Register your product to gain access to bonus material or receive a coupon.
Modeling Derivatives Applications in Matlab, C++, and Excel (paperback)
- By Justin London
- Published Dec 18, 2006 by Pearson FT Press.
Book
- Sorry, this book is no longer in print.
About
Features
The first book for professionals with pre-built, fully tested code needed to start modeling and pricing complex derivatives.
- Provides ready to use derivatives pricing tools that cannot be found in any other book.
- Includes models for the fastest-growing areas, including weather, energy, and power derivatives, CDOs, and credit derivatives.
- The entire book utilizes Matlab, C++, and Excel. Users need Matlab installed, Visual C++, and Excel. In addition, some examples using Matlab toolkits are used: Chapter 1 makes use of the Fixed-Income Toolkit. Appendix A makes use of the Financial Derivatives Toolkit and Matlab Excel Link. These toolkits do not come with the book, but can be obtained from Mathworks.
Description
- Copyright 2007
- Pages: 600
- Edition: 1st
- Book
- ISBN-10: 0-13-431904-4
- ISBN-13: 978-0-13-431904-9
Prebuilt Code for Modeling and Pricing Today’s Complex Derivatives
Justin London shows how to implement pricing algorithms for a wide variety of complex derivatives, including rapidly emerging instruments covered in no other book. Utilizing actual Bloomberg data, London covers credit derivatives, CDOs, mortgage-backed securities, asset-backed securities, fixed-income securities, and today’s increasingly important weather, power, and energy derivatives. His robust models are designed for both ease of use and ease of adaptation, and may be downloaded by the book’s purchasers from a secured Web site.
Modeling Derivatives Applications in Matlab, C++, and Excel will be indispensable to sell-side professionals who model derivatives; buy-side professionals who must understand the derivatives offered to them; experienced quants; developers at Wall Street firms; and any financial engineering practitioner or student entering the derivatives field for the first time.
- Presents broader coverage and more models than any competitive book Covers everything from swaps to interest rate models, mortgage- and asset-backed securities to the HJM model
- Includes code for all three leading derivatives development platforms The only book to present models for Matlab, C++, and Excel
- Addresses the fastest-growing areas of derivatives development Includes models for weather, power, and energy derivatives, CDOs, and more
- Contains extensive real-world examples.
The entire book utilizes Matlab, C++, and Excel. Users need Matlab installed, Visual C++, and Excel. In addition, some examples using Matlab toolkits are used: Chapter 1 makes use of the Fixed-Income Toolkit. Appendix A makes use of the Financial Derivatives Toolkit and Matlab Excel Link. These toolkits do not come with the book, but can be obtained from Mathworks.
Sample Content
Table of Contents
Preface xv
Acknowledgments xix
About the Author xxi
Chapter 1 Swaps and Fixed Income Instruments 1
Chapter 2 Copula Functions 67
Chapter 3 Mortgage-Backed Securities 91
Chapter 4 Collateralized Debt Obligations 163
Chapter 5 Credit Derivatives 223
Chapter 6 Weather Derivatives 299
Chapter 7 Energy and Power Derivatives 333
Chapter 8 Pricing Power Derivatives: Theory and Matlab Implementation 407
Chapter 9 Commercial Real Estate Asset-Backed Securities 447
Appendix A Interest Rate Tree Modeling in Matlab 473
Appendix B Code 503
References 543
Index 555