Corporate Bankruptcy Prediction

Author : Błażej Prusak
Publisher : MDPI
ISBN 13 : 303928911X
Total Pages : 202 pages
Book Rating : 4.10/5 ( download)

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Download or read book Corporate Bankruptcy Prediction written by Błażej Prusak and published by MDPI. This book was released on 2020-06-16 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bankruptcy prediction is one of the most important research areas in corporate finance. Bankruptcies are an indispensable element of the functioning of the market economy, and at the same time generate significant losses for stakeholders. Hence, this book was established to collect the results of research on the latest trends in predicting the bankruptcy of enterprises. It suggests models developed for different countries using both traditional and more advanced methods. Problems connected with predicting bankruptcy during periods of prosperity and recession, the selection of appropriate explanatory variables, as well as the dynamization of models are presented. The reliability of financial data and the validity of the audit are also referenced. Thus, I hope that this book will inspire you to undertake new research in the field of forecasting the risk of bankruptcy.

Author : Edward I. Altman
Publisher : John Wiley & Sons
ISBN 13 : 1118046048
Total Pages : 314 pages
Book Rating : 4.43/5 ( download)

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Download or read book Corporate Financial Distress and Bankruptcy written by Edward I. Altman and published by John Wiley & Sons. This book was released on 2010-03-11 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive look at the enormous growth and evolution of distressed debt, corporate bankruptcy, and credit risk default This Third Edition of the most authoritative finance book on the topic updates and expands its discussion of corporate distress and bankruptcy, as well as the related markets dealing with high-yield and distressed debt, and offers state-of-the-art analysis and research on the costs of bankruptcy, credit default prediction, the post-emergence period performance of bankrupt firms, and more.

Author : Błażej Prusak
Publisher :
ISBN 13 : 9783039289127
Total Pages : 202 pages
Book Rating : 4.28/5 ( download)

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Download or read book Corporate Bankruptcy Prediction written by Błażej Prusak and published by . This book was released on 2020 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bankruptcy prediction is one of the most important research areas in corporate finance. Bankruptcies are an indispensable element of the functioning of the market economy, and at the same time generate significant losses for stakeholders. Hence, this book was established to collect the results of research on the latest trends in predicting the bankruptcy of enterprises. It suggests models developed for different countries using both traditional and more advanced methods. Problems connected with predicting bankruptcy during periods of prosperity and recession, the selection of appropriate explanatory variables, as well as the dynamization of models are presented. The reliability of financial data and the validity of the audit are also referenced. Thus, I hope that this book will inspire you to undertake new research in the field of forecasting the risk of bankruptcy.

Author : Edward I. Altman
Publisher :
ISBN 13 :
Total Pages : 230 pages
Book Rating : 4.56/5 ( download)

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Download or read book Corporate Bankruptcy in America written by Edward I. Altman and published by . This book was released on 1971 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Arindam Chaudhuri
Publisher : Springer
ISBN 13 : 9811066833
Total Pages : 102 pages
Book Rating : 4.32/5 ( download)

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Download or read book Bankruptcy Prediction through Soft Computing based Deep Learning Technique written by Arindam Chaudhuri and published by Springer. This book was released on 2017-12-01 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes complex hierarchical deep architectures (HDA) for predicting bankruptcy, a topical issue for business and corporate institutions that in the past has been tackled using statistical, market-based and machine-intelligence prediction models. The HDA are formed through fuzzy rough tensor deep staking networks (FRTDSN) with structured, hierarchical rough Bayesian (HRB) models. FRTDSN is formalized through TDSN and fuzzy rough sets, and HRB is formed by incorporating probabilistic rough sets in structured hierarchical Bayesian model. Then FRTDSN is integrated with HRB to form the compound FRTDSN-HRB model. HRB enhances the prediction accuracy of FRTDSN-HRB model. The experimental datasets are adopted from Korean construction companies and American and European non-financial companies, and the research presented focuses on the impact of choice of cut-off points, sampling procedures and business cycle on the accuracy of bankruptcy prediction models. The book also highlights the fact that misclassification can result in erroneous predictions leading to prohibitive costs to investors and the economy, and shows that choice of cut-off point and sampling procedures affect rankings of various models. It also suggests that empirical cut-off points estimated from training samples result in the lowest misclassification costs for all the models. The book confirms that FRTDSN-HRB achieves superior performance compared to other statistical and soft-computing models. The experimental results are given in terms of several important statistical parameters revolving different business cycles and sub-cycles for the datasets considered and are of immense benefit to researchers working in this area.

Author : Edward I. Altman
Publisher : Facsimiles-Garl
ISBN 13 :
Total Pages : 192 pages
Book Rating : 4.87/5 ( download)

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Download or read book The Prediction of Corporate Bankruptcy written by Edward I. Altman and published by Facsimiles-Garl. This book was released on 1988 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Stewart Jones
Publisher : Cambridge University Press
ISBN 13 : 0521869285
Total Pages : 0 pages
Book Rating : 4.87/5 ( download)

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Download or read book Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction written by Stewart Jones and published by Cambridge University Press. This book was released on 2008-09-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A thorough compendium of credit risk modelling approaches, including several new techniques that extend the horizons of future research and practice. Models and techniques are illustrated with empirical examples and are accompanied by a careful explanation of model derivation issues. An ideal resource for academics, practitioners and regulators.

Author : Jürgen Huber
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.64/5 ( download)

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Download or read book The Prediction of Corporate Bankruptcy written by Jürgen Huber and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The thesis discusses past and current developments around bankruptcy prediction models.

Author : Saiful Islam, MD
Publisher :
ISBN 13 : 9781636480039
Total Pages : 76 pages
Book Rating : 4.39/5 ( download)

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Download or read book Predictive Capability of Financial Ratios for Forecasting of Corporate Bankruptcy written by Saiful Islam, MD and published by . This book was released on 2020-09-07 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bankruptcy of a business firm is an event which results substantial losses to creditors and stockholders. A model which is capable of predicting an upcoming business failure will serve as a very useful tool to reduce such losses by providing warning to the interested parties. This was the main motivation for Beaver (1966) and Altman (1968) to construct bankruptcy prediction models based on the financial data (Deakin 1972). This research study also initiated with a great interest on this subject to investigate the predictive capability of financial ratios for forecasting of corporate distress and bankruptcy events. This study is expounded on similar previous studies by Altman (1968), Ohlson (1980), Beaver (1966) by examining the effectiveness of financial ratios for predicting of corporate distress. The logistics regression analysis (LRA) statistical method is used to scan the risk factors from the previous financial year data and prediction models are constructed which can reasonably classify the expected bankruptcy group and can reasonably predict the solvency status of a firm. The research has been focused on the USA companies only. A set of bankrupted and non-bankrupted company financial data are used for constructing the bankruptcy prediction model and then a second set of bankrupted and non-bankrupted company financial data has been used to test the classification accuracy of the constructed models. The result of this study is consistent with the previous bankruptcy prediction researches outcomes. This study also investigates the time factor implication of bankruptcy prediction models using 5 years financial ratios.

Author : Stewart Jones
Publisher :
ISBN 13 : 9780511429514
Total Pages : 298 pages
Book Rating : 4.17/5 ( download)

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Download or read book Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction written by Stewart Jones and published by . This book was released on 2008 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: A compendium of credit risk modelling approaches, this text includes several new techniques that extend the horizons of future research and practice.