Mehr lesen
Informationen zum Autor NARASIMHAN JEGADEESH, PhD, is the Harry A. Brandt Distinguished Professor of Finance at the University of Illinois at Urbana-Champaign. He was formerly a member of the faculty at the University of California at Los Angeles and he received his PhD in finance from Columbia University. Professor Jegadeesh has been published extensively in the Journal of Finance, the Journal of Financial Economics, and other leading financial journals. He serves on the editorial board of the Journal of Securities Market. He is also an investment consultant for the hedge funds managed by Arbitrade Holdings LLC. BRUCE TUCKMAN, PhD, is Managing Director and Global Head of Relative Value Modeling at Credit Suisse First Boston. After receiving his doctorate in economics from MIT, he became a professor of finance at New York University's Stern School of Business and a visiting professor at UCLA's Anderson School. He began his Wall Street career at Salomon Brothers' Fixed Income Proprietary Trading Group. Klappentext In response to intense competition and higher market volatility, players in the fixed-income market now demand increasingly sophisticated valuation tools. Until recently, a basic understanding of duration and convexity or the ability to use simple, one-factor term structure models was enough to distinguish one from the crowd. Now, this knowledge is practically de rigueur. Cutting-edge players today need a deep understanding of how convexity and risk premia affect bond yields and returns; of how multi-factor term structure models can improve hedging performance; of how to improve the accuracy and efficiency of Monte Carlo analysis, etc.This book brings together contributions from twenty-four finance professionals and academics from top investment banks, consulting firms, and universities. Going well beyond the basics, Advanced Fixed-Income Valuation Tools brings the reader some of the most advanced thinking in the field.Topics covered in this book include:* The effects of convexity and risk premia on bond yields, forward and future rates, and expected returns* The similarities and differences among term structure models* Multi-factor models and models with jumps* Modeling credit risk* Prepayment modeling and MBS pricing* The Muni-Treasury spread* Foreign currency options* Efficient numerical valuation techniquesAdvanced Fixed-Income Valuation Tools arms the reader with the knowledge and tools needed to succeed in the competitive and rapidly evolving field of quantitative fixed-income investing and trading."This is a thoughtfully organized compendium of a series of high-quality papers thatshould serve as an excellent resource describing cutting-edge research. Drs. Jegadeesh and Tuckman have put together a collection of first-rate authors considering timelyand useful areas of some of the frontiers of fixed-income valuation." -H. Gifford Fong President, Gifford Fong Associates President Editor, Financial Analysts Journal"This book has an excellent mix of well-written survey papers and cutting-edge research on fixed-income modeling techniques. The strong practical flavor of the papers makes this collection invaluable in understanding this dynamic area of research."-Francis Longstaff Professor of Finance, Anderson School at UCLA"Jegadeesh and Tuckman have done an excellent job of selecting papers that bridge the gap between the new developments in fixed-income models and the practitioners' needs. This collection of papers goes beyond the treatment of fixed-income analytics found in other textbooks. It will be useful for interest rate modelers and fixed-income specialists as well as for academics looking for a summary of the recent advances in the field."Yacine Ait-SahaliaProfessor, Princeton University and Director, Bendheim Center in Finance"This excellent collection of articles ushers the reader into the forefront of advanced fixed-income valuation theory. Researchers will...
Inhaltsverzeichnis
ADVANCED FIXED-INCOME MATHEMATICS.
Fixed-Income Subtleties and the Pricing of Long Bonds (N. Pearson).
Convexity Bias and the Yield Curve (A. Ilmanen).
Futures vs. Forward Prices: Implications for Swap Pricing and Derivatives Valuation (M. Grinblatt & N. Jegadeesh).
TERM STRUCTURE MODELING.
Discrete-Time Models of Bond Pricing (D. Backus, et al.).
Stochastic Mean Models of the Term Structure of Interest Rates (P. Balduzzi, et al.).
Interest Rate Modeling with Jump-Diffusion Processes (S. Das).
OTHER RISK FACTORS.
Some Elements of Rating-Based Credit Risk Modeling (D. Lando).
Anatomy of Prepayments: The Salomon Brothers Prepayment Model (L. Hayre & A. Rajan).
The Pricing and Hedging of Mortgage-Backed Securities: A Multivariate Density Estimation Approach (J. Boudoukh, et al.).
The Muni Puzzle: Explanations and Implications for Investors (J. Chalmers).
Models of Currency Option Pricing (G. Bakshi & Z. Chen).
NUMERICAL VALUATION TECHNIQUES.
Exploring the Relation between Discrete-Time Jump Processes and the Finite Difference Method (S. Heston & G. Zhou).
Monte Carlo Methods for the Valuation of Interest Rate Securities (L. Andersen & P. Boyle).
Index.
