|
![]() |
|||
|
||||
OverviewIn 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. An Introduction to Credit Risk Modeling supplies both the bricks and the mortar of risk management. In a gentle and concise lecture-note style, it introduces the fundamentals of credit risk management, provides a broad treatment of the related modeling theory and methods, and explores their application to credit portfolio securitization, credit risk in a trading portfolio, and credit derivatives risk. The presentation is thorough but refreshingly accessible, foregoing unnecessary technical details yet remaining mathematically precise. Whether you are a risk manager looking for a more quantitative approach to credit risk or you are planning a move from the academic arena to a career in professional credit risk management, An Introduction to Credit Risk Modeling is the book you've been looking for. It will bring you quickly up to speed with information needed to resolve the questions and quandaries encountered in practice. Full Product DetailsAuthor: Christian Bluhm (Munich, Germany) , Ludger Overbeck (University of Giessen, Germany) , Christoph Wagner (Munich, Germany) , et alPublisher: Taylor & Francis Inc Imprint: CRC Press Inc Dimensions: Width: 15.60cm , Height: 2.20cm , Length: 23.40cm Weight: 0.567kg ISBN: 9781584883265ISBN 10: 158488326 Pages: 297 Publication Date: 27 September 2002 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Replaced By: 9781584889922 Format: Hardback Publisher's Status: Out of Stock Indefinitely Availability: Out of stock ![]() Table of ContentsReviewsThis is an outstanding book on the default models that are used internally by financial institutions. This practical book delves into the mathematics, the assumptions and the approximations that practitioners apply to make these models work. - Glyn A Holton of 'Contingency Analysis' Author InformationTab Content 6Author Website:Countries AvailableAll regions |