Author: Stewart Jones
Publisher: Cambridge University Press
ISBN: 0521869285
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
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: Stewart Jones
Publisher:
ISBN: 9780511429514
Category : Bankruptcy
Languages : en
Pages : 298
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Book Description
A compendium of credit risk modelling approaches, this text includes several new techniques that extend the horizons of future research and practice.
Author: Frédéric Vrins
Publisher: MDPI
ISBN: 3039287605
Category : Business & Economics
Languages : en
Pages : 190
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Book Description
Credit risk remains one of the major risks faced by most financial and credit institutions. It is deeply connected to the real economy due to the systemic nature of some banks, but also because well-managed lending facilities are key for wealth creation and technological innovation. This book is a collection of innovative papers in the field of credit risk management. Besides the probability of default (PD), the major driver of credit risk is the loss given default (LGD). In spite of its central importance, LGD modeling remains largely unexplored in the academic literature. This book proposes three contributions in the field. Ye & Bellotti exploit a large private dataset featuring non-performing loans to design a beta mixture model. Their model can be used to improve recovery rate forecasts and, therefore, to enhance capital requirement mechanisms. François uses instead the price of defaultable instruments to infer the determinants of market-implied recovery rates and finds that macroeconomic and long-term issuer specific factors are the main determinants of market-implied LGDs. Cheng & Cirillo address the problem of modeling the dependency between PD and LGD using an original, urn-based statistical model. Fadina & Schmidt propose an improvement of intensity-based default models by accounting for ambiguity around both the intensity process and the recovery rate. Another topic deserving more attention is trade credit, which consists of the supplier providing credit facilities to his customers. Whereas this is likely to stimulate exchanges in general, it also magnifies credit risk. This is a difficult problem that remains largely unexplored. Kanapickiene & Spicas propose a simple but yet practical model to assess trade credit risk associated with SMEs and microenterprises operating in Lithuania. Another topical area in credit risk is counterparty risk and all other adjustments (such as liquidity and capital adjustments), known as XVA. Chataignier & Crépey propose a genetic algorithm to compress CVA and to obtain affordable incremental figures. Anagnostou & Kandhai introduce a hidden Markov model to simulate exchange rate scenarios for counterparty risk. Eventually, Boursicot et al. analyzes CoCo bonds, and find that they reduce the total cost of debt, which is positive for shareholders. In a nutshell, all the featured papers contribute to shedding light on various aspects of credit risk management that have, so far, largely remained unexplored.
Author: Kaoru Tone
Publisher: John Wiley & Sons
ISBN: 1118946707
Category : Mathematics
Languages : en
Pages : 579
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Book Description
A key resource and framework for assessing the performance of competing entities, including forecasting models Advances in DEA Theory and Applications provides a much-needed framework for assessing the performance of competing entities with special emphasis on forecasting models. It helps readers to determine the most appropriate methodology in order to make the most accurate decisions for implementation. Written by a noted expert in the field, this text provides a review of the latest advances in DEA theory and applications to the field of forecasting. Designed for use by anyone involved in research in the field of forecasting or in another application area where forecasting drives decision making, this text can be applied to a wide range of contexts, including education, health care, banking, armed forces, auditing, market research, retail outlets, organizational effectiveness, transportation, public housing, and manufacturing. This vital resource: Explores the latest developments in DEA frameworks for the performance evaluation of entities such as public or private organizational branches or departments, economic sectors, technologies, and stocks Presents a novel area of application for DEA; namely, the performance evaluation of forecasting models Promotes the use of DEA to assess the performance of forecasting models in a wide area of applications Provides rich, detailed examples and case studies Advances in DEA Theory and Applications includes information on a balanced benchmarking tool that is designed to help organizations examine their assumptions about their productivity and performance.
Author: Błażej Prusak
Publisher: MDPI
ISBN: 303928911X
Category : Business & Economics
Languages : en
Pages : 202
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Book Description
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: Arindam Bandyopadhyay
Publisher: Cambridge University Press
ISBN: 110714647X
Category : Business & Economics
Languages : en
Pages : 390
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Book Description
This book explains how a proper credit risk management framework enables banks to identify, assess and manage the risk proactively.
Author: Stewart Jones
Publisher: Routledge
ISBN: 1317225368
Category : Business & Economics
Languages : en
Pages : 212
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Book Description
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.
Author: Nikita Rangoonwala
Publisher: IndraStra Global e-Journal Hosting Services
ISBN:
Category : Business & Economics
Languages : en
Pages : 77
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Book Description
The Nirma University Journal of Business and Management Studies (NUJBMS) is the flagship journal of the Institute of Management, Nirma University. It provides conceptual, empirical, and case-based research tailored to the needs of management scholars and practitioners researching and working in business schools and in industry. ISSN (Print): 2249-5630
Author: Allam Hamdan
Publisher: Springer Nature
ISBN: 3030627969
Category : Technology & Engineering
Languages : en
Pages : 483
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Book Description
This book focuses on the implementation of AI for growing business, and the book includes research articles and expository papers on the applications of AI on decision-making, health care, smart universities, public sector and digital government, FinTech, and RegTech. Artificial Intelligence (AI) is a vital and a fundamental driver for the Fourth Industrial Revolution (FIR). Its influence is observed at homes, in the businesses and in the public spaces. The embodied best of AI reflects robots which drive our cars, stock our warehouses, monitor our behaviors and warn us of our health, and care for our young children. Some researchers also discussed the role of AI in the current COVID-19 pandemic, whether in the health sector, education, and others. On all of these, the researchers discussed the impact of AI on decision-making in those vital sectors of the economy.
Author: Stewart Jones
Publisher: Routledge
ISBN: 1135107254
Category : Business & Economics
Languages : en
Pages : 791
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Book Description
Financial accounting theory has numerous practical applications and policy implications, for instance, international accounting standard setters are increasingly relying on theoretical accounting concepts in the creation of new standards; and corporate regulators are increasingly turning to various conceptual frameworks of accounting to guide regulation and the interpretation of accounting practices. The global financial crisis has also led to a new found appreciation of the social, economic and political importance of accounting concepts generally and corporate financial reporting in particular. For instance, the fundamentals of capital market theory (i.e. market efficiency) and measurement theory (i.e. fair value) have received widespread public and regulatory attention. This comprehensive, authoritative volume provides a prestige reference work which offers students, academics, regulators and practitioners a valuable resource containing the current scholarship and practice in the established field of financial accounting theory.
