UK stocked, available immediately. Hardcover, published by John Wiley & Sons in 2005. A very good copy throughout, in a similar dustjacket. The CD is included.

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Bibliographic Details

Title: Interest Rate Risk Modeling: The Fixed Income Valuation Course (Wiley Finance)
Publisher: Wiley
Publication Date: 2005
Language: English
ISBN 10: 0471427241
ISBN 13: 9780471427247
Binding: Very Good
Dust Jacket Condition: Dust Jacket Included

About this title

Synopsis

The definitive guide to fixed income valuation and risk analysis

The Trilogy in Fixed Income Valuation and Risk Analysis comprehensively covers the most definitive work on interest rate risk, term structure analysis, and credit risk. The first book on interest rate risk modeling examines virtually every well-known IRR model used for pricing and risk analysis of various fixed income securities and their derivatives. The companion CD-ROM contain numerous formulas and programming tools that allow readers to better model risk and value fixed income securities. This comprehensive resource provides readers with the hands-on information and software needed to succeed in this financial arena.

About the Author

Sanjay K. Nawalkha, PhD, is Associate Professor of Finance at the University of Massachusetts Amherst, where he teaches graduate courses in finance theory and fixed income. He has published extensively in academic and practitioner journals, especially in the areas of fixed income and asset pricing. He is the coeditor of the book Interest Rate Risk Measurement and Management, published by Institutional Investor. Dr. Nawalkha is also the President and founder of Nawalkha and Associates.

Gloria M. Soto, PhD, is Professor of Applied Economics and Finance at the University of Murcia, Spain. Dr. Soto has published extensively in both Spanish and international journals in finance, especially in the areas of interest rate risk management and related fixed income topics. She is also a partner at Nawalkha and Associates.

Natalia A. Beliaeva holds an MS in computer science (artificial intelligence) and expects to receive her PhD in finance from the University of Massachusetts Amherst in 2005. Ms. Beliaeva's expertise is in the area of applied numerical methods for pricing fixed income derivatives.

"About this title" may belong to another edition of this title.

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