Modern Pricing of Interest-Rate Derivatives: The LIBOR Market Model and Beyond

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Princeton University Press, 2002 - Business & Economics - 467 pages
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In recent years, interest-rate modeling has developed rapidly in terms of both practice and theory. The academic and practitioners' communities, however, have not always communicated as productively as would have been desirable. As a result, their research programs have often developed with little constructive interference. In this book, Riccardo Rebonato draws on his academic and professional experience, straddling both sides of the divide to bring together and build on what theory and trading have to offer.

Rebonato begins by presenting the conceptual foundations for the application of the LIBOR market model to the pricing of interest-rate derivatives. Next he treats in great detail the calibration of this model to market prices, asking how possible and advisable it is to enforce a simultaneous fitting to several market observables. He does so with an eye not only to mathematical feasibility but also to financial justification, while devoting special scrutiny to the implications of market incompleteness.

Much of the book concerns an original extension of the LIBOR market model, devised to account for implied volatility smiles. This is done by introducing a stochastic-volatility, displaced-diffusion version of the model. The emphasis again is on the financial justification and on the computational feasibility of the proposed solution to the smile problem. This book is must reading for quantitative researchers in financial houses, sophisticated practitioners in the derivatives area, and students of finance.

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About the author (2002)

Riccardo Rebonato is Head of Group Market Risk and Head of the Quantitative Research Centre (QUARC) for the Royal Bank of Scotland Group. He is also a Visiting Lecturer at Oxford University's Mathematical Institute, where he teaches for the MSC/Diploma in Mathematical Finance. His books include "Interest-Rate Option Models" and "Volatility and Correlation in Option Pricing".

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