[request_ebook] Modeling Derivatives Applications in Matlab, C , and Excel


Author: Justin London

Date: December 28, 2006

ISBN: 978-0131962590

Pages: 600

Publisher: FT Press

Category: Business

Tag: Economics and Finances


Posted on 2008-02-13, updated at 2010-10-08, by lpgopinath.

Description

    Book Cover: [request_ebook] Modeling Derivatives Applications in Matlab, C  , and Excel
  • Author: Justin London
  • Publisher: FT Press
  • Publish Date: December 28, 2006
  • Pages: 600
From the Back Cover

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.

 

Downloadable models available ONLY to purchasers of this book.

Purchasers receive a unique access code enabling secure access to downloadable, prebuilt code and templates for Matlab, C++, and Excel.

 

                       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     Chapter 7 Code  503

                        References  543 

                        Index   555 

 



About the Author

Justin London has developed fixed-income and equity models for trading companies and his own quantitative consulting firm. He has analyzed and managed bank corporate loan portfolios using credit derivatives in the Asset Portfolio Group of a large bank in Chicago, Illinois, as well as advised several banks in their implementation of derivative trading systems. London is the founder of a global online trading and financial technology company. A graduate of the University of Michigan, London holds a B.A. in economics and mathematics, an M.A. in applied economics, and an M.S. in financial engineering, computer science, and mathematics, respectively.


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