Reverse Engineering Deals on Wall Street with Microsoft Excel (eBook, PDF) - Allman, Keith A.
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A serious source of information for those looking to reverseengineer business deals It's clear from the current turbulence on Wall Street thatthe inner workings of its most complex transactions are poorlyunderstood. Wall Street deals parse risk using intricate legalterminology that is difficult to translate into an analyticalmodel. Reverse Engineering Deals on Wall Street: A Step-By-StepGuide takes readers through a detailed methodology ofdeconstructing the public deal documentation of a modern WallStreet transaction and applying the deconstructed elements tocreate a fully dynamic model that…mehr

Produktbeschreibung
A serious source of information for those looking to reverseengineer business deals It's clear from the current turbulence on Wall Street thatthe inner workings of its most complex transactions are poorlyunderstood. Wall Street deals parse risk using intricate legalterminology that is difficult to translate into an analyticalmodel. Reverse Engineering Deals on Wall Street: A Step-By-StepGuide takes readers through a detailed methodology ofdeconstructing the public deal documentation of a modern WallStreet transaction and applying the deconstructed elements tocreate a fully dynamic model that can be used for risk andinvestment analysis. Appropriate for the current market climate, an actualresidential mortgage backed security (RMBS) transaction is takenfrom prospectus to model by the end of the book. Step by step,Allman walks the reader through the reversing process with textualexcerpts from the prospectus and discussions on how it directlytransfers to a model. Each chapter begins with a discussion ofconcepts with exact references to an example prospectus, followedby a section called "Model Builder," in which Allman translates thetheory into a fully functioning model for the example deal. Alsoincluded is valuable VBA code and detailed explanation that showsproper valuation methods including loan level amortization and fulltrigger modeling. Aside from investment analysis this text can help anyone whowants to keep track of the competition, learn from others publictransactions, or set up a system to audit one's ownmodels. Note: CD-ROM/DVD and other supplementary materials arenot included as part of eBook file.

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  • Produktdetails
  • Verlag: John Wiley & Sons
  • Seitenzahl: 224
  • Erscheinungstermin: 17.11.2008
  • Englisch
  • ISBN-13: 9780470421031
  • Artikelnr.: 37292155
Autorenporträt
Keith A. Allman is a capital markets professional with a specialization in analytics and modeling. He is currently the principal trainer and founder of Enstruct, a quantitative finance training company, as well as a Managing Director with NSM Capital Management. Prior to this, Allman was a vice president at Citigroup's Global Corporate and Investment Bank. He has also worked for MBIA Corporation in their Quantitative Analytics division. Allman is the author of Modeling Structured Finance Cash Flows with Microsoft Excel, which is published by Wiley.
Inhaltsangabe
Preface. Acknowledgements. About the Author. Chapter 1. Introduction. The Transaction. The Documents. The Process. How This Book Works. Chapter 2. Determining Dates and Setting Up Times. Differences In Timing Approaches. A First Look at the Prospectus. Important Dates. Transforming Dates and Timing from Words to a Model. Model Builder 2.1: Reversing Dates and Timing. Conclusion of Dates and Timing. Chapter 3. Creating Asset Cash Flow From Prospectus Data. It's All in the Prospectus Supplement. The Basics of Amortization. Performance and the Prospectus Supplement. Delinquency. Loss. Prepayment. Recovery. Creating Cash Flow. A Complex Implementation. Model Builder 3.1: Entering in the Raw Asset Information. Model Builder 3.2: Entering in the Default and Prepayment Assumptions. Model Builder 3.3: Interest Rates and Additional Asset Amortization Inputs. Model Builder 3.4: Introducing VBA and Moving Data In and Out of the Model. Model Builder 3.5: Loading Loan Performance Assumptions into VBA. Model Builder 3.6: Global Functions. Model Builder 3.7: Loan-Level Asset Amortization. Chapter 4. Setting Up Liability Assumptions
Paying Fees
and Distributing Interest. Identifying the Offered Securities. Model Builder 4.1: Transferring the Liability Information to a Consolidated Sheet. The Liability Waterfall: A System of Priority. Model Builder 4.2: Starting the Waterfall with Fees. Interest: No Financing is Free. Model Builder 4.3: Continuing the Waterfall with Interest Paid to the Certificate Holders. More on Waterfalls and Wall Street's Risk Parsing. Model Builder 4.4: Mezzanine Interest. Continuing the Waterfall: It Only Gets More Complicated. Chapter 5. Principal Repayment and the Shifting Nature of a Wall Street Deal. Model Builder 5.1: The Deal State and Senior Principal. Mezzanine Principal Returns. Model Builder 5.2: The Mezzanine Certificates' Priority of Payments. Number Games or Risk Parsing? Chapter 6. Credit Enhancement Mechanisms to Mitigate Loss. Model Builder 6.1: Excess Spread
Overcollateralization
and Credit Enhancement. Chapter 7. Auditing the Model Model Builder 7.1. Chapter 8. Conclusion of Example Transaction and Final Thoughts on Reverse Engineering. Mortgage Insurance and Servicer Advances. Reverse Engineering in the Current and Future Market. Appendix I. Automatic Range Naming. About the CD. Index.