Normal view MARC view ISBD view

Interest Rate Derivatives [electronic resource] : Valuation, Calibration and Sensitivity Analysis / by Ingo Beyna.

By: Beyna, Ingo [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Economics and Mathematical Systems: 666Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XVIII, 209 p. 33 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642349256.Subject(s): Mathematics | Finance | Numerical analysis | Mathematics | Quantitative Finance | Applications of Mathematics | Numerical AnalysisDDC classification: 519 Online resources: Click here to access online
Contents:
Preface -- 1.Literature Review -- 2.The Cheyette Model Class -- 3.Analytical Pricing Formulas -- 4.Calibration -- 5.Monte Carlo Methods -- 6.Characteristic Function Method -- 7.PDE Valuation -- 8.Comparison of Valuation Techniques for Interest Rate Derivatives -- 9.Greeks -- 10.Conclusion.-Appendices: A.Additional Calculus in the Class of Cheyette Models -- B.Mathematical Tools -- C.Market Data -- References -- Index.
In: Springer eBooksSummary: The class of interest rate models introduced by O. Cheyette in 1994 is a subclass of the general HJM framework with a time dependent volatility parameterization. This book addresses the above mentioned class of interest rate models and concentrates on the calibration, valuation and sensitivity analysis in multifactor models. It derives analytical pricing formulas for bonds and caplets and applies several numerical valuation techniques in the class of Cheyette model, i.e. Monte Carlo simulation, characteristic functions and PDE valuation based on sparse grids. Finally it focuses on the sensitivity analysis of Cheyette models and derives Model- and Market Greeks. To the best of our knowledge, this sensitivity analysis of interest rate derivatives in the class of Cheyette models is unique in the literature. Up to now the valuation of interest rate derivatives using PDEs has been restricted to 3 dimensions only, since the computational effort was too great. The author picks up the sparse grid technique, adjusts it slightly and can solve high-dimensional PDEs (four dimensions plus time) accurately in reasonable time. Many topics investigated in this book  are new areas of research and make a significant contribution to the scientific community of financial engineers. They also represent a valuable development for practitioners.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

Preface -- 1.Literature Review -- 2.The Cheyette Model Class -- 3.Analytical Pricing Formulas -- 4.Calibration -- 5.Monte Carlo Methods -- 6.Characteristic Function Method -- 7.PDE Valuation -- 8.Comparison of Valuation Techniques for Interest Rate Derivatives -- 9.Greeks -- 10.Conclusion.-Appendices: A.Additional Calculus in the Class of Cheyette Models -- B.Mathematical Tools -- C.Market Data -- References -- Index.

The class of interest rate models introduced by O. Cheyette in 1994 is a subclass of the general HJM framework with a time dependent volatility parameterization. This book addresses the above mentioned class of interest rate models and concentrates on the calibration, valuation and sensitivity analysis in multifactor models. It derives analytical pricing formulas for bonds and caplets and applies several numerical valuation techniques in the class of Cheyette model, i.e. Monte Carlo simulation, characteristic functions and PDE valuation based on sparse grids. Finally it focuses on the sensitivity analysis of Cheyette models and derives Model- and Market Greeks. To the best of our knowledge, this sensitivity analysis of interest rate derivatives in the class of Cheyette models is unique in the literature. Up to now the valuation of interest rate derivatives using PDEs has been restricted to 3 dimensions only, since the computational effort was too great. The author picks up the sparse grid technique, adjusts it slightly and can solve high-dimensional PDEs (four dimensions plus time) accurately in reasonable time. Many topics investigated in this book  are new areas of research and make a significant contribution to the scientific community of financial engineers. They also represent a valuable development for practitioners.

There are no comments for this item.

Log in to your account to post a comment.

2017 | The Technical University of Kenya Library | +254(020) 2219929, 3341639, 3343672 | library@tukenya.ac.ke | Haile Selassie Avenue