Cash Cdo Modelling In Excel

Author : Darren Smith
Publisher : John Wiley & Sons
ISBN 13 : 0470971673
Total Pages : 357 pages
Book Rating : 4.73/5 ( download)

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Download or read book Cash CDO Modelling in Excel written by Darren Smith and published by John Wiley & Sons. This book was released on 2011-12-07 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introduction to the modelling of cash collateralised debt obligations (“CDOs”). It is intended that the reader have a basic understanding of CDOs and a basic working knowledge of Microsoft Office Excel. There will be written explanations of concepts along with understandable mathematical explanations and examples provided in Excel.

Author : Keith A. Allman
Publisher : John Wiley & Sons
ISBN 13 : 1118044665
Total Pages : 230 pages
Book Rating : 4.67/5 ( download)

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Download or read book Modeling Structured Finance Cash Flows with Microsoft Excel written by Keith A. Allman and published by John Wiley & Sons. This book was released on 2010-12-28 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to building fully operational financial cash flow models for structured finance transactions Structured finance and securitization deals are becoming more commonplace on Wall Street. Up until now, however, market participants have had to create their own models to analyze these deals, and new entrants have had to learn as they go. Modeling Structured Finance Cash Flows with Microsoft Excel provides readers with the information they need to build a cash flow model for structured finance and securitization deals. Financial professional Keith Allman explains individual functions and formulas, while also explaining the theory behind the spreadsheets. Each chapter begins with a discussion of theory, followed by a section called "Model Builder," in which Allman translates the theory into functions and formulas. In addition, the companion website features all of the modeling exercises, as well as a final version of the model that is created in the text. Note: Companion website and other supplementary materials are not included as part of eBook file.

Author : Keith A. Allman
Publisher : John Wiley & Sons
ISBN 13 : 1118137221
Total Pages : 220 pages
Book Rating : 4.22/5 ( download)

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Download or read book Financial Simulation Modeling in Excel written by Keith A. Allman and published by John Wiley & Sons. This book was released on 2011-09-02 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: "I've worked with simulation in business for over 20 years, and Allman really nails it with this book. I admit that I own his previous book on structured finance cash flows, but I was surprised by what I found in here. He addresses the fundamental questions of how decision makers react to simulations and his read was very much in accordance with what I've experienced myself. When it came to the nuts and bolts of describing the different types of simulation analysis the book becomes incredibly detailed. There is working code and models for a fantastic array of the most common simulation problems. If you're so inclined, the book very carefully steps through the tricky math needed to really understand the theory behind stochastic modeling in finance. If you're preparing models that include any kind of randomization or stochastic modeling component, this book is a must-read, a tremendous value and time-saver." — David Brode of The Brode Group A practical guide to understanding and implementing financial simulation modeling As simulation techniques become more popular among the financial community and a variety of sub-industries, a thorough understanding of theory and implementation is critical for practitioners involved in portfolio management, risk management, pricing, and capital budgeting. Financial Simulation Modeling in Excel contains the information you need to make the most informed decisions possible in your professional endeavors. Financial Simulation Modeling in Excel contains a practical, hands-on approach to learning complex financial simulation methodologies using Excel and VBA as a medium. Crafted in an easy to understand format, this book is suitable for anyone with a basic understanding of finance and Excel. Filled with in-depth insights and expert advice, each chapter takes you through the theory behind a simulation topic and the implementation of that same topic in Excel/VBA in a step-by-step manner. Organized in an easy-to-follow fashion, this guide effectively walks you through the process of creating and implementing risk models in Excel A companion website contains all the Excel models risk experts and quantitative analysts need to practice and confirm their results as they progress Keith Allman is the author of other successful modeling books, including Corporate Valuation Modeling and Modeling Structured Finance Cash Flows with Microsoft Excel Created for those with some background in finance and experience in Excel, this reliable resource shows you how to effectively perform sound financial simulation modeling, even if you've yet to do extensive modeling up to this point in your professional or academic career.

Author : Gunter Meissner
Publisher : John Wiley & Sons
ISBN 13 : 1118796896
Total Pages : 268 pages
Book Rating : 4.94/5 ( download)

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Download or read book Correlation Risk Modeling and Management written by Gunter Meissner and published by John Wiley & Sons. This book was released on 2013-12-19 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: A thorough guide to correlation risk and its growing importance in global financial markets Ideal for anyone studying for CFA, PRMIA, CAIA, or other certifications, Correlation Risk Modeling and Management is the first rigorous guide to the topic of correlation risk. A relatively overlooked type of risk until it caused major unexpected losses during the financial crisis of 2007 through 2009, correlation risk has become a major focus of the risk management departments in major financial institutions, particularly since Basel III specifically addressed correlation risk with new regulations. This offers a rigorous explanation of the topic, revealing new and updated approaches to modelling and risk managing correlation risk. Offers comprehensive coverage of a topic of increasing importance in the financial world Includes the Basel III correlation framework Features interactive models in Excel/VBA, an accompanying website with further materials, and problems and questions at the end of each chapter

Author : United States. Congress. Senate. Committee on Homeland Security and Governmental Affairs. Permanent Subcommittee on Investigations
Publisher :
ISBN 13 :
Total Pages : 1852 pages
Book Rating : 4.24/5 ( download)

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Download or read book Wall Street and the Financial Crisis written by United States. Congress. Senate. Committee on Homeland Security and Governmental Affairs. Permanent Subcommittee on Investigations and published by . This book was released on 2011 with total page 1852 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Evan Tick
Publisher : John Wiley & Sons
ISBN 13 : 1118160665
Total Pages : 278 pages
Book Rating : 4.64/5 ( download)

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Download or read book Structured Finance Modeling with Object-Oriented VBA written by Evan Tick and published by John Wiley & Sons. This book was released on 2011-07-28 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed look at how object-oriented VBA should be used to model complex financial structures This guide helps readers overcome the difficult task of modeling complex financial structures and bridges the gap between professional C++/Java programmers writing production models and front-office analysts building Excel spreadsheet models. It reveals how to model financial structures using object-oriented VBA in an Excel environment, allowing desk-based analysts to quickly produce flexible and robust models. Filled with in-depth insight and expert advice, it skillfully illustrates the art of object-oriented programming for the explicit purpose of modeling structured products. Residential mortgage securitization is used as a unifying example throughout the text.

Author : Keith A. Allman
Publisher :
ISBN 13 : 9781119197171
Total Pages : 199 pages
Book Rating : 4.71/5 ( download)

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Download or read book Modeling Structured Finance Cash Flows with Microsoft Excel written by Keith A. Allman and published by . This book was released on 2007 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to building fully operational financial cash flow models for structured finance transactions. Structured finance and securitization deals are becoming more commonplace on Wall Street. Up until now, however, market participants have had to create their own models to analyze these deals, and new entrants have had to learn as they go.

Author : United States. Congress. Senate. Committee on Homeland Security and Governmental Affairs. Permanent Subcommittee on Investigations
Publisher :
ISBN 13 :
Total Pages : 1856 pages
Book Rating : 4.69/5 ( download)

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Download or read book Wall Street and the Financial Crisis: pt. 1-4. Anatomy of a Financial Collapse, April 13, 2011. Report and Appendix ( 4 v.) written by United States. Congress. Senate. Committee on Homeland Security and Governmental Affairs. Permanent Subcommittee on Investigations and published by . This book was released on 2010 with total page 1856 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Eric Soubeiga
Publisher : McGraw Hill Professional
ISBN 13 : 0071808515
Total Pages : 320 pages
Book Rating : 4.14/5 ( download)

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Download or read book Mastering Financial Modeling: A Professional’s Guide to Building Financial Models in Excel written by Eric Soubeiga and published by McGraw Hill Professional. This book was released on 2013-07-26 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: All the precision of financial modeling--and none of the complexity Evidence-based decision making is only as good as the external evidence on which it is based. Financial models uncover potential risks on a company’s balance sheet, but the complexity of these instruments has limited their effectiveness. Now, Mastering Financial Modeling offers a simplified method for building the fast and accurate financial models serious evidencebased decision makers need. What sets this practical guide apart is its "learning-on-the-job" approach. Unlike other books that teach modeling in a vacuum, this superior method uses a diverse collection of case studies to convey each step of the building process. "Learning on the job" connects the dots between the proper Excel formulas and functions and the real-world situations where you want to use them. By learning through association, you can absorb the information quickly and have it ready to use when you need it. The book starts right off on building models--from creating a standalone cash flow model through integrating it with an income statement and balance sheet. Along the way, you will master the skill set you need to build advanced financial models. With only a basic knowledge of accounting and finance, individual investors and financial professionals alike can: Create a core model and customize it for companies in most industries Understand every working component of a financial model and what each one tells you about a company Format cells and sheets in Excel for easily repeatable modeling Written with the practitioner in mind, Mastering Financial Modeling shows you how to ensure your model is ready for real-world application by safeguarding it against modeling errors. It covers a full array of Excel's builtin auditing and testing tools and illustrates how to build customized error-checking tools of your own to catch the inaccuracies that typically fall through the cracks. Get the most out of your data with Mastering Financial Modeling. Mastering Financial Modeling brings the power of financial models down to earth and puts it in the hands of investors, bankers, and private equity professionals who don't have a passion for crunching numbers. Nowhere else can you get step-by-step instruction on building these valuable tools from an elite World Bank investment officer. Starting from the ground up, Eric Soubeiga shows you how to interpret and build financial models in Microsoft Excel that will accurately assess any company’s valuation and profit potential. Even if you have unsuccessfully tried financial modeling in the past, this book will reach you because it associates every lesson to the business world you work in daily. Chapter by chapter, you will master financial modeling, and in the end, you will: Command authority over building every aspect of a financial model Be capable of explaining the accounting and finance concepts behind the mechanics of modeling Confidently determine a company’s ability to generate cash flows for its capital investors with discounted cash flow (DCF) modeling Execute powerful spreadsheet calculations in Excel Most importantly, as a decision maker, the insight you bring to the table through your sophisticated understanding and application of financial modeling will benefit every stakeholder. See what leading professionals around the world already know--Mastering Financial Modeling is the most comprehensive guide on the market for designing, building, and implementing valuation projection models. What it does from there is up to you.

Author : Justin London
Publisher : Financial Times/Prentice Hall
ISBN 13 :
Total Pages : 608 pages
Book Rating : 4.86/5 ( download)

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Download or read book Modeling Derivatives Applications in Matlab, C++, and Excel written by Justin London and published by Financial Times/Prentice Hall. This book was released on 2007 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.