Modeling Derivatives Applications in Matlab, C++, And Excel

Prebuilt Code for Modeling and Pricing Todays 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 todays 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 books 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 555London, Justin is the author of 'Modeling Derivatives Applications in Matlab, C++, And Excel ', published 2006 under ISBN 9780131962590 and ISBN 0131962590.