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.
The entire book utilizes Matlab, C++, and Excel. Users need Matlab installed, Visual C++, and Excel. Inaddition, 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.
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