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Interest-Rate Modeling
Interest-Rate Option Models: Understanding, Analysing and Using Models for Exotic Interest-Rate Options (2nd Edition)

Authors: Riccardo Rebonato
Editions: Wiley Series in Financial Engineering
Pages: 545 pages
Date: 1999
 
 
 
Summary
The modelling of exotic interest-rate options is such an important and fast-moving area, that the updating of the extremely successful first edition has been eagerly awaited. This edition re-focuses the assessment of various models presented in the first edition, in light of the new developments of modelling imperfect correlation between financial quantities. It also presents a substantial new chapter devoted to this revolutionary modelling method. In this second edition, readers will also find important new data dealing with the securities market and the probabilistic/stochastic calculus tools. Other changes include: a new chapter on the issues arising in the pricing of several classes of exotic interest-rate instruments; and insights from the BDT and the Brennan and Schwartz approaches which can be combined into a new class of "generalised models". Further details can be found on the links between mean-reversion and calibration for the important classes of models.

About the Author:

Riccardo Rebonato is Professor of Finance at EDHEC Business School and a member of EDHEC-Risk Institute. He was previously Global Head of Rates and FX Research at PIMCO. He also served as Head of Front Office Risk Management and Head of Clients Analytics, Global Head of Market Risk and Global Head of Quantitative Research at Royal Bank of Scotland (RBS). Prior joining RBS, he was Head of Complex IR Derivatives Trading and Head of Head of Derivatives Research at Barclays Capital. Riccardo Rebonato has served on the Board of ISDA (2002-2011), and has been on the Board of GARP since 2001. He was a visiting lecturer in Mathematical Finance at Oxford University (2001-2015).

He is the author of several books, in particular having published extensively on interest rate modelling, risk management, and most notably books on SABR/LIBOR Market Model pricing of interest rate derivatives, as well as on the use of Bayesian nets for stress testing and asset allocation. He has published articles in international academic journals such as Quantitative Finance, the Journal of Derivatives and the Journal of Investment Management, and has made frequent presentations at academic and practitioner conferences.

He holds a doctorate in Nuclear Engineering (Universita' di Milano) and a PhD in Science of Materials (Condensed Matter Physics, Stony Brook University, NY).