Results 261 to 270 of about 1,697,709 (296)

Rating and Bankruptcy Prediction

2015
The European industrial framework is characterized by the prevalence of small- and medium-sized enterprises (SMEs). As described by Modina and Pietrovito (2014), SMEs account for over 95 percent and up to 99 percent of the business populations whose contribution changes depending on the nation to which it belongs.
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A neural network model for bankruptcy prediction

1990 IJCNN International Joint Conference on Neural Networks, 1990
A neural network model is developed for prediction of bankruptcy, and it is tested using financial data from various companies. The same set of data is analyzed using a more traditional method of bankruptcy prediction, multivariate discriminant analysis.
M. D. Odom, Ramesh Sharda
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Knowledge Discovery in the Prediction of Bankruptcy.

2009
Knowledge discovery in databases (KDD) is the process of discovering interesting knowledge from large amounts of data. However, real-world datasets have problems such as incompleteness, redundancy, inconsistency, noise, etc. All these problems affect the performance of data mining algorithms.
Almeida, R.J., Vieira, S.M., Milea, D.V., Kaymak, U., Costa Sousa, da, J.M.   +4 more
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Essays on bankruptcy prediction

2019
The dissertation examines topics in bankruptcy prediction using public firms from U.S. and consists of three chapters. Chapter 1 is dedicated to investigating an alternative approach for bankruptcy prediction that measures the financial healthiness of firms with coupon-paying debts.
Taoushianis, Zenon A., Taoushianis, Zenon A.   +1 more
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Bankruptcy prediction

International Review of Financial Analysis, 2000
Erkki K. Laitinen, Teija Laitinen
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Knowledge Discovery Methods for Bankruptcy Prediction

2013
Business bankruptcy is a negative phenomenon, whose symptoms can be identified in advance by means of financial data analyses. The aim of this paper is to present two experimental studies using two different approaches to analyze company’s financial situation based on selected financial indicators.
Frantisek Babic, Cecília Havrilová, Ján Paralic   +2 more
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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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Bankruptcy Prediction in REITs

International Real Estate Review
Bankruptcy in many industries is a well-documented norm; however, in the real estate investment trust (REIT) industry, the related literature is very thin. This study uses the vector autoregressive (VAR), logistic, and multilinear models to detect bankruptcy in the REIT industry.
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Company Bankruptcy Prediction with Neural Networks

2018
Bankruptcy prediction is a very important issue in business financing. Raising availability of financial data makes it more and more viable. We use large data concerning the health of Polish companies to predict their possible bankruptcy in a relatively short period. To this end, we utilize feedforward neural networks.
Jolanta Pozorska, Magdalena Scherer
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Application of Fuzzy Classification in Bankruptcy Prediction

2008
Classification refers to a set of methods that predict the class of an object from attributes or features describing the object. In this paper we present a fuzzy classification algorithm to predict bankruptcy. Our classification algorithm is modified from a subspace clustering algorithm called fuzzy subspace clustering (FSC).
Zijiang Yang 0001, Guojun Gan
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