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Forecasting Of Corporate Bankruptcy
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Book Synopsis Forecasting of Corporate Bankruptcy by : Mark Brooks
Download or read book Forecasting of Corporate Bankruptcy written by Mark Brooks and published by Willford Press. This book was released on 2023-09-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corporate bankruptcy forecasting is a vast area of finance and accounting research that seeks to predict bankruptcy and various measures of financial distress in public firms. It is an important indicator, which assists the investors and policy makers in taking proactive measures to minimize the impact of bankruptcies. In modern economies, banks, retail investors, institutional investors and lenders keep searching for information that can forecast financial distress in public firms. Bankruptcy prediction helps in better allocation of resources. It helps in highlighting the issues in businesses to provide business managers with additional time for taking corrective measures to avoid bankruptcy. In recent years, researchers have developed machine learning algorithms, which use financial ratios for the prediction of bankruptcy. This book outlines the key concepts of bankruptcy prediction in detail. A number of latest researches have been included to keep the readers up-to-date with the global concepts in this area of study.
Book Synopsis Corporate Bankruptcy Prediction by : Błażej Prusak
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.
Book Synopsis Corporate Bankruptcy Prediction by : Błażej Prusak
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.
Book Synopsis The Prediction of Corporate Bankruptcy by : Edward I. Altman
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:
Book Synopsis Company Valuation and Bankruptcy Prediction by : Jan Klobucnik
Download or read book Company Valuation and Bankruptcy Prediction written by Jan Klobucnik and published by GRIN Verlag. This book was released on 2013-11-18 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doctoral Thesis / Dissertation from the year 2013 in the subject Economics - Finance, grade: summa cum laude, University of Cologne, language: English, abstract: The contribution of this study is manifold and relevant for academics and practitioners alike. It adds to the literature in the fields of corporate finance, financial accounting and stochastic modeling. In particular, this dissertation provides answers to the following questions: given the less efficient markets, can specialists as financial analysts provide additional information, which contain investment value? How can the true value of a company be determined with publicly available data and can discrepancies between fundamental and market values be exploited? Finally, is it possible to assess the firm’s financial health and its likelihood of failure several years into the future? Adressing these questions, the study first illustrates the company valuation assessment by financial analysts as summarized in their target prices and the information processing by analysts and investors in detail. Second, this thesis offers a novel empirical implementation of a model for fundamental company valuation that employs accounting data. In this context it demonstrates severe over- and undervaluation from a fundamental perspective in the U.S. technology sector over the last 20 years. Both the analysts’ company valuation captured by their target prices and the implementation of the fundamental company valuation model translate into significant investment value before and after transaction costs, which supports the notion of non-efficient markets. Finally, one major contribution is to evaluate a new approach for bankruptcy prediction that is based on stochastic processes. It is theoretically appealing and performs better especially for longer forecast horizons than standard methods.
Book Synopsis Corporate Financial Distress and Bankruptcy by : Edward I. Altman
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.
Book Synopsis Corporate Financial Distress by : Edward I. Altman
Download or read book Corporate Financial Distress written by Edward I. Altman and published by . This book was released on 1983-02-14 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: "A Wiley-Interscience publication."Includes index. Bibliography: p. 355-361.
Book Synopsis Predicting Corporate Collapse by : Alexander Bathory
Download or read book Predicting Corporate Collapse written by Alexander Bathory and published by . This book was released on 1980 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Corporate Bankruptcy in America by : Edward I. Altman
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:
Book Synopsis Bankruptcy Prediction through Soft Computing based Deep Learning Technique by : Arindam Chaudhuri
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.
Book Synopsis Corporate Financial Distress, Restructuring, and Bankruptcy by : Edward I. Altman
Download or read book Corporate Financial Distress, Restructuring, and Bankruptcy written by Edward I. Altman and published by John Wiley & Sons. This book was released on 2019-03-26 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive look at the enormous growth and evolution of distressed debt markets, corporate bankruptcy, and credit risk models This Fourth Edition of the most authoritative finance book on the topic updates and expands its discussion of financial distress and bankruptcy, as well as the related topics dealing with leveraged finance, high-yield, and distressed debt markets. It offers state-of-the-art analysis and research on U.S. and international restructurings, applications of distress prediction models in financial and managerial markets, bankruptcy costs, restructuring outcomes, and more.
Book Synopsis Probabilistic Methods for Financial and Marketing Informatics by : Richard E. Neapolitan
Download or read book Probabilistic Methods for Financial and Marketing Informatics written by Richard E. Neapolitan and published by Elsevier. This book was released on 2010-07-26 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Methods for Financial and Marketing Informatics aims to provide students with insights and a guide explaining how to apply probabilistic reasoning to business problems. Rather than dwelling on rigor, algorithms, and proofs of theorems, the authors concentrate on showing examples and using the software package Netica to represent and solve problems. The book contains unique coverage of probabilistic reasoning topics applied to business problems, including marketing, banking, operations management, and finance. It shares insights about when and why probabilistic methods can and cannot be used effectively. This book is recommended for all R&D professionals and students who are involved with industrial informatics, that is, applying the methodologies of computer science and engineering to business or industry information. This includes computer science and other professionals in the data management and data mining field whose interests are business and marketing information in general, and who want to apply AI and probabilistic methods to their problems in order to better predict how well a product or service will do in a particular market, for instance. Typical fields where this technology is used are in advertising, venture capital decision making, operational risk measurement in any industry, credit scoring, and investment science. Unique coverage of probabilistic reasoning topics applied to business problems, including marketing, banking, operations management, and finance Shares insights about when and why probabilistic methods can and cannot be used effectively Complete review of Bayesian networks and probabilistic methods for those IT professionals new to informatics.
Author :Constantin Zopounidis Publisher :Springer Science & Business Media ISBN 13 :3642574785 Total Pages :312 pages Book Rating :4.6/5 (425 download)
Book Synopsis New Trends in Banking Management by : Constantin Zopounidis
Download or read book New Trends in Banking Management written by Constantin Zopounidis and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last decades the globalization, the intensified competition and the rapid changes in the socio-economic and technological environment had a major impact on the global economic, financial and business environments. Within this environment, it is clear that banking institutions worldwide face new challenges and increasing risks, as well as increasing business potentials. The recent experience shows that achieving a sustainable development of the banking system is not only of interest to the banking institutions themselves, but it is also directly related to the development of the whole business and economic environment, both at regional and international level. The variety of new banking products that is constantly being developed to accommodate the increased customer needs (firms, organizations, individuals, etc.) provides a clear indication of the changes that the banking industry has undergone during the last two decades. The establishment of new products of innovative processes and instruments for their requires the implementation efficient management. The implementation of such processes and instruments is closely related to a variety of disciplines, advanced quantitative analysis for risk management, information technology, quality management, etc. The implementation ofthese approaches in banking management is in accordance with the finding that empirical procedures are no longer adequate to address the increasing complexity of the banking industry.
Author :British Computer Society. Specialist Group on Expert Systems. International Conference Publisher :Springer Science & Business Media ISBN 13 :9781852334024 Total Pages :212 pages Book Rating :4.3/5 (34 download)
Book Synopsis Applications and Innovations in Intelligent Systems VIII by : British Computer Society. Specialist Group on Expert Systems. International Conference
Download or read book Applications and Innovations in Intelligent Systems VIII written by British Computer Society. Specialist Group on Expert Systems. International Conference and published by Springer Science & Business Media. This book was released on 2001-01-10 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers in this volume are the Applications papers presented at ES 2000, the Twentieth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, held in Cambridge in December 2000. The scope of the Application papers has expanded over recent years to cover not just innovative applications using traditional knowledge based systems, but also to include applications demonstrating the whole range of AI technologies. These papers continue to illustrate the maturity of AI as a commercially viable technology to solve real world problems. This is the eighth volume in the Applications and Innovations in Intelligent Systems series. The series serves as a key reference as to how AI technology has enabled organisations to solve complex problems and gain significant business benefits. The Technical Stream papers from ES 200 are published as a companion volume under the title Research and Development in Intelligent Systems XVII.
Book Synopsis Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction by : Stewart Jones
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: The field of credit risk and corporate bankruptcy prediction has gained considerable momentum following the collapse of many large corporations around the world, and more recently through the sub-prime scandal in the United States. This book provides a thorough compendium of the different modelling approaches available in the field, including several new techniques that extend the horizons of future research and practice. Topics covered include probit models (in particular bivariate probit modelling), advanced logistic regression models (in particular mixed logit, nested logit and latent class models), survival analysis models, non-parametric techniques (particularly neural networks and recursive partitioning models), structural models and reduced form (intensity) modelling. Models and techniques are illustrated with empirical examples and are accompanied by a careful explanation of model derivation issues. This practical and empirically-based approach makes the book an ideal resource for all those concerned with credit risk and corporate bankruptcy, including academics, practitioners and regulators.
Book Synopsis Statistical Techniques for Bankruptcy Prediction by : Volodymyr Perederiy
Download or read book Statistical Techniques for Bankruptcy Prediction written by Volodymyr Perederiy and published by GRIN Verlag. This book was released on 2015-05-22 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2005 in the subject Business economics - Accounting and Taxes, grade: 1,0, European University Viadrina Frankfurt (Oder), course: International Business Administration, language: English, abstract: Bankruptcy prediction has become during the past 3 decades a matter of ever rising academic interest and intensive research. This is due to the academic appeal of the problem, combined with its importance in practical applications. The practical importance of bankruptcy prediction models grew recently even more, with “Basle-II” regulations, which were elaborated by Basle Committee on Banking Supervision to enhance the stability of international financial system. These regulations oblige financial institutions and banks to estimate the probability of default of their obligors. There exist some fundamental economic theory to base bankruptcy prediction models on, but this typically relies on stock market prices of companies under consideration. These prices are, however, only available for large public listed companies. Models for private firms are therefore empirical in their nature and have to rely on rigorous statistical analysis of all available information for such firms. In 95% of cases, this information is limited to accounting information from the financial statements. Large databases of financial statements (e.g. Compustat in the USA) are maintained and often available for research purposes. Accounting information is particularly important for bankruptcy prediction models in emerging markets. This is because the capital markets in these countries are often underdeveloped and illiquid and don’t deliver sufficient stock market data, even for public/listed companies, for structural models to be applied. The accounting information is normally summarized in so-called financial ratios. Such ratios (e.g. leverage ratio, calculated as Debt to Total Assets of a company) have a long tradition in accounting analysis. Many of these ratios are believed to reflect the financial health of a company and to be related to the bankruptcy. However, these beliefs are often very vague (e.g. leverages above 70% might provoke a bankruptcy) and subjective. Quantitative bankruptcy prediction models objectify these beliefs in that they apply statistical techniques to the accounting data. [...]
Book Synopsis The bankruptcy prediction model Z-ScoreM for Italian Manufacturing Listed Companies and Z'-ScoreM for Italian Industrial Company by : Olga Maria Stefania Cucaro
Download or read book The bankruptcy prediction model Z-ScoreM for Italian Manufacturing Listed Companies and Z'-ScoreM for Italian Industrial Company written by Olga Maria Stefania Cucaro and published by Olga Maria stefania Cucaro. This book was released on 2019-01-08 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: The bankruptcy prediction model Z-ScoreM for Italian Manufacturing Listed Companies and Z'-ScoreM for Italian Industrial Company. The work stems from the study of the probability of default started in 2007 and continues today. In particular, this analysis is taken up with the study of the Rating and the credit and liquidity risk carried out during the author's research doctorate. The study is the continuation of other recently published author's e-books. The main objective is to identify a model for Italian companies based on Altman's Z-Score variables. Several researchers have analyzed the probability of failure of large companies, listed or emerging markets, other authors have tried to create a dashboard useful for the analysis of key indicators to be monitored, but this research differs for the creation of a specific indicator for the Italian Industrial Companies based on Altman variables.
