Predictability Of Corporate Failure
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| Author | : Constantin Zopounidis |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 309 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 3642574785 |
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 | : R.A.I. van Frederikslust |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 126 |
| Release | : 2012-12-06 |
| Genre | : Social Science |
| ISBN | : 1468471910 |
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.
| Author | : Błażej Prusak |
| Publisher | : MDPI |
| Total Pages | : 202 |
| Release | : 2020-06-16 |
| Genre | : Business & Economics |
| ISBN | : 303928911X |
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 | : John Argenti |
| Publisher | : |
| Total Pages | : 16 |
| Release | : 1984 |
| Genre | : Business failures |
| ISBN | : 9780852915790 |
| Author | : |
| Publisher | : |
| Total Pages | : 714 |
| Release | : 2020 |
| Genre | : Electronic books |
| ISBN | : 9789811520259 |
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.
| Author | : Papadakis, Stylianos |
| Publisher | : IGI Global |
| Total Pages | : 270 |
| Release | : 2020-10-02 |
| Genre | : Business & Economics |
| ISBN | : 179984806X |
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.
| Author | : Edward I. Altman |
| Publisher | : John Wiley & Sons |
| Total Pages | : 314 |
| Release | : 2010-03-11 |
| Genre | : Business & Economics |
| ISBN | : 1118046048 |
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 | : Ram Avtar Yadav |
| Publisher | : Concept Publishing Company |
| Total Pages | : 222 |
| Release | : 1986 |
| Genre | : Corporations |
| ISBN | : |
| Author | : Constantin Zopounidis |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 191 |
| Release | : 2013-03-09 |
| Genre | : Business & Economics |
| ISBN | : 1475728859 |
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.
| Author | : Tom Eisenmann |
| Publisher | : Currency |
| Total Pages | : 368 |
| Release | : 2021-03-30 |
| Genre | : Business & Economics |
| ISBN | : 0593137035 |
If you want your startup to succeed, you need to understand why startups fail. “Whether you’re a first-time founder or looking to bring innovation into a corporate environment, Why Startups Fail is essential reading.”—Eric Ries, founder and CEO, LTSE, and New York Times bestselling author of The Lean Startup and The Startup Way Why do startups fail? That question caught Harvard Business School professor Tom Eisenmann by surprise when he realized he couldn’t answer it. So he launched a multiyear research project to find out. In Why Startups Fail, Eisenmann reveals his findings: six distinct patterns that account for the vast majority of startup failures. • Bad Bedfellows. Startup success is thought to rest largely on the founder’s talents and instincts. But the wrong team, investors, or partners can sink a venture just as quickly. • False Starts. In following the oft-cited advice to “fail fast” and to “launch before you’re ready,” founders risk wasting time and capital on the wrong solutions. • False Promises. Success with early adopters can be misleading and give founders unwarranted confidence to expand. • Speed Traps. Despite the pressure to “get big fast,” hypergrowth can spell disaster for even the most promising ventures. • Help Wanted. Rapidly scaling startups need lots of capital and talent, but they can make mistakes that leave them suddenly in short supply of both. • Cascading Miracles. Silicon Valley exhorts entrepreneurs to dream big. But the bigger the vision, the more things that can go wrong. Drawing on fascinating stories of ventures that failed to fulfill their early promise—from a home-furnishings retailer to a concierge dog-walking service, from a dating app to the inventor of a sophisticated social robot, from a fashion brand to a startup deploying a vast network of charging stations for electric vehicles—Eisenmann offers frameworks for detecting when a venture is vulnerable to these patterns, along with a wealth of strategies and tactics for avoiding them. A must-read for founders at any stage of their entrepreneurial journey, Why Startups Fail is not merely a guide to preventing failure but also a roadmap charting the path to startup success.
