Download or read book Data Analysis and Applications 4 written by Andreas Makrides and published by John Wiley & Sons. This book was released on 2020-04-09 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is self-evident. New publications are appearing, covering the need for information from all fields of science and engineering, thanks to the universal relevance of data analysis and statistics packages. This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis. The chapters included in this volume represent a cross-section of current concerns and research interests in these scientific areas. The material is divided into three parts: Financial Data Analysis and Methods, Statistics and Stochastic Data Analysis and Methods, and Demographic Methods and Data Analysis- providing the reader with both theoretical and applied information on data analysis methods, models and techniques and appropriate applications.

Download or read book Credit Risk written by Niklas Wagner and published by CRC Press. This book was released on 2008-05-28 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Featuring contributions from leading international academics and practitioners, Credit Risk: Models, Derivatives, and Management illustrates how a risk management system can be implemented through an understanding of portfolio credit risks, a set of suitable models, and the derivation of reliable empirical results. Divided into six sectio

Download or read book Concentration Risk in Credit Portfolios written by Eva Lütkebohmert and published by Springer Science & Business Media. This book was released on 2008-09-30 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modeling and management of credit risk are the main topics within banks and other lending institutions. Historical experience shows that, in particular, concentration of risk in credit portfolios has been one of the major causes of bank distress. Therefore, concentration risk is highly relevant to anyone who wants to go beyond the very basic portfolio credit risk models. The book gives an introduction to credit risk modeling with the aim to measure concentration risks in credit portfolios. Taking the basic principles of credit risk in general as a starting point, several industry models are studied. These allow banks to compute a probability distribution of credit losses at the portfolio level. Besides these industry models the Internal Ratings Based model, on which Basel II is based, is treated. On the basis of these models various methods for the quantification of name and sector concentration risk and the treatment of default contagion are discussed. The book reflects current research in these areas from both an academic and a supervisory perspective

Download or read book Retail Credit Risk Management written by M. Anolli and published by Palgrave Macmillan. This book was released on 2013-01-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing the fundamentals of retail credit risk management, this book provides a broad and applied investigation of the related modeling theory and methods, and explores the interconnections of risk management, by focusing on retail and the constant reference to the implications of the financial crisis for credit risk management.

Download or read book Introduction to Credit Risk Modeling written by Christian Bluhm and published by CRC Press. This book was released on 2016-04-19 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contains Nearly 100 Pages of New MaterialThe recent financial crisis has shown that credit risk in particular and finance in general remain important fields for the application of mathematical concepts to real-life situations. While continuing to focus on common mathematical approaches to model credit portfolios, Introduction to Credit Risk Modelin

Download or read book Credit Risk Modeling written by David Lando and published by Princeton University Press. This book was released on 2009-12-13 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Credit risk is today one of the most intensely studied topics in quantitative finance. This book provides an introduction and overview for readers who seek an up-to-date reference to the central problems of the field and to the tools currently used to analyze them. The book is aimed at researchers and students in finance, at quantitative analysts in banks and other financial institutions, and at regulators interested in the modeling aspects of credit risk. David Lando considers the two broad approaches to credit risk analysis: that based on classical option pricing models on the one hand, and on a direct modeling of the default probability of issuers on the other. He offers insights that can be drawn from each approach and demonstrates that the distinction between the two approaches is not at all clear-cut. The book strikes a fruitful balance between quickly presenting the basic ideas of the models and offering enough detail so readers can derive and implement the models themselves. The discussion of the models and their limitations and five technical appendixes help readers expand and generalize the models themselves or to understand existing generalizations. The book emphasizes models for pricing as well as statistical techniques for estimating their parameters. Applications include rating-based modeling, modeling of dependent defaults, swap- and corporate-yield curve dynamics, credit default swaps, and collateralized debt obligations.

Download or read book Quantitative Equity Portfolio Management written by Edward E. Qian and published by CRC Press. This book was released on 2007-05-11 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative equity portfolio management combines theories and advanced techniques from several disciplines, including financial economics, accounting, mathematics, and operational research. While many texts are devoted to these disciplines, few deal with quantitative equity investing in a systematic and mathematical framework that is suitable for

Download or read book Systematic Investing in Credit written by Arik Ben Dor and published by John Wiley & Sons. This book was released on 2020-12-10 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for SYSTEMATIC INVESTING in CREDIT "Lev and QPS continue to shed light on the most important questions facing credit investors. This book focuses on their latest cutting-edge research into the appropriate role of credit as an asset class, the dynamics of credit benchmarks, and potential ways to benefit from equity information to construct effective credit portfolios. It is must-read material for all serious credit investors." —Richard Donick, President and Chief Risk Officer, DCI, LLC, USA "Lev Dynkin and his team continue to spoil us; this book is yet another example of intuitive, insightful, and pertinent research, which builds on the team's previous research. As such, the relationship with this team is one of the best lifetime learning experiences I have had." —Eduard van Gelderen, Chief Investment Officer, Public Sector Pension Investment Board, Canada "The rise of a systematic approach in credit is a logical extension of the market's evolution and long overdue. Barclays QPS team does a great job of presenting its latest research in a practical manner." —David Horowitz, Chief Executive Officer and Chief Investment Officer, Agilon Capital, USA "Systematization reduces human biases and wasteful reinventing of past solutions. It improves the chances of investing success. This book, by a team of experts, shows you the way. You will gain insights into the advanced methodologies of combining fundamental and market data. I recommend this book for all credit investors." —Lim Chow Kiat, Chief Executive Officer, GIC Asset Management, Singapore "For nearly two decades, QPS conducted extensive and sound research to help investors meet industry challenges. The proprietary research in this volume gives a global overview of cutting-edge developments in alpha generation for credit investors, from signal extraction and ESG considerations to portfolio implementation. The book blazes a trail for enhanced risk adjusted returns by exploring the cross-asset relation between stocks and bonds and adding relevant information for credit portfolio construction. Our core belief at Ostrum AM, is that a robust quantamental approach, yields superior investment outcomes. Indeed, this book is a valuable read for the savvy investor." —Ibrahima Kobar, CFA, Global Chief Investment Officer, Ostrum AM, France "This book offers a highly engaging account of the current work by the Barclays QPS Group. It is a fascinating mix of original ideas, rigorous analytical techniques, and fundamental insights informed by a long history of frontline work in this area. This is a must-read from the long-time leaders in the field." —Professor Leonid Kogan, Nippon Telephone and Telegraph Professor of Management and Finance, MIT "This book provides corporate bond portfolio managers with an abundance of relevant, comprehensive, data-driven research for the implementation of superior investment performance strategies." —Professor Stanley J. Kon, Editor, Journal of Fixed income "This book is a treasure trove for both pension investors and trustees seeking to improve performance through credit. It provides a wealth of empirical evidence to guide long-term allocation to credit, optimize portfolio construction and harvest returns from systematic credit factors. By extending their research to ESG ratings, the authors also provide timely insights in the expanding field of sustainable finance." —Eloy Lindeijer, former Chief of Investment Management, PGGM, Netherlands "Over more than a decade, Lev Dynkin and his QPS team has provided me and APG with numerous innovative insights in credit markets. Their work gave us valuable quantitative substantiation of some of our investment beliefs. This book covers new and under-researched areas of our markets, like ESG and factor investing, next to the rigorous and practical work akin to the earlier work of the group. I'd say read this book—and learn from one of the best." —Herman Slooijer, Managing Director, Head of Fixed Income, APG Asset Management, Netherlands

Download or read book Innovations in Quantitative Risk Management written by Kathrin Glau and published by Springer. This book was released on 2015-01-09 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative models are omnipresent –but often controversially discussed– in todays risk management practice. New regulations, innovative financial products, and advances in valuation techniques provide a continuous flow of challenging problems for financial engineers and risk managers alike. Designing a sound stochastic model requires finding a careful balance between parsimonious model assumptions, mathematical viability, and interpretability of the output. Moreover, data requirements and the end-user training are to be considered as well. The KPMG Center of Excellence in Risk Management conference Risk Management Reloaded and this proceedings volume contribute to bridging the gap between academia –providing methodological advances– and practice –having a firm understanding of the economic conditions in which a given model is used. Discussed fields of application range from asset management, credit risk, and energy to risk management issues in insurance. Methodologically, dependence modeling, multiple-curve interest rate-models, and model risk are addressed. Finally, regulatory developments and possible limits of mathematical modeling are discussed.

Download or read book Portfolio Risk Analysis written by Gregory Connor and published by Princeton University Press. This book was released on 2010-03-15 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Portfolio risk forecasting has been and continues to be an active research field for both academics and practitioners. Almost all institutional investment management firms use quantitative models for their portfolio forecasting, and researchers have explored models' econometric foundations, relative performance, and implications for capital market behavior and asset pricing equilibrium. Portfolio Risk Analysis provides an insightful and thorough overview of financial risk modeling, with an emphasis on practical applications, empirical reality, and historical perspective. Beginning with mean-variance analysis and the capital asset pricing model, the authors give a comprehensive and detailed account of factor models, which are the key to successful risk analysis in every economic climate. Topics range from the relative merits of fundamental, statistical, and macroeconomic models, to GARCH and other time series models, to the properties of the VIX volatility index. The book covers both mainstream and alternative asset classes, and includes in-depth treatments of model integration and evaluation. Credit and liquidity risk and the uncertainty of extreme events are examined in an intuitive and rigorous way. An extensive literature review accompanies each topic. The authors complement basic modeling techniques with references to applications, empirical studies, and advanced mathematical texts. This book is essential for financial practitioners, researchers, scholars, and students who want to understand the nature of financial markets or work toward improving them.

Download or read book Rating Based Modeling of Credit Risk written by Stefan Trueck and published by Academic Press. This book was released on 2009-01-15 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last decade rating-based models have become very popular in credit risk management. These systems use the rating of a company as the decisive variable to evaluate the default risk of a bond or loan. The popularity is due to the straightforwardness of the approach, and to the upcoming new capital accord (Basel II), which allows banks to base their capital requirements on internal as well as external rating systems. Because of this, sophisticated credit risk models are being developed or demanded by banks to assess the risk of their credit portfolio better by recognizing the different underlying sources of risk. As a consequence, not only default probabilities for certain rating categories but also the probabilities of moving from one rating state to another are important issues in such models for risk management and pricing. It is widely accepted that rating migrations and default probabilities show significant variations through time due to macroeconomics conditions or the business cycle. These changes in migration behavior may have a substantial impact on the value-at-risk (VAR) of a credit portfolio or the prices of credit derivatives such as collateralized debt obligations (D+CDOs). In Rating Based Modeling of Credit Risk the authors develop a much more sophisticated analysis of migration behavior. Their contribution of more sophisticated techniques to measure and forecast changes in migration behavior as well as determining adequate estimators for transition matrices is a major contribution to rating based credit modeling. Internal ratings-based systems are widely used in banks to calculate their value-at-risk (VAR) in order to determine their capital requirements for loan and bond portfolios under Basel II One aspect of these ratings systems is credit migrations, addressed in a systematic and comprehensive way for the first time in this book The book is based on in-depth work by Trueck and Rachev

Download or read book Pillar II in the New Basel Accord written by Andrea Resti and published by . This book was released on 2008 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Raises awareness of the scope of Pillar 2 and takes the reader through every main strand.

Download or read book Managing Portfolio Credit Risk in Banks An Indian Perspective written by Arindam Bandyopadhyay and published by Cambridge University Press. This book was released on 2016-05-09 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains how a proper credit risk management framework enables banks to identify, assess and manage the risk proactively.

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 Recovery Risk written by Edward I. Altman and published by Bloomberg Press. This book was released on 2005-01-01 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this ground-breaking new title, Risk Books brings together three prominent editors to provide a timely reference text on loss given default (LGD) measurement and management and the requirements of the Basel II Capital Accord.

Download or read book Credit Portfolio Management written by Charles Smithson and published by John Wiley & Sons. This book was released on 2003-04-07 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: A cutting-edge text on credit portfolio management Credit risk. A number of market factors are causing revolutionary changes in the way it is measured and managed at financial institutions. Charles Smithson, author of the bestselling Managing Financial Risk, introduces a portfolio management approach to credit in his latest book. Understanding how to manage the inherent risks of this market has become increasingly important over the years. Credit Portfolio Management provides readers with a complete understanding of the alternative approaches to credit risk measurement and portfolio management. This definitive guide discusses the pricing and managing of credit risks associated with a variety of off-balance-sheet products such as credit default swaps, total return swaps, first-to-default baskets, and credit spread options; as well as on-balance-sheet customized structured products such as credit-linked notes, repackage notes, and synthetic collateralized debt obligations (CDOs). Filled with expert insight and advice, this book is a must-read for all credit professionals. Charles W. Smithson, PhD (New York, NY), is the Managing Partner of Rutter Associates and Executive Director of the International Association of Credit Portfolio Managers (IACPM). He is the author of five books, including The Handbook of Financial Engineering and Managing Financial Risk (now in its Third Edition).

Download or read book Consumer Credit Models written by Lyn C. Thomas and published by OUP Oxford. This book was released on 2009-01-29 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of credit scoring - the quantitative and statistical techniques to assess the credit risks involved in lending to consumers - has been one of the most successful if unsung applications of mathematics in business for the last fifty years. Now with lenders changing their objectives from minimising defaults to maximising profits, the saturation of the consumer credit market allowing borrowers to be more discriminating in their choice of which loans, mortgages and credit cards to use, and the Basel Accord banking regulations raising the profile of credit scoring within banks there are a number of challenges that require new models that use credit scores as inputs and extensions of the ideas in credit scoring. This book reviews the current methodology and measures used in credit scoring and then looks at the models that can be used to address these new challenges. The first chapter describes what a credit score is and how a scorecard is built which gives credit scores and models how the score is used in the lending decision. The second chapter describes the different ways the quality of a scorecard can be measured and points out how some of these measure the discrimination of the score, some the probability prediction of the score, and some the categorical predictions that are made using the score. The remaining three chapters address how to use risk and response scoring to model the new problems in consumer lending. Chapter three looks at models that assist in deciding how to vary the loan terms made to different potential borrowers depending on their individual characteristics. Risk based pricing is the most common approach being introduced. Chapter four describes how one can use Markov chains and survival analysis to model the dynamics of a borrower's repayment and ordering behaviour . These models allow one to make decisions that maximise the profitability of the borrower to the lender and can be considered as part of a customer relationship management strategy. The last chapter looks at how the new banking regulations in the Basel Accord apply to consumer lending. It develops models that show how they will change the operating decisions used in consumer lending and how their need for stress testing requires the development of new models to assess the credit risk of portfolios of consumer loans rather than a models of the credit risks of individual loans.