Understanding And Predicting Systemic Corporate Distress A Machine Learning Approach
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Understanding And Predicting Systemic Corporate Distress A Machine Learning Approach
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Author : Ms. Burcu Hacibedel
language : en
Publisher: International Monetary Fund
Release Date : 2022-07-29
Understanding And Predicting Systemic Corporate Distress A Machine Learning Approach written by Ms. Burcu Hacibedel and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-29 with Business & Economics categories.
In this paper, we study systemic non-financial corporate sector distress using firm-level probabilities of default (PD), covering 55 economies, and spanning the last three decades. Systemic corporate distress is identified by elevated PDs across a large portion of the firms in an economy. A machine-learning based early warning system is constructed to predict the onset of distress in one year’s time. Our results show that credit expansion, monetary policy tightening, overvalued stock prices, and debt-linked balance-sheet weaknesses predict corporate distress. We also find that systemic corporate distress events are associated with contractions in GDP and credit growth in advanced and emerging markets at different degrees and milder than financial crises.
Predicting Imf Supported Programs A Machine Learning Approach
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Author : Tsendsuren Batsuuri
language : en
Publisher: International Monetary Fund
Release Date : 2024-03-08
Predicting Imf Supported Programs A Machine Learning Approach written by Tsendsuren Batsuuri and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-08 with Business & Economics categories.
This study applies state-of-the-art machine learning (ML) techniques to forecast IMF-supported programs, analyzes the ML prediction results relative to traditional econometric approaches, explores non-linear relationships among predictors indicative of IMF-supported programs, and evaluates model robustness with regard to different feature sets and time periods. ML models consistently outperform traditional methods in out-of-sample prediction of new IMF-supported arrangements with key predictors that align well with the literature and show consensus across different algorithms. The analysis underscores the importance of incorporating a variety of external, fiscal, real, and financial features as well as institutional factors like membership in regional financing arrangements. The findings also highlight the varying influence of data processing choices such as feature selection, sampling techniques, and missing data imputation on the performance of different ML models and therefore indicate the usefulness of a flexible, algorithm-tailored approach. Additionally, the results reveal that models that are most effective in near and medium-term predictions may tend to underperform over the long term, thus illustrating the need for regular updates or more stable – albeit potentially near-term suboptimal – models when frequent updates are impractical.
Applications And Innovations In Intelligent Systems Viii
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Author : British Computer Society. Specialist Group on Expert Systems. International Conference
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-01-10
Applications And Innovations In Intelligent Systems Viii written by British Computer Society. Specialist Group on Expert Systems. International Conference and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-01-10 with Computers categories.
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.
Corporate Bankruptcy Prediction
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Author : Błażej Prusak
language : en
Publisher: MDPI
Release Date : 2020-06-16
Corporate Bankruptcy Prediction written by Błażej Prusak and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-16 with Business & Economics categories.
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.
Prediction Learning And Games
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Author : Nicolo Cesa-Bianchi
language : en
Publisher: Cambridge University Press
Release Date : 2006-03-13
Prediction Learning And Games written by Nicolo Cesa-Bianchi and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-13 with Computers categories.
This important text and reference for researchers and students in machine learning, game theory, statistics and information theory offers a comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction of individual sequences does not impose any probabilistic assumption on the data-generating mechanism. Yet, prediction algorithms can be constructed that work well for all possible sequences, in the sense that their performance is always nearly as good as the best forecasting strategy in a given reference class. The central theme is the model of prediction using expert advice, a general framework within which many related problems can be cast and discussed. Repeated game playing, adaptive data compression, sequential investment in the stock market, sequential pattern analysis, and several other problems are viewed as instances of the experts' framework and analyzed from a common nonstochastic standpoint that often reveals new and intriguing connections.
Ensemble Methods
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Author : Zhi-Hua Zhou
language : en
Publisher: CRC Press
Release Date : 2012-06-06
Ensemble Methods written by Zhi-Hua Zhou and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-06 with Business & Economics categories.
An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field. After presenting background and terminology, the book covers the main algorithms and theories, including Boosting, Bagging, Random Forest, averaging and voting schemes, the Stacking method, mixture of experts, and diversity measures. It also discusses multiclass extension, noise tolerance, error-ambiguity and bias-variance decompositions, and recent progress in information theoretic diversity. Moving on to more advanced topics, the author explains how to achieve better performance through ensemble pruning and how to generate better clustering results by combining multiple clusterings. In addition, he describes developments of ensemble methods in semi-supervised learning, active learning, cost-sensitive learning, class-imbalance learning, and comprehensibility enhancement.
Corporate Financial Distress And Bankruptcy
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Author : Edward I. Altman
language : en
Publisher: John Wiley & Sons
Release Date : 2010-03-11
Corporate Financial Distress And Bankruptcy written by Edward I. Altman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-11 with Business & Economics categories.
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.
Ai And Big Data S Potential For Disruptive Innovation
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Author : Strydom, Moses
language : en
Publisher: IGI Global
Release Date : 2019-09-27
Ai And Big Data S Potential For Disruptive Innovation written by Strydom, Moses and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-27 with Computers categories.
Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.
Handbook Of Molecular Biotechnology
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Author : Dongyou Liu
language : en
Publisher: CRC Press
Release Date : 2024-09-05
Handbook Of Molecular Biotechnology written by Dongyou Liu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-05 with Science categories.
With a history that likely dates back to the dawn of human civilization more than 10,000 years ago, and a record that includes the domestication and selective breeding of plants and animals, the harnessing of fermentation process for bread, cheese, and brewage production, and the development of vaccines against infectious diseases, biotechnology has acquired a molecular focus during the 20th century, particularly following the resolution of DNA double helix in 1953, and the publication of DNA cloning protocol in 1973, and transformed our concepts and practices in disease diagnosis, treatment and prevention, pharmaceutical and industrial manufacturing, animal and plant industry, and food processing. While molecular biotechnology offers unlimited opportunities for improving human health and well-being, animal welfare, agricultural innovation and environmental conservation, a dearth of high quality books that have the clarity of laboratory manuals without distractive procedural details and the thoroughness of well-conversed textbooks appears to dampen the enthusiasm of aspiring students. In attempt to fill this glaring gap, Handbook of Molecular Biotechnology includes four sections, with the first three presenting in-depth coverage on DNA, RNA and protein technologies, and the fourth highlighting their utility in biotechnology. Recognizing the importance of logical reasoning and experimental verification over direct observation and simple description in biotechnological research and development, the Introduction provides pertinent discussions on key strategies (i.e., be first, be better, and be different), effective thinking (lateral, parallel, causal, reverse, and random), and experimental execution, which have proven invaluable in helping advance research projects, evaluate and prepare research reports, and enhance other scientific endeavors. Key features Presents state-of-the-art reviews on DNA, RNA and protein technologies and their biotechnological applications Discusses key strategies, effective thinking, and experimental execution for scientific research and development Fills the gap left by detailed-ridden laboratory manuals and insight-lacking standard textbooks Includes expert contributions from international scientists at the forefront of molecular biotechnology research and development Written by international scientists at the forefront of molecular biotechnology research and development, chapters in this volume cover the histories, principles, and applications of individual techniques/technologies, and constitute stand-alone, yet interlinked lectures that strive to educate as well as to entertain. Besides providing an informative textbook for tertiary students in molecular biotechnology and related fields, this volume serves as an indispensable roadmap for novice scientists in their efforts to acquire innovative skills and establish solid track records in molecular biotechnology, and offers a contemporary reference for scholars, educators, and policymakers wishing to keep in touch with recent developments in molecular biotechnology.
Molecular Mechanisms And Therapeutic Strategies In Inflammation
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Author : Pengpeng Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2025-07-29
Molecular Mechanisms And Therapeutic Strategies In Inflammation written by Pengpeng Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-29 with Medical categories.
Inflammation is a fundamental response of the body to injury and infection, involving complex cellular and molecular mechanisms. While acute inflammation plays a crucial role in defending against pathogens and repairing tissues, chronic inflammation is closely associated with the occurrence and development of various diseases, including cancer, cardiovascular diseases, neurodegenerative diseases, and autoimmune disorders. The recent advancements in single-cell sequencing technologies have offered an unprecedented perspective on the cellular and molecular heterogeneity of inflammatory responses. Through high-resolution single-cell RNA sequencing, it is possible to uncover the specific gene expression profiles of different types of immune cells during inflammation, thereby providing an in-depth understanding of their functions. Single-cell sequencing also enables the monitoring of dynamic changes in cellular gene expression at different time points, tracking the key molecular expression patterns during the inflammatory process. Additionally, in combination with spatial transcriptomics techniques, single-cell sequencing can analyze the spatial distribution of cells in tissues and their gene expression, mapping out detailed cellular maps of inflammatory sites and identifying the cellular characteristics and interaction networks in different regions. The latest technological developments also include the integrated analysis of multi-omics data such as single-cell ATAC-seq, DNA sequencing, and proteomics, providing more comprehensive cellular functional information and revealing the complex mechanisms of gene expression regulation. Simultaneously, the application of novel computational tools and algorithms enables researchers to extract meaningful biological information from complex data and uncover the key pathways and molecular mechanisms in inflammatory responses. Therefore, this Research Topic aims to showcase the latest progress of single-cell sequencing technologies in inflammation research. We invite researchers interested in this topic to submit original research, brief research reports, and review articles, mainly but not limited to the following sub-themes: 1. New applications of single-cell RNA sequencing in the study of inflammatory processes. 2. Single-cell epigenomics and transcriptomics in inflammatory diseases. 3. Identification of key inflammatory mediators, signaling pathways, and immune cell heterogeneity at the single-cell level. 4. Interactions between immune and non-immune cells in the inflammatory microenvironment. 5. Identification of novel therapeutic targets and the development of personalized medical approaches for inflammatory diseases based on single-cell analysis. 6. Single-cell analysis of drug responses and resistance mechanisms in inflammation. 7. Innovations in single-cell sequencing technologies related to inflammation research. Please note that manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by robust and relevant validation (clinical cohort or biological validation in vitro or in vivo) are out of scope for this Research Topic.