Quantitative Credit Portfolio Management: Practical Innovations for Measuring and Controlling Liquidity, Spread, and Issuer Concentration Risk

by Arik Ben Dor, Lev Dynkin, Jay Hyman

An innovative approach to post-crash credit portfolio management Credit portfolio managers traditionally rely on fundamental research for decisions on issuer selection and sector rotation. Quantitative researchers tend to use more mathematical techniques for pricing models and to quantify credit risk and relative value. The information found here bridges these two approaches. In an intuitive and readable style, this book illustrates how quantitative techniques can help address specific questions facing today's credit managers and risk analysts. A targeted volume in the area of credit, this reliable resource contains some of the most recent and original research in this field, which addresses among other things important questions raised by the credit crisis of 2008-2009. Divided into two comprehensive parts, Quantitative Credit Portfolio Management offers essential insights into understanding the risks of corporate bonds―spread, liquidity, and Treasury yield curve risk―as well as managing corporate bond portfolios. Credit portfolio management continues to evolve, but with this book as your guide, you can gain a solid understanding of how to manage complex portfolios under dynamic events.

Genres: Finance

416 pages, Hardcover

First published November 8, 2011