και, επίσης, εάν ο αριθμός των πτωχεύσεων αυξήθηκε λόγω της περιόδου του Covid. Οι ευρωπαϊκές επιχειρήσεις που λειτουργούσαν και αυτές που είχαν αποτύχει ερευνήθηκαν προκειμένου να δοθούν οι απαντήσεις ...
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Analysis of a Bankruptcy Prediction Model for Companies in Chile

2021
The objective of this research is to examine bankruptcy prediction models and their application in companies in Chile. For this, bankruptcy regulations in Chile and internationally, specifically the United States and Colombia, are analyzed. In turn, the procedures that companies can use today are examined.
Benito Umaña-Hermosilla, Hanns de la Fuente Mella, Claudio Elórtegui-Gómez, Jorge Ferrada-Rodríguez, Mauricio Arce-Rojas   +4 more
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Symptoms of Bankruptcy and Prediction Models of Bankruptcy Risk [PDF]

Anale. Seria Stiinte Economice. Timisoara, 2013
This paper makes a brief literature review on symptoms of bankruptcy and prediction models of bankruptcy risk. When it comes to bankruptcy we must start from the symptoms that lead to the financial failure of a company. Financial failure or bankruptcy of a company is an event that may cause losses to banks, suppliers, shareholders and the wider ...
CIOTINA Daniela, CIOTINA Ioan Marius
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A Hybrid GA-BP Model for Bankruptcy Prediction

Eighth International Symposium on Autonomous Decentralized Systems (ISADS'07), 2007
With the increase of economic globalization and evolution of information technology, accounting information are being generated and accumulated at an unprecedented pace. As a result, there has been a critical need for automated approaches to effective and efficient utilization of massive amount of accounting information to support companies' decision ...
Ying Sai, Chenjian Zhong, Le-Hong Qu
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A reference model for business intelligence to predict bankruptcy

Journal of Enterprise Information Management, 2015
Purpose– Bankruptcy is a financial failure of a business or an organization. Different kinds of bankruptcy prediction techniques are proposed to predict it. But, they are restricted as techniques in predicting the bankruptcy and not addressing the associated activities like acquiring the suitable data and delivering the results to the user after ...
Martin Aruldoss, Miranda Lakshmi Travis, V. Prasanna Venkatesan   +2 more
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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
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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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Hybrid neural network models for bankruptcy predictions

Decision Support Systems, 1996
Abstract The objective of this paper is to develop the hybrid neural network models for bankruptcy prediction. The proposed hybrid neural network models are (1) a MDA-assisted neural network, (2) an ID3-assisted neural network, and (3) a SOFM(self organizing feature map)-assisted neural network.
Kun Chang Lee, Ingoo Han, Youngsig Kwon
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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
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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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