Über dieses Produkt

Product Identifiers

PublisherFT Press

ISBN-100131962590

ISBN-139780131962590

eBay Product ID (ePID)54371889

Product Key Features

Number of Pages600 Pages

Publication NameModeling Derivatives Applications in Matlab, C++, and Excel

LanguageEnglish

SubjectInvestments & Securities / Derivatives, Programming Languages / C++, Mathematical & Statistical Software, Desktop Applications / Spreadsheets, Corporate Finance / General

Publication Year2006

TypeTextbook

AuthorJustin London

Subject AreaComputers, Business & Economics

FormatHardcover

Dimensions

Item Height1.1 in

Item Weight35.6 Oz

Item Length9.5 in

Item Width7.4 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2006-020109

Dewey Edition22

IllustratedYes

Dewey Decimal332.64/570113

Table Of ContentPreface 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

SynopsisPrebuilt 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. Theentire book utilizesMatlab, C++, and Excel. Users need Matlab installed, Visual C++, and Excel.In addition, some examples using Matlab toolkits are used: Chapter 1makes 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 1Swaps and Fixed Income Instruments 1 Chapter2 Copula Functions 67 Chapter3 Mortgage-Backed Securities 91 Chapter4 Collateralized Debt Obligations 163 Chapter5 Credit Derivatives 223 Chapter6Weather Derivatives 299 Chapter7 Energy and Power Derivatives 333 Chapter8 Pricing Power Derivatives: Theory and Matlab Implementation 407 Chapter9 Commercial Real Estate Asset-Backed Securities 447 Appendix AInterest Rate Tree Modeling in Matlab 473 Appendix BChapter 7 Code 503 References 543 " Index 555" ", Hundreds of financial institutions now market complex derivatives; thousands of financial and technical professionals need to model them accurately and effectively. This volume brings together proven, tested real-time models for each of todays leading modeling platforms to help professionals save months of development time, while improving the accuracy and reliability of the models they create., The derivatives industry is growing at breakneck speed: hundreds of financial institutions now market complex derivatives; thousands of financial and technical professionals need to model them accurately and effectively. Now, for the first time, one book brings together proven, tested real-time models created for each of today's leading modeling platforms: C++, Matlab, and Microsoft Excel. Using this book's models, professionals can save months of development time, while improving the accuracy and reliability of the models they create. 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. Along the way, he presents underlying theory and math in the context of practical implementation, covering everything from Monte Carlo simulation to copula methods and finite differences. London's robust models may be downloaded by the book's purchasers from a secured Web site, and are designed for both ease of use and ease of adaptation., 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, 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

LC Classification NumberHG6024.A3L663 2006