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Book Predictability of corporate failure

Download or read book Predictability of corporate failure written by R.A.I. van Frederikslust and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1. 0 INTRODUCTION. In this chapter we define first in Section I. I the concept of failure used in this study. Thereafter, we discuss briefly the causes and possible consequ ences of failure. Finally, we explain in Section 1. 2 the aim of this study. 1. 1 THE CONCEPT OF FAILURE. In this monograph we investigate the predictability of corporate failure. By 'failure' we understand the inability of a firm to pay its obligations when these fall due (i. e. technical cash insolvency). (Walter 1957 and Donaldson 1962 and 1969). Failure mostly appears in a critical situation as a consequ ence of a sharp decline in sales. Such a decline can be caused by a recession, the loss of an important customer, shortage of a raw material, deficiencies of management, etc. The ability to predict corporate failure is important for all parties involved in the corporation, in particular for management and investors. An early warning signal of probable failure will enable them to take preventive measures: changes in operating policy or reorganization of financial structure, but also voluntary liquidation will usually shorten the period over which losses are incurred. The possibility to predict failure is important also from a social point of view, because such an event is an indication of misallocation of resources; prediction provides opportunities to take corrective measures. (See also Lev 1974, p. 134). 1. 2 AIM AND OUTLINE OF THE STUDY.

Book Predictability of Corporate Failure

Download or read book Predictability of Corporate Failure written by R. A. I. Van Frederikslust and published by . This book was released on 1978 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: Samenvatting.

Book Financial Ratios and the Prediction of Corporate Failure

Download or read book Financial Ratios and the Prediction of Corporate Failure written by Ram Avtar Yadav and published by Concept Publishing Company. This book was released on 1986 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Predictability of Corporation Failure

Download or read book Predictability of Corporation Failure written by R A I. Van Frederisklust and published by . This book was released on 1978 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Predictability of corporate failure  modelsfor prediction of corporate failure and for evaluation of debt capacity

Download or read book Predictability of corporate failure modelsfor prediction of corporate failure and for evaluation of debt capacity written by R. A. I. Van Frederikslust and published by . This book was released on 1978 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Corporate Bankruptcy Prediction

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 Advances in Tourism  Technology and Smart Systems

Download or read book Advances in Tourism Technology and Smart Systems written by and published by . This book was released on 2020 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology & Systems (ICOTTS 2019), held at the Universidad Abierta Interamericana, in Buenos Aires, Argentina, from 5th to 7th December 2019. It covers the areas technology in tourism and the tourist experience, generations and technology in tourism, digital marketing applied to tourism and travel, mobile technologies applied to sustainable tourism, information technologies in tourism, digital transformation of tourism business, e-tourism and tourism 2.0, big data and management for travel and tourism, geotagging and tourist mobility, smart destinations, robotics in tourism, and information systems and technologies.

Book Multicriteria Decision Aid Methods for the Prediction of Business Failure

Download or read book Multicriteria Decision Aid Methods for the Prediction of Business Failure written by Constantin Zopounidis and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a new point of view on the subject of business failure prediction, through the application of multicriteria analysis methods. The aim of the book is to provide a review of the research in the area and to explore the adequacy of these methods to one of the most complex problems in the area of financial management. In addition, the book explores the applications of the methods so that it can become a very useful tool for researchers and practitioners. The analysis of the modeling and the results in these applications provides the background for further employment of the methods.

Book Early Warning Indicators of Corporate Failure

Download or read book Early Warning Indicators of Corporate Failure written by Richard Morris and published by Routledge. This book was released on 2018-12-17 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Published in 1997, this text focuses on the conundrum between the academics ability to distinguish between failing and non-failing businesses with models of over 85.5per cent accuracy, and the reasons why credit agencies and the like do not act on such information. The author asks, are the models defective?

Book The Prediction of Corporate Bankruptcy

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 An International Survey of Business Failures with an Emphasis on Prediction Methods and Industrial Applications

Download or read book An International Survey of Business Failures with an Emphasis on Prediction Methods and Industrial Applications written by Augustinos I. Dimitras and published by . This book was released on 1996 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Corporate Failure

Download or read book Corporate Failure written by Om Prakash Kharbanda and published by . This book was released on 1985 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyse a wide range of companies that have been close to failure and evaluate the methods adopted to achieve a turnaround. Show the case studies of Rools Royce, Laker and Dunlop.

Book The Prediction of Corporate Failure

Download or read book The Prediction of Corporate Failure written by D. E. Watkins and published by . This book was released on 1992 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Forecasting Corporate Failure

Download or read book Forecasting Corporate Failure written by Andrew Wong and published by . This book was released on 2017 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of bankruptcy prediction models in litigation to evaluate whether a company was in default, or about to default, at a particular time can be helpful in a wide range of contexts when used appropriately, according to a recent AIRA Journal article authored by Managing Principal Andrew Wong and Manager Konstantin Danilov. In "Forecasting Corporate Failure: Understanding Statistical and Theoretical Approaches to Bankruptcy Prediction" (Vol. 29, No. 1, 2015), the authors describe two categories of bankruptcy prediction models -- statistical and theoretical -- and examine their use in litigation. "Statistical models attempt to identify the most common symptoms exhibited by bankrupt companies, and then use this information to estimate the likelihood that a particular firm will go bankrupt in the future," the authors explain. "Conversely, theoretical models predict bankruptcy by attempting to identify and gauge the factors responsible for the causes of bankruptcy."Noting that understanding "the strengths and weaknesses of these approaches is helpful when deciding which particular prediction model to apply in a bankruptcy setting," the authors describe the history of each model, explore their predictive performance and limitations, and examine several case examples. The authors conclude that, because of "differences in rationale, effectiveness, and applicability, each model is uniquely suited" to determine the likelihood that a company will go bankrupt. "As such, the applicability and validity of any approach will always depend on the context and the details of the particular case."

Book Corporate Financial Distress

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 Machine Learning Applications for Accounting Disclosure and Fraud Detection

Download or read book Machine Learning Applications for Accounting Disclosure and Fraud Detection written by Papadakis, Stylianos and published by IGI Global. This book was released on 2020-10-02 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: The prediction of the valuation of the “quality” of firm accounting disclosure is an emerging economic problem that has not been adequately analyzed in the relevant economic literature. While there are a plethora of machine learning methods and algorithms that have been implemented in recent years in the field of economics that aim at creating predictive models for detecting business failure, only a small amount of literature is provided towards the prediction of the “actual” financial performance of the business activity. Machine Learning Applications for Accounting Disclosure and Fraud Detection is a crucial reference work that uses machine learning techniques in accounting disclosure and identifies methodological aspects revealing the deployment of fraudulent behavior and fraud detection in the corporate environment. The book applies machine learning models to identify “quality” characteristics in corporate accounting disclosure, proposing specific tools for detecting core business fraud characteristics. Covering topics that include data mining; fraud governance, detection, and prevention; and internal auditing, this book is essential for accountants, auditors, managers, fraud detection experts, forensic accountants, financial accountants, IT specialists, corporate finance experts, business analysts, academicians, researchers, and students.

Book Distress Risk and Corporate Failure Modelling

Download or read book Distress Risk and Corporate Failure Modelling written by Stewart Jones and published by Taylor & Francis. This book was released on 2022-09-15 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introduction text to distress risk and corporate failure modelling techniques. It illustrates how to apply a wide range of corporate bankruptcy prediction models and, in turn, highlights their strengths and limitations under different circumstances. It also conceptualises the role and function of different classifiers in terms of a trade-off between model flexibility and interpretability. Jones's illustrations and applications are based on actual company failure data and samples. Its practical and lucid presentation of basic concepts covers various statistical learning approaches, including machine learning, which has come into prominence in recent years. The material covered will help readers better understand a broad range of statistical learning models, ranging from relatively simple techniques, such as linear discriminant analysis, to state-of-the-art machine learning methods, such as gradient boosting machines, adaptive boosting, random forests, and deep learning. The book’s comprehensive review and use of real-life data will make this a valuable, easy-to-read text for researchers, academics, institutions, and professionals who make use of distress risk and corporate failure forecasts.