Structured Credit Portfolio Analysis, Baskets and CDOs PDF Download

Author: Christian Bluhm
Publisher: CRC Press
ISBN: 1420011472
Category : Business & Economics
Languages : en
Pages : 376

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Book Description
The financial industry is swamped by credit products whose economic performance is linked to the performance of some underlying portfolio of credit-risky instruments, like loans, bonds, swaps, or asset-backed securities. Financial institutions continuously use these products for tailor-made long and short positions in credit risks. Based on a stead

Author: Craig Mounfield
Publisher: Cambridge University Press
ISBN: 0521897882
Category : Business & Economics
Languages : en
Pages : 386

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Book Description
Details the latest models and techniques in quantitative and computational modelling of synthetic Collateralised Debt Obligations.

Author: Enrico Marcantoni
Publisher: Springer Science & Business Media
ISBN: 3658048468
Category : Business & Economics
Languages : en
Pages : 102

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Book Description
The author focuses on a method to price Collateralized Debt Obligations (CDO) tranches. The original method is developed by Castagna, Mercurio and Mosconi in 2012. The Thesis provides an extension of the original work by generalizing the Gaussian dependence in terms of Copula functions. In particular the model is rewritten for the specific case of the Clayton copula. The method is applied to price the tranches of a CDX. By comparing the tranches prices, it is possible to notice that the Clayton approach leads to smaller equity and mezzanine tranches. The senior and super senior tranches levels are higher when the dependence is modeled by a Clayton copula.

Author: Bloomsbury Publishing
Publisher: A&C Black
ISBN: 184930064X
Category : Business & Economics
Languages : en
Pages : 6938

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Book Description
QFINANCE: The Ultimate Resource (4th edition) offers both practical and thought-provoking articles for the finance practitioner, written by leading experts from the markets and academia. The coverage is expansive and in-depth, with key themes which include balance sheets and cash flow, regulation, investment, governance, reputation management, and Islamic finance encompassed in over 250 best practice and thought leadership articles. This edition will also comprise key perspectives on environmental, social, and governance (ESG) factors -- essential for understanding the long-term sustainability of a company, whether you are an investor or a corporate strategist. Also included: Checklists: more than 250 practical guides and solutions to daily financial challenges; Finance Information Sources: 200+ pages spanning 65 finance areas; International Financial Information: up-to-date country and industry data; Management Library: over 130 summaries of the most popular finance titles; Finance Thinkers: 50 biographies covering their work and life; Quotations and Dictionary.

Author: Bloomsbury Publishing
Publisher: Bloomsbury Publishing
ISBN: 1472915895
Category : Business & Economics
Languages : en
Pages : 7101

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Book Description
QFINANCE: The Ultimate Resource (5th edition) is the first-step reference for the finance professional or student of finance. Its coverage and author quality reflect a fine blend of practitioner and academic expertise, whilst providing the reader with a thorough education in the may facets of finance.

Author: Christian Bluhm
Publisher: CRC Press
ISBN: 1584889934
Category : Business & Economics
Languages : en
Pages : 386

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Book Description
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

Author: Wolfgang Karl Härdle
Publisher: Springer
ISBN: 3662544865
Category : Business & Economics
Languages : en
Pages : 369

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Book Description
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.

Author: Charles Smithson
Publisher: John Wiley & Sons
ISBN: 0471465429
Category : Business & Economics
Languages : en
Pages : 354

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Book Description
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).

Author: Stefan Trueck
Publisher: Academic Press
ISBN: 0080920306
Category : Business & Economics
Languages : en
Pages : 279

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Book Description
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

Author: Niklas Wagner
Publisher: CRC Press
ISBN: 1584889950
Category : Business & Economics
Languages : en
Pages : 600

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Book Description
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