Modeling Structured Finance Cash Flows with Microsoft Excel

Author: Keith A. Allman
Publisher: John Wiley & Sons
ISBN: 0470042907
Category : Business & Economics
Languages : en
Pages : 230

Book Description
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.

Reverse Engineering Deals on Wall Street with Microsoft Excel

Author: Keith A. Allman
Publisher: John Wiley & Sons
ISBN: 0470472154
Category : Business & Economics
Languages : en
Pages : 276

Book Description
A serious source of information for those looking to reverse engineer business deals It’s clear from the current turbulence on Wall Street that the inner workings of its most complex transactions are poorly understood. Wall Street deals parse risk using intricate legal terminology that is difficult to translate into an analytical model. Reverse Engineering Deals on Wall Street: A Step-By-Step Guide takes readers through a detailed methodology of deconstructing the public deal documentation of a modern Wall Street transaction and applying the deconstructed elements to create a fully dynamic model that can be used for risk and investment analysis. Appropriate for the current market climate, an actual residential mortgage backed security (RMBS) transaction is taken from prospectus to model by the end of the book. Step by step, Allman walks the reader through the reversing process with textual excerpts from the prospectus and discussions on how it directly transfers to a model. Each chapter begins with a discussion of concepts with exact references to an example prospectus, followed by a section called "Model Builder," in which Allman translates the theory into a fully functioning model for the example deal. Also included is valuable VBA code and detailed explanation that shows proper valuation methods including loan level amortization and full trigger modeling. Aside from investment analysis this text can help anyone who wants to keep track of the competition, learn from others public transactions, or set up a system to audit one’s own models. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

Structured Finance Modeling with Object-Oriented VBA

Author: Evan Tick
Publisher: John Wiley & Sons
ISBN: 1118160665
Category : Business & Economics
Languages : en
Pages : 278

Book Description
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.

Modeling Structured Finance Cash Flows with Microsoft Excel

Author: Keith A. Allman
Publisher: John Wiley & Sons
ISBN: 1118044665
Category : Business & Economics
Languages : en
Pages : 230

Building Financial Models with Microsoft Excel

Author: K. Scott Proctor
Publisher: John Wiley and Sons
ISBN: 0470561459
Category : Business & Economics
Languages : en
Pages : 530

Book Description
A proven guide to building financial models from scratch The Second Edition of Building Financial Models with Microsoft Excel + CD-ROM provides beginning and intermediate level computer users with step-by-step instructions on building financial models using Microsoft Excel 2007-the most popular spreadsheet program available. The accompanying CD-ROM contains Excel worksheets that track the course of the book and allow you to build your own financial models. This comprehensive resource also covers important topics such as the concepts of valuation, sensitivity analysis, and contribution margin. Offers accessible guidance on building financial models using Excel 2007 Illustrates how to integrate financial statements such as the balance sheet, income statement, and statement of cash flows Covers the basics of building and using a Capitalization Table Discusses how to best present a financial model Incorporating financial models into business decisions has become an essential element of good business practice, and this book will show you how to excel at this endeavor.

Intermediate Structured Finance Modeling, with Website

Author: William Preinitz
Publisher: John Wiley and Sons
ISBN:
Category : Business & Economics
Languages : en
Pages : 1040

Book Description
Designed as a hands-on guide to help financial analysts with fundamental Excel/VBA knowledge to develop greater skills. Demonstrates how Access, PowerPoint, and Outlook can be integrated into a modelling environment, and focuses on the design and execution of an Excel/VBA user interface. Uses a structured finance model case study to demonstrate product integration. Includes examples of Access and VBA code, Excel menus, UserForms, financial calculation algorithms, and reports. NOTE: Available as an Ebook.

Modeling Structured Finance Cash Flows with Microsoft Excel

Author: Keith A. Allman
Publisher:
ISBN: 9781119197171
Category : Cash flow
Languages : en
Pages : 199

Book Description
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.

Cash CDO Modelling in Excel

Author: Darren Smith
Publisher: John Wiley & Sons
ISBN: 0470971673
Category : Business & Economics
Languages : en
Pages : 357

Book Description
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.

Hands-On Financial Modeling with Microsoft Excel 2019

Author: Shmuel Oluwa
Publisher: Packt Publishing Ltd
ISBN: 1789531632
Category : Computers
Languages : en
Pages : 280

Book Description
Explore the aspects of financial modeling with the help of clear and easy-to-follow instructions and a variety of Excel features, functions, and productivity tips Key FeaturesA non data professionals guide to exploring Excel's financial functions and pivot tablesLearn to prepare various models for income and cash flow statements, and balance sheetsLearn to perform valuations and identify growth drivers with real-world case studiesBook Description Financial modeling is a core skill required by anyone who wants to build a career in finance. Hands-On Financial Modeling with Microsoft Excel 2019 examines various definitions and relates them to the key features of financial modeling with the help of Excel. This book will help you understand financial modeling concepts using Excel, and provides you with an overview of the steps you should follow to build an integrated financial model. You will explore the design principles, functions, and techniques of building models in a practical manner. Starting with the key concepts of Excel, such as formulas and functions, you will learn about referencing frameworks and other advanced components of Excel for building financial models. Later chapters will help you understand your financial projects, build assumptions, and analyze historical data to develop data-driven models and functional growth drivers. The book takes an intuitive approach to model testing, along with best practices and practical use cases. By the end of this book, you will have examined the data from various use cases, and you will have the skills you need to build financial models to extract the information required to make informed business decisions. What you will learnIdentify the growth drivers derived from processing historical data in ExcelUse discounted cash flow (DCF) for efficient investment analysisBuild a financial model by projecting balance sheets, profit, and lossApply a Monte Carlo simulation to derive key assumptions for your financial modelPrepare detailed asset and debt schedule models in ExcelDiscover the latest and advanced features of Excel 2019Calculate profitability ratios using various profit parametersWho this book is for This book is for data professionals, analysts, traders, business owners, and students, who want to implement and develop a high in-demand skill of financial modeling in their finance, analysis, trading, and valuation work. This book will also help individuals that have and don't have any experience in data and stats, to get started with building financial models. The book assumes working knowledge with Excel.

Financial Modeling with Crystal Ball and Excel

Author: John Charnes
Publisher: John Wiley & Sons
ISBN: 1118161130
Category : Business & Economics
Languages : en
Pages : 449

Book Description
Praise for Financial Modeling with Crystal Ball(r) and Excel(r) "Professor Charnes's book drives clarity into applied Monte Carlo analysis using examples and tools relevant to real-world finance. The book will prove useful for analysts of all levels and as a supplement to academic courses in multiple disciplines." -Mark Odermann, Senior Financial Analyst, Microsoft "Think you really know financial modeling? This is a must-have for power Excel users. Professor Charnes shows how to make more realistic models that result in fewer surprises. Every analyst needs this credibility booster." -James Franklin, CEO, Decisioneering, Inc. "This book packs a first-year MBA's worth of financial and business modeling education into a few dozen easy-to-understand examples. Crystal Ball software does the housekeeping, so readers can concentrate on the business decision. A careful reader who works the examples on a computer will master the best general-purpose technology available for working with uncertainty." -Aaron Brown, Executive Director, Morgan Stanley, author of The Poker Face of Wall Street "Using Crystal Ball and Excel, John Charnes takes you step by step, demonstrating a conceptual framework that turns static Excel data and financial models into true risk models. I am astonished by the clarity of the text and the hands-on, step-by-step examples using Crystal Ball and Excel; Professor Charnes is a masterful teacher, and this is an absolute gem of a book for the new generation of analyst." -Brian Watt, Chief Operating Officer, GECC, Inc. "Financial Modeling with Crystal Ball and Excel is a comprehensive, well-written guide to one of the most useful analysis tools available to professional risk managers and quantitative analysts. This is a must-have book for anyone using Crystal Ball, and anyone wanting an overview of basic risk management concepts." -Paul Dietz, Manager, Quantitative Analysis, Westar Energy "John Charnes presents an insightful exploration of techniques for analysis and understanding of risk and uncertainty in business cases. By application of real options theory and Monte Carlo simulation to planning, doors are opened to analysis of what used to be impossible, such as modeling the value today of future project choices." -Bruce Wallace, Nortel