Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Corporate Bankruptcy Prediction
Download Corporate Bankruptcy Prediction full books in PDF, epub, and Kindle. Read online Corporate Bankruptcy Prediction ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
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 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 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: 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.
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 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 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 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 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.
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 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 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 . 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.
Book Synopsis A Comparison of Statistical Techniques and Artificial Neural Network Models in Corporate Bankruptcy Prediction by : Margaret Devine Dwyer
Download or read book A Comparison of Statistical Techniques and Artificial Neural Network Models in Corporate Bankruptcy Prediction written by Margaret Devine Dwyer and published by . This book was released on 1992 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
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 Digitalization in Finance and Accounting by : David Procházka
Download or read book Digitalization in Finance and Accounting written by David Procházka and published by Springer Nature. This book was released on 2021-02-05 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores current digitalization issues in finance and accounting with particular focus on emerging and transitioning markets. It features models, empirical studies and cases studies on topics such as Fintech, blockchain technology, financing renewable energy, and XBRL usage from sectors such health care, pharmacology, transportation, and education. Such a complex view of current economic phenomena makes the volume attractive not only for academia, but also for regulators and policy-makers, when deliberating the potential outcome of competing regulatory mechanisms.
Book Synopsis Decision Forests for Computer Vision and Medical Image Analysis by : Antonio Criminisi
Download or read book Decision Forests for Computer Vision and Medical Image Analysis written by Antonio Criminisi and published by Springer Science & Business Media. This book was released on 2013-01-30 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical and easy-to-follow text explores the theoretical underpinnings of decision forests, organizing the vast existing literature on the field within a new, general-purpose forest model. Topics and features: with a foreword by Prof. Y. Amit and Prof. D. Geman, recounting their participation in the development of decision forests; introduces a flexible decision forest model, capable of addressing a large and diverse set of image and video analysis tasks; investigates both the theoretical foundations and the practical implementation of decision forests; discusses the use of decision forests for such tasks as classification, regression, density estimation, manifold learning, active learning and semi-supervised classification; includes exercises and experiments throughout the text, with solutions, slides, demo videos and other supplementary material provided at an associated website; provides a free, user-friendly software library, enabling the reader to experiment with forests in a hands-on manner.