Download or read book Frontiers in Credit risk Analysis written by and published by . This book was released on 1999 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Frontiers in Credit Risk written by Gordian Gaeta and published by Wiley. This book was released on 2003-03-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Credit risk evaluation is as old as commerce itself. Processes have been refined over centuries based on cumulative experience, judgment and learning. The rapid development of financial markets however has tested the limits of the traditional approach as highly publicized credit losses and huge non-performing loans across the globe well document. Distress among many credit professionals and regulators prevails. This book describes a different and unemotional approach to credit risk evaluation. Based on abstract and objective credit models, the concept of credit risk measurement is introduced through a range of theoretical and practical perspectives. From making a case for credit risk measurement as a complement to the more traditional approaches to credit risk management, the book covers validation, applications and new areas of credit risk management. Contributions by leading academics, practitioners and consultants provide for scholars and credit risk professionals but also less mathematically inclined readers or interested parties, a wide spectrum of ideas and concepts for developing and improving their own viewpoint, processes and approaches. A demo-CD of one particular model is included for practical testing and playing with applied credit risk measurement concepts.
Download or read book FinTech in Financial Inclusion Machine Learning Applications in Assessing Credit Risk written by Majid Bazarbash and published by International Monetary Fund. This book was released on 2019-05-17 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credit have remained largely a black box for the nontechnical audience. This paper contributes to the literature by discussing potential strengths and weaknesses of ML-based credit assessment through (1) presenting core ideas and the most common techniques in ML for the nontechnical audience; and (2) discussing the fundamental challenges in credit risk analysis. FinTech credit has the potential to enhance financial inclusion and outperform traditional credit scoring by (1) leveraging nontraditional data sources to improve the assessment of the borrower’s track record; (2) appraising collateral value; (3) forecasting income prospects; and (4) predicting changes in general conditions. However, because of the central role of data in ML-based analysis, data relevance should be ensured, especially in situations when a deep structural change occurs, when borrowers could counterfeit certain indicators, and when agency problems arising from information asymmetry could not be resolved. To avoid digital financial exclusion and redlining, variables that trigger discrimination should not be used to assess credit rating.
Download or read book Credit Risk Measurement written by Anthony Saunders and published by John Wiley & Sons. This book was released on 2002-10-06 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most cutting-edge read on the pricing, modeling, and management of credit risk available The rise of credit risk measurement and the credit derivatives market started in the early 1990s and has grown ever since. For many professionals, understanding credit risk measurement as a discipline is now more important than ever. Credit Risk Measurement, Second Edition has been fully revised to reflect the latest thinking on credit risk measurement and to provide credit risk professionals with a solid understanding of the alternative approaches to credit risk measurement. This readable guide discusses the latest pricing, modeling, and management techniques available for dealing with credit risk. New chapters highlight the latest generation of credit risk measurement models, including a popular class known as intensity-based models. Credit Risk Measurement, Second Edition also analyzes significant changes in banking regulations that are impacting credit risk measurement at financial institutions. With fresh insights and updated information on the world of credit risk measurement, this book is a must-read reference for all credit risk professionals. Anthony Saunders (New York, NY) is the John M. Schiff Professor of Finance and Chair of the Department of Finance at the Stern School of Business at New York University. He holds positions on the Board of Academic Consultants of the Federal Reserve Board of Governors as well as the Council of Research Advisors for the Federal National Mortgage Association. He is the editor of the Journal of Banking and Finance and the Journal of Financial Markets, Instruments and Institutions. Linda Allen (New York, NY) is Professor of Finance at Baruch College and Adjunct Professor of Finance at the Stern School of Business at New York University. She also is author of Capital Markets and Institutions: A Global View (Wiley: 0471130494). Over the years, financial professionals around the world have looked to the Wiley Finance series and its wide array of bestselling books for the knowledge, insights, and techniques that are essential to success in financial markets. As the pace of change in financial markets and instruments quickens, Wiley Finance continues to respond. With critically acclaimed books by leading thinkers on value investing, risk management, asset allocation, and many other critical subjects, the Wiley Finance series provides the financial community with information they want. Written to provide professionals and individuals with the most current thinking from the best minds in the industry, it is no wonder that the Wiley Finance series is the first and last stop for financial professionals looking to increase their financial expertise.
Download or read book Credit Risk Management In and Out of the Financial Crisis written by Anthony Saunders and published by John Wiley & Sons. This book was released on 2010-04-16 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: A classic book on credit risk management is updated to reflect the current economic crisis Credit Risk Management In and Out of the Financial Crisis dissects the 2007-2008 credit crisis and provides solutions for professionals looking to better manage risk through modeling and new technology. This book is a complete update to Credit Risk Measurement: New Approaches to Value at Risk and Other Paradigms, reflecting events stemming from the recent credit crisis. Authors Anthony Saunders and Linda Allen address everything from the implications of new regulations to how the new rules will change everyday activity in the finance industry. They also provide techniques for modeling-credit scoring, structural, and reduced form models-while offering sound advice for stress testing credit risk models and when to accept or reject loans. Breaks down the latest credit risk measurement and modeling techniques and simplifies many of the technical and analytical details surrounding them Concentrates on the underlying economics to objectively evaluate new models Includes new chapters on how to prevent another crisis from occurring Understanding credit risk measurement is now more important than ever. Credit Risk Management In and Out of the Financial Crisis will solidify your knowledge of this dynamic discipline.
Download or read book Advances in Credit Risk Modeling and Management written by Frédéric Vrins and published by MDPI. This book was released on 2020-07-01 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Advanced Credit Risk Analysis written by Didier Cossin and published by John Wiley & Sons. This book was released on 2001 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Credit Analysis presents the latest and most advanced modelling techniques in the theory and practice of credit risk pricing and management. The book stresses the logic of theoretical models from the structural and the reduced-form kind, their applications and extensions. It shows the mathematical models that help determine optimal collateralisation and marking-to-market policies. It looks at modern credit risk management tools and the current structuring techniques available with credit derivatives.
Download or read book NAVIGATING THE AI FRONTIER UNDERSTANDING THE BENEFITS AND CHALLENGES OF ARTIFICIAL INTELLIGENCE ACROSS INDUSTRIES written by Dr. Arun B Prasad and published by Xoffencerpublication. This book was released on 2023-08-21 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: The consistent development of information technology (IT) paves the way for companies to make the shift to digital work as their principal mode of operation. This is made feasible by the rapid progress of IT. As a consequence of this, employers are putting pressure on employees to adapt to new forms of employment, which may include less interaction with other people but more interaction with information technology. However, as a consequence of these new ways of doing things, workers won't be able to carry out their responsibilities with the same principles and beliefs that they have been used to bringing to the table in the past. The continual upheaval that takes place in the workplace has the potential to influence the self-beliefs that constitute a person's professional identity at work, also known as the perception of one's function in the workplace. This is because self beliefs are sensitive to being influenced by the perception of one's function in the workplace. The act of having one's identity questioned by an experience that is in direct opposition to who they are may result in a decline in one's sense of self-worth as well as a potential threat to the integrity of one's identity. As a consequence of this, it is possible that activities that are targeted at maintaining self-esteem connected with identity will be necessary in light of the fact that the landscape and experiences of a number of professions have been transformed as a result of the development of technology. The digitization of workplaces is directly responsible for the growing popularity of digital labour as the normal operating procedure in organisations. One of the primary factors that is driving this discussion is the continuing development of artificial intelligence (AI), which can be defined as "the ability of a machine to perform cognitive functions that we associate with human minds, such as perceiving, reasoning, learning, interacting with the environment, problem-solving, decision-making, and even demonstrating creativity." Artificial intelligence is put to use in many different capacities within the field of digital labour, including (managerial) decision making, data analysis and prediction work, or (human-AI) interaction. 1 | P a ge Because of this, artificial intelligence will continually bring about changes to working environments and professions, perhaps putting the lives of people whose jobs are replaced by computers in jeopardy. On the other hand, this might lead to a reduction in value if the people who utilise AI systems have major variances in their perspectives. In addition, the use of AI has the potential to contribute to the growth of ambiguity and the invasion of individuals' right to personal privacy. The phrase "dark side of AI" is often used to refer to this undesirable phenomenon, which outlines the ways in which AI offers risks for individuals, businesses, and society as a whole. However, the adoption of AI in enterprises may not only eliminate or modify current jobs but also create new sectors of labour, such as in the disciplines of engineering, programming, or even social domains. This is because AI may be able to perform some or all of the tasks associated with these vocations. This is due to the fact that AI is capable of learning new things and adjusting to its surroundings. There is an ongoing sense of optimism over artificial intelligence and the economic effects that it will have (Selz, 2020). The public discourse about artificial intelligence has been more optimistic over the last several years; despite this, the concern that AI would displace current jobs continues to outweigh the potential for human and AI collaboration in the future. The interaction between humans and artificial intelligence demonstrates that people's views of AI are based on a wide variety of features to varying degrees. For example, salient signals, affordances, or collaborative interaction may have an effect on a person's emotions and, as a consequence, their intents about artificial intelligence (Shin, 2021). The manner in which an employee applies technology in the course of their work contributes to the formation of that employee's sense of self identity. In order to investigate this matter in a way that is adequate, we are going to adopt the perspective of Carter and who define the word "IT identity" as "the extent to which a person views use of an IT as integral to his or her sense of self." This will allow us to investigate this matter in a manner that is adequate. It is possible that the implementation of AI in the workplace will run opposite to the employees' identification with their activities, which may cause them to engage in resistive behaviours such as an aversion to algorithms on their part. The phenomenon known as "algorithm aversion" is characterised by the fact that employees, when faced with the same conditions as before, prefer to get assistance from a human being rather than from a computer programme. A possible definition of IT identity danger is "the anticipation of harm to an individual's self-beliefs, caused 2 | P a ge by the use of an IT, and the entity it applies to is the individual user of an IT." The individual user of an IT is the entity to whom this definition applies.A term that might be used to describe this obstruction is "IT identity threat." As a consequence of this, having an awareness of the development of upcoming predictors that impact AI resistance based on IT identity risks is very necessary. This is owing to the fact that it is anticipated that the introduction of AI would modify employment inside enterprises, which in turn may have an influence on the identities of the individuals working in such firms.
Download or read book A Primer on Managing Sovereign Debt Portfolio Risks written by Thordur Jonasson and published by International Monetary Fund. This book was released on 2018-04-06 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper provides an overview of sovereign debt portfolio risks and discusses various liability management operations (LMOs) and instruments used by public debt managers to mitigate these risks. Debt management strategies analyzed in the context of helping reach debt portfolio targets and attain desired portfolio structures. Also, the paper outlines how LMOs could be integrated into a debt management strategy and serve as policy tools to reduce potential debt portfolio vulnerabilities. Further, the paper presents operational issues faced by debt managers, including the need to develop a risk management framework, interactions of debt management with fiscal policy, monetary policy, and financial stability, as well as efficient government bond markets.
Download or read book Frontier Topics in Banking written by Elisabetta Gualandri and published by Springer. This book was released on 2019-05-28 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is twofold: Firstly to focus on the development of new instruments and topics in the financial industry. Secondly to analyze the development of “old” themes applied to different international contexts, such as cross-border banking and the role of government financial resources in China. With these goals in mind, the book explores the investigation of new instruments for the financing of SMEs and new ventures, such as mini bonds and equity crowdfunding. Additionally, it covers the field of corporate governance and corporate social responsibility including financial inclusion, gender roles, disclosure, social media roles and litigation. The book also investigates the choices followed by the Royal Swedish Academy in the selection of Nobel laureates in economics science to analyze their influence on the financial industry. Geared to banking academics, researchers and students, this book uncovers the most prominent issues within the banking industry today.
Download or read book Credit Risk written by Darrell Duffie and published by Princeton University Press. This book was released on 2012-01-12 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, two of America's leading economists provide the first integrated treatment of the conceptual, practical, and empirical foundations for credit risk pricing and risk measurement. Masterfully applying theory to practice, Darrell Duffie and Kenneth Singleton model credit risk for the purpose of measuring portfolio risk and pricing defaultable bonds, credit derivatives, and other securities exposed to credit risk. The methodological rigor, scope, and sophistication of their state-of-the-art account is unparalleled, and its singularly in-depth treatment of pricing and credit derivatives further illuminates a problem that has drawn much attention in an era when financial institutions the world over are revising their credit management strategies. Duffie and Singleton offer critical assessments of alternative approaches to credit-risk modeling, while highlighting the strengths and weaknesses of current practice. Their approach blends in-depth discussions of the conceptual foundations of modeling with extensive analyses of the empirical properties of such credit-related time series as default probabilities, recoveries, ratings transitions, and yield spreads. Both the "structura" and "reduced-form" approaches to pricing defaultable securities are presented, and their comparative fits to historical data are assessed. The authors also provide a comprehensive treatment of the pricing of credit derivatives, including credit swaps, collateralized debt obligations, credit guarantees, lines of credit, and spread options. Not least, they describe certain enhancements to current pricing and management practices that, they argue, will better position financial institutions for future changes in the financial markets. Credit Risk is an indispensable resource for risk managers, traders or regulators dealing with financial products with a significant credit risk component, as well as for academic researchers and students.
Download or read book Six Sigma DMAIC and Markov Chain Monte Carlo Applications to Financial Risk Management written by Bubevski, Vojo and published by IGI Global. This book was released on 2024-04-05 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial institutions face a critical challenge in managing financial risks effectively under the stringent regulatory frameworks of Basel III and Solvency II. Traditional risk management approaches often need to provide the necessary tools to control risks in a dynamic and evolving market environment. A comprehensive methodology integrating advanced risk analysis concepts and structured frameworks is essential for institutions to achieve optimal risk management outcomes, leading to increased solvency risk, capital requirements, and value at risk (VAR). Six Sigma DMAIC and Markov Chain Monte Carlo Applications to Financial Risk Management is a groundbreaking book that presents a transformative approach to financial risk management. Inspired by Peter L. Bernstein's insight on risk control, this book introduces a unique methodology that combines the DMAIC framework with advanced risk analysis concepts. Financial institutions can enhance their risk management processes by applying these tools to internal models for Solvency II and Basel III, reduce solvency risk, and improve competitiveness.
Download or read book Credit Scoring and Its Applications Second Edition written by Lyn Thomas and published by SIAM. This book was released on 2017-08-16 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Credit Scoring and Its Applications is recognized as the bible of credit scoring. It contains a comprehensive review of the objectives, methods, and practical implementation of credit and behavioral scoring. The authors review principles of the statistical and operations research methods used in building scorecards, as well as the advantages and disadvantages of each approach. The book contains a description of practical problems encountered in building, using, and monitoring scorecards and examines some of the country-specific issues in bankruptcy, equal opportunities, and privacy legislation. It contains a discussion of economic theories of consumers' use of credit, and readers will gain an understanding of what lending institutions seek to achieve by using credit scoring and the changes in their objectives. New to the second edition are lessons that can be learned for operations research model building from the global financial crisis, current applications of scoring, discussions on the Basel Accords and their requirements for scoring, new methods for scorecard building and new expanded sections on ways of measuring scorecard performance. And survival analysis for credit scoring. Other unique features include methods of monitoring scorecards and deciding when to update them, as well as different applications of scoring, including direct marketing, profit scoring, tax inspection, prisoner release, and payment of fines.
Download or read book Frontier Computing written by Jia-Wei Chang and published by Springer Nature. This book was released on 2022-01-01 with total page 2343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the proceedings of the 10th International Conference on Frontier Computing, held in Singapore, on July 10–13, 2020, and provides comprehensive coverage of the latest advances and trends in information technology, science, and engineering. It addresses a number of broad themes, including communication networks, business intelligence and knowledge management, web intelligence, and related fields that inspire the development of information technology. The respective contributions cover a wide range of topics: database and data mining, networking and communications, web and Internet of things, embedded systems, soft computing, social network analysis, security and privacy, optical communication, and ubiquitous/pervasive computing. Many of the papers outline promising future research directions, and the book benefits students, researchers, and professionals alike. Further, it offers a useful reference guide for newcomers to the field.
Download or read book Tutorials in Operations Research written by Institute for Operations Research and the Management Sciences. National Meeting and published by INFORMS. This book was released on 2008 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Interest Rate Risk in the Banking Book written by PAUL. NEWSON and published by . This book was released on 2017 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbooks in Operations Research and Management Science Financial Engineering written by John R. Birge and published by Elsevier. This book was released on 2007-11-16 with total page 1026 pages. Available in PDF, EPUB and Kindle. Book excerpt: The remarkable growth of financial markets over the past decades has been accompanied by an equally remarkable explosion in financial engineering, the interdisciplinary field focusing on applications of mathematical and statistical modeling and computational technology to problems in the financial services industry. The goals of financial engineering research are to develop empirically realistic stochastic models describing dynamics of financial risk variables, such as asset prices, foreign exchange rates, and interest rates, and to develop analytical, computational and statistical methods and tools to implement the models and employ them to design and evaluate financial products and processes to manage risk and to meet financial goals. This handbook describes the latest developments in this rapidly evolving field in the areas of modeling and pricing financial derivatives, building models of interest rates and credit risk, pricing and hedging in incomplete markets, risk management, and portfolio optimization. Leading researchers in each of these areas provide their perspective on the state of the art in terms of analysis, computation, and practical relevance. The authors describe essential results to date, fundamental methods and tools, as well as new views of the existing literature, opportunities, and challenges for future research.
