Showing posts with label credit risk. Show all posts
Showing posts with label credit risk. Show all posts

American Credit Repair: Everything U Need to Know About Raising Your Credit Score (American Real Estate)

The Definitive Guide to Raising Your Credit Score

Whether you're recovering from financial problems or need to pump up your score to qualify for a mortgage, you need reliable information and expert guidance to fix and improve your credit rating. Drawn from years of experience helping thousands of consumers, American Credit Repair empowers you with “Everything U Need To Know…” to raise your credit score.

Everything U Need to Know about
Credit Repaire

* Obtaining and understanding consumer credit reports
* Correcting past mistakes and planning for the future
* Disputing inaccurate data on your credit file
* Dealing with collection agencies
* Avoiding foreclosure and bankruptcy

BONUS CD-ROM FEATURES: Ready-to-print forms and letters to repair your credit on your own plus vital consumer protection resources you can't do without, and much more!

Editorial Reviews

From the Back Cover

About the Author

Trevor Rhodes is founder and CEO of AmerUSA, the nation's leading tenant credit reporting agency.

Nadine Smith, Esq. is a respected credit attorney, concentrating in consumer debt and tax law.


Customer Reviews

Helpful and easy5
My third purchase from this set and this one can truly help you. Chapter 10 on raising your score in less than 10 days is effective. Not only is the entire book easy to understand, but the CD is tremendously helpful in getting the process started for repairing your credit report. The CD contains letters already prepared for you to fill out, print and send.




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Credit Risk Modeling using Excel and VBA (The Wiley Finance Series)

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.

Editorial Reviews

From the Inside Flap
Credit risk modelling using Excel and VBA

From the Back Cover
This book provides practitioners and students with an intuitive, hands-on introduction to modern credit risk modeling. A typical chapter starts with an approachable presentation of the methodology. Step by step, the authors then show how to implement the methods in Excel and Visual Basic for Applications. Focusing on risk management issues, the book covers default probability estimation (scoring, structural models, and transition matrices), correlation and portfolio analysis, validation, as well as credit default swaps and structured finance. Several appendices and videos increase ease of access.

The authors present a host of applications – many of which go beyond standard Excel or VBA usages. For example, they show how to estimate logit models with maximum likelihood, or how to conduct large-scale Monte Carlo simulations in little time. Even to experienced modelers the book can serve as a toolbox and source of inspiration.

"In one place, Löffler and Posch provide all that is needed to install state-of-the-art risk management system, including a broad understanding of different risk management frameworks, detailed estimation techniques for deriving PD, LGD, and correlation parameters, and programing tools for putting these methods into practice."
Richard Cantor, Managing Director, Credit Policy Research, Moody’s Investors Service

"I read this book cover-to-cover and recommend it heartily. For each topic, there is straightforward explanation, practical examples, and implementable coding. This book would have saved me months of effort many times over with its full ‘toolset’ of Excel/VBA code. I have immediate plans to reread sections and incorporate sections of code into my own spreadsheets."
—Greg M. Gupton, Fitch Ratings & DefaultRisk.com

About the Author
GUNTER LÖFFLER is professor of finance at the University of Ulm in Germany. His current research interests are on credit risk and empirical finance. Previously, Gunter was assistant professor at Goethe University Frankfurt, and served as an internal consultant in the asset management division of Commerzbank. His Ph.D. in finance is from the University of Mannheim. Gunter has studied at Heidelberg and Cambridge Universities.

PETER N. POSCH is PhD student in finance at the chair of Gunter Löffler. His current research focus is on credit risk and financial econometrics. Peter studied philosophy and economics and holds a Diplom, M.Sc. equivalent, in economics from the University of Bonn.


Customer Reviews

very good guide to credit risk modeling4
Finally a book came out that concerns the "normal" credit risk modeling as opposed to just credit risk pricing of derivatives and structured products. This book is excellent. I give it 4 stars because of the choice of the software, i.e. Excel. Almost everyone who is doing this kind of analysis is not doing it in Excel (from experience) but rather S-PLUS, R or SAS. But ok, not that big of a problem.
I would say that this is a good guide to credit risk modeling, but the reader should fill quite a lot for him/herself, but this will come from practice. Overall, the authors present the problems and solutions in a intuitive way and quite narrative, which makes it an easy read. They also explain the Excel and VBA code rather than just presenting it, which enables the reader to reproduce it easier.
Overall, I would recommend this book to anyone in credit risk management and especially to universities and students as often they come unprepared to the real world of credit risk modeling.

Good book guiding credit risk model4
This book introduces credit risk model with Excel example. It is not just the math formula. author use tangible Excel examples to explain how to do it and make us easily unstanding. This book is versy suitable for people who is interesting in credit risk field.

Credit Risk Modeling using Excel and VBA5
The book is a very good guide for anyone who is not familiar with Excel, VBA and or credit risk modelling. Even for the more experienced practitioner there is something to learn. For anyone wanting a practical guide I would thoroughly recommend this book.






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The Standard & Poor's Guide to Measuring and Managing Credit Risk

Today's most complete, up-to-date reference for controlling credit risk exposure of all types, in every environment

Measuring and Managing Credit Risk takes you far beyond the Basel guidelines to detail a powerful, proven program for understanding and controlling your firm’s credit risk. Providing hands-on answers on practical topics from capital management to correlations, and supporting its theories with up-to-the-minute data and insights, this authoritative book examines every key aspect of credit risk, including:

* Determinants of credit risk and pricing/spread implications
* Quantitative models for moving beyond Altman’s Z score to separate “good” borrowers from “bad”
* Key determinants of loss given default, and potential links between recovery rates and probabilities of default
* Measures of dependency including linear correlation, and the impact of correlation on portfolio losses
* A detailed review of five of today’s most popular portfolio models—CreditMetrics, CreditPortfolioView, Portfolio Risk Tracker, CreditRisk+, and Portfolio Manager
* How credit risk is reflected in the prices and yields of individual securities
* How derivatives and securitization instruments can be used to transfer and repackage credit risk

Today’s credit risk measurement and management tools and techniques provide organizations with dramatically improved strength and flexibility, not only in mitigating risk but also in improving overall financial performance. Measuring and Managing Credit Risk introduces and explores each of these tools, along with the rapidly evolving global credit environment, to provide bankers and other financial decision-makers with the know-how to avoid excessive credit risk where possible—and mitigate it when necessary.


Editorial Reviews

From the Back Cover

State-of-the-art tools and techniques for controlling credit risk exposure of all types, in every environment

The oldest risk in world financial markets--credit risk--has become a leading source of problems and confusion, not just for bankers and investors but for all finance professionals. The Standard & Poor's Guide to Measuring and Managing Credit Risk will help you understand every aspect of credit risk, and provide you with today's most up-to-date techniques and models for identifying, measuring, monitoring, and controlling your organization's credit risk exposure.

Praise for The Standard & Poor's Guide to Measuring and Managing Credit Risk:

"de Servigny and Renault have written a valuable reference book on the analytics of credit markets. Theory and data are integrated seamlessly throughout the manuscript. The mathematical treatment is complete, though not overbearing. The economics, pricing, structuring and capital allocation aspects are artfully combined into a coherent whole."

--Jamil Baz, Global Head of Fixed Income Research, Deutsche Bank

"This is much more than just a 'how to' book--it is analytically complete in that it looks at the microeconomics of industry structure to understand why credit risks have to be measured and monitored as well as being comprehensive in covering all the different approaches used to monitor and measure credit risk."

--Bunt Ghosh, Global Head of Fixed Income Research, Credit Suisse First Boston

"This extensive work, really clear while dealing with sophisticated methodologies, is right in the heart of today's concerns."

--Jean-Pierre Mustier, CEO, SG Corporate and Investment Banking

"de Servigny and Renault provide a comprehensive treatment of all aspects of modern credit risk measurement, management, and mitigation, not only for large corporations but also for retail and small business (with an excellent chapter on credit scoring). This book is an absolute must for both academics and risk professionals, especially those struggling with the implementation of Basel II."

--Michel Crouhy, Head of Business Analytic Solutions, Canadian Imperial Bank of Commerce

Fast-changing regulations, transformative technologies, and today's go-for-broke business mentality present investment banks and other lenders with default problems that are both unprecedented and daunting. To keep pace with this change, finance professionals are finding they must continually review and upgrade their credit risk management tools and techniques.

The Standard & Poor's Guide to Measuring and Managing Credit Risk takes you far beyond the Basel guidelines to detail a powerful, proven program for understanding and controlling your firm's credit risk. Providing hands-on answers on practical topics from capital management to correlations, and supporting its theories with discerning data and insights, this authoritative book examines every key aspect of credit risk, including:

  • Determinants of credit risk and pricing/spread implications
  • Quantitative models for moving beyond Altman's Z score to separate "good" borrowers from "bad"
  • Key determinants of loss given default, and potential links between recovery rates and probabilities of default
  • Measures of dependency including linear correlation, and the impact of correlation on portfolio losses
  • A detailed review of five of today's most popular portfolio models--CreditMetrics, CreditPortfolioView, Portfolio Risk Tracker, CreditRisk+, and Portfolio Manager
  • How credit risk is reflected in the prices and yields of individual securities
  • How derivatives and securitization instruments can be used to transfer and repackage credit risk

Today's credit risk measurement and management tools and techniques provide organizations with dramatically improved strength and flexibility, not only in mitigating risk but also in improving overall financial performance. The Standard & Poor's Guide to Measuring and Managing Credit Risk introduces and explores each of these tools, along with the rapidly evolving global credit environment, to provide bankers and other financial decision-makers with the know-how to avoid excessive credit risk where possible--and mitigate it when necessary.

About the Author

Arnaud de Servigny, Ph.D., is the head of Quantitative Analytics for Standard & Poor's. A popular speaker at conferences and seminars throughout Europe, de Servigny is the author of a number of books and articles on finance and credit risk.

Olivier Renault, Ph.D., works in portfolio modeling in the quantitative analytics and products team for Standard & Poor's Risk Solutions. Prior to joining Standard and Poor's, Olivier was a lecturer on finance at the London School of Economics where he taught derivatives and risk.


Customer Reviews

a complete, robust and comprehensive valuable resource!5
In Measuring and Managing Credit Risk, the authors provided a robust, complete and comprehensive treatment of several aspects of modern credit risk measurement and management. Written by two high talented practitioners, this book will become certainly a reference both for academics and practitioners thanks to its careful treatment of several not so known empirical issues which practitioners have to face everyday. At the same time, do not consider the book as a new recipes book for managing credit risk. Both authors already proved their deep knowledges of financial theory and establish once again, through this book, how advanced knowledges of theory combined with significant practical experience make leading researches. As a PhD candidate in Finance, actually writing on credit risk, I definitively adopted this book and higly recommend it for anyone dealing with credit risk issues either through a practical experience or through a theoritical work.

Most Appropriate for Basel II4
If you are Banker/Banking Consultant then this book is the closest you will get to understanding Credit Risk from a Basel II perspective. Its clear & lucid style helped me understand the gamut of techniques used in Credit Risk Measurement. Unfortunately the Book does not get into the details of bulinding models so if your looking for a model building cookbook, look elsewhere.

Must have for risk management5
Yes, this is a must have. Written by S&P auther, it is the definitive guide, no question should be asked. cause they are credit king.

Many details on how to measure risk, quantitative methods in detail. Ideas and industry practice all in great detail. I could imagine some quants will use it as a cook book for their project.

overall, well written for easy read. both good for a glance at credit risk and for in depth learning of industry standard.

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