Credit Rating Migration Risks in Structure Models
| Author | : Jin Liang |
| Publisher | : Springer Nature |
| Total Pages | : 284 |
| Release | : |
| Genre | : |
| ISBN | : 9819721792 |
Credit Rating Migration Risks In Structure Models
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Applied Quantitative Finance
| Author | : Wolfgang Karl Härdle |
| Publisher | : Springer |
| Total Pages | : 369 |
| Release | : 2017-08-02 |
| Genre | : Business & Economics |
| ISBN | : 3662544865 |
This volume provides practical solutions and introduces recent theoretical developments in risk management, pricing of credit derivatives, quantification of volatility and copula modeling. This third edition is devoted to modern risk analysis based on quantitative methods and textual analytics to meet the current challenges in banking and finance. It includes 14 new contributions and presents a comprehensive, state-of-the-art treatment of cutting-edge methods and topics, such as collateralized debt obligations, the high-frequency analysis of market liquidity, and realized volatility. The book is divided into three parts: Part 1 revisits important market risk issues, while Part 2 introduces novel concepts in credit risk and its management along with updated quantitative methods. The third part discusses the dynamics of risk management and includes risk analysis of energy markets and for cryptocurrencies. Digital assets, such as blockchain-based currencies, have become popular b ut are theoretically challenging when based on conventional methods. Among others, it introduces a modern text-mining method called dynamic topic modeling in detail and applies it to the message board of Bitcoins. The unique synthesis of theory and practice supported by computational tools is reflected not only in the selection of topics, but also in the fine balance of scientific contributions on practical implementation and theoretical concepts. This link between theory and practice offers theoreticians insights into considerations of applicability and, vice versa, provides practitioners convenient access to new techniques in quantitative finance. Hence the book will appeal both to researchers, including master and PhD students, and practitioners, such as financial engineers. The results presented in the book are fully reproducible and all quantlets needed for calculations are provided on an accompanying website. The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allows readers to reproduce the tables, pictures and calculations inside this Springer book.
Rating Based Modeling of Credit Risk
| Author | : Stefan Trueck |
| Publisher | : Academic Press |
| Total Pages | : 279 |
| Release | : 2009-01-15 |
| Genre | : Business & Economics |
| ISBN | : 0080920306 |
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
Semi-Markov Migration Models for Credit Risk
| Author | : Guglielmo D'Amico |
| Publisher | : John Wiley & Sons |
| Total Pages | : 318 |
| Release | : 2017-06-26 |
| Genre | : Mathematics |
| ISBN | : 1848219059 |
Credit risk is one of the most important contemporary problems for banks and insurance companies. Indeed, for banks, more than forty percent of the equities are necessary to cover this risk. Though this problem is studied by large rating agencies with substantial economic, social and financial tools, building stochastic models is nevertheless necessary to complete this descriptive orientation. This book presents a complete presentation of such a category of models using homogeneous and non-homogeneous semi-Markov processes developed by the authors in several recent papers. This approach provides a good method of evaluating the default risk and the classical VaR indicators used for Solvency II and Basel III governance rules. This book is the first to present a complete semi-Markov treatment of credit risk while also insisting on the practical use of the models presented here, including numerical aspects, so that this book is not only useful for scientific research but also to managers working in this field for banks, insurance companies, pension funds and other financial institutions.
Economic Capital
| Author | : Pieter Klaassen |
| Publisher | : Elsevier |
| Total Pages | : 302 |
| Release | : 2009-05-28 |
| Genre | : Business & Economics |
| ISBN | : 0080956807 |
Managers can deploy and manage economic capital more effectively when they understand how their decisions add value to their organizations. Economic Capital: How It Works and What Every Manager Needs to Know presents new ways to define, measure, and implement management strategies by using recent examples, many from the sub-prime crisis. The authors also discuss the role of economic capital within the broader context of management responsibilities and activities as well as its relation to other risk management tools that are available to the modern risk manager. - Explains ways to use economic capital in balancing risk and return - Evaluates solutions to problems encountered in establishing an economic capital framework - Emphasizes intuition - Draws special attention to embedding risk modelling approaches within economic capital frameworks
Credit Derivatives
| Author | : Mark J. P. Anson |
| Publisher | : John Wiley & Sons |
| Total Pages | : 353 |
| Release | : 2004-02-01 |
| Genre | : Business & Economics |
| ISBN | : 0471652385 |
An essential guide to credit derivatives Credit derivatives has become one of the fastest-growing areas of interest in global derivatives and risk management. Credit Derivatives takes the reader through an in-depth explanation of an investment tool that has been increasingly used to manage credit risk in banking and capital markets. Anson discusses everything from the basics of why credit risk is important to accounting and tax implications of credit derivatives. Key topics covered in this essential guidebook include: credit swaps; credit forwards; credit linked notes; and credit derivative pricing models. Anson also discusses the implications of credit risk management as well as credit derivative regulation. Using charts, examples, basic investment theory, and elementary mathematics, Credit Derivatives illustrates the real-world practice and applications of credit derivatives products. Mark J. P. Anson (Sacramento, CA) is the Chief Investment Officer at Calpers. Frank J. Fabozzi (New Hope, PA) is a Fellow of the International Center for Finance at Yale University. Moorad Choudhry (Surrey, UK) is a Vice President in Structured Finance Services with JP Morgan Chase Bank in London. Ren-Raw Chen is an Assistant and Associate Professor at the Rutgers University Faculty of Management.
Financial Modelling
| Author | : Maria Bonilla |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 426 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 3642576524 |
This book contains a selection of the papers presented at the 24th Meeting of the Euro Working Group on Financial Modelling held in Valencia, Spain, on April 8-10, 1.999. The Meeting took place in the Bancaja Cultural Center, a nice palace of the XIX century, located in the center of the city. Traditionally, members of the Euro Working Group on Financial Mod elling meet twice a year, hosted by different active groups in successions. The year 1999 was very special for us because the University of Valencia celebrates its fifth century. The Meeting was very well attended and of high quality. More than 90 participants, coming from 20 different countries debated 46 communications in regular sessions. The opening lecture was given by Prof. H. White, from the University of California, San Diego. The topics discussed were classified in nine sessions: Financial Theory, Financial Time Series, Risk Analysis, Portfolio Analysis, Financial Institu tions, Microstructures Market and Corporate Finance, Methods in Finance, Models in Finance and Derivatives. The papers collected in this volume provide a representative but not com plete sample of the fields where the members of the working group develop their scientific activity. The papers are a sample of this activity, and consist of theoretical papers as well as empirical ones.
Credit Derivatives
| Author | : Gunter Meissner |
| Publisher | : John Wiley & Sons |
| Total Pages | : 248 |
| Release | : 2009-02-04 |
| Genre | : Business & Economics |
| ISBN | : 1405137460 |
The market for credit derivatives--financial instruments designedto transfer credit risk from one party to another--has grownexponentially in recent years, with volume expected to reach morethan $4.8 trillion by 2004. With demand increasing from the privatesector for finance professionals trained in the opportunities--anddangers--inherent in this fast-changing market, finance courses arealready springing up to meet this need. Credit Derivatives: Explains the field of credit derivatives to business studentswith a background in finance Cites real-world examples throughout, reinforced byend-of-chapter questions and internet links to pricing models Provides a concise overview of the field that is ideal forinstructors seeking to supplement traditional derivatives coursematerial, as well as those looking to offer a stand-alone course oncredit derivatives.
Credit Risk Modeling using Excel and VBA
| Author | : Gunter Löeffler |
| Publisher | : John Wiley & Sons |
| Total Pages | : 280 |
| Release | : 2007-04-30 |
| Genre | : Business & Economics |
| ISBN | : 0470510749 |
In today's increasingly competitive financial world, successful risk management, portfolio management, and financial structuring demand more than up-to-date financial know-how. They also call for quantitative expertise, including the ability to effectively apply mathematical modeling tools and techniques, in this case credit. Credit Risk Modeling using Excel and VBA with DVD provides practitioners with a hands on introduction to credit risk modeling. Instead of just presenting analytical methods it shows how to implement them using Excel and VBA, in addition to a detailed description in the text a DVD guides readers step by step through the implementation. The authors begin by showing how to use option theoretic and statistical models to estimate a borrowers default risk. The second half of the book is devoted to credit portfolio risk. The authors guide readers through the implementation of a credit risk model, show how portfolio models can be validated or used to access structured credit products like CDO’s. The final chapters address modeling issues associated with the new Basel Accord.
Certified Credit Research Analyst (CCRA) Level 2
| Author | : Aditya Gadge |
| Publisher | : AIWMI |
| Total Pages | : 429 |
| Release | : 2013-12-25 |
| Genre | : Business & Economics |
| ISBN | : 9350713810 |
The Certified Credit Research Analyst (CCRATM) is a comprehensive global education program designed to give an expert level understanding of credit markets to fresh graduates and experienced professionals. It integrates the fundamentals of financial analysis, credit analysis, rating methodologies, credit strategy and structuring. It offers the tools a candidate needs to occupy key positions in the world of finance, private banking, credit ratings and fixed income domain
