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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.
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.
Author: Keith A. Allman Publisher: John Wiley & Sons ISBN: 0470579374 Category : Business & Economics Languages : en Pages : 389
Book Description
A critical guide to corporate valuation modeling Valuation is at the heart of everything that Wall Street does. Every day, millions of transactions to purchase or sell companies take place based on prices created by the activities of all market participants. In this book, author Keith Allman provides you with a core model to value companies. Corporate Valuation Modeling takes you step-by-step through the process of creating a powerful corporate valuation model. Each chapter skillfully discusses the theory of the concept, followed by Model Builder instructions that inform you of every step necessary to create the template model. Many chapters also include a validation section that shows techniques and implementations that you can employ to make sure the model is working properly. Walks you through the full process of constructing a fully dynamic corporate valuation model A Tool Box section at the end of each chapter assists readers who may be less skilled in Excel techniques and functions Complete with a companion CD-ROM that contains constructed models, this book is an essential guide to understanding the intricacies of corporate valuation modeling. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Author: Stephanie D. H. Evergreen Publisher: SAGE Publications ISBN: 1544350872 Category : Social Science Languages : en Pages : 494
Book Description
NOW IN FULL COLOR! Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate their data findings. This comprehensive how-to guide functions as a set of blueprints—supported by both research and the author’s extensive experience with clients in industries all over the world—for conveying data in an impactful way. Delivered in Evergreen’s humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for building the chosen graph in Excel. Now in full color with new examples throughout, the Second Edition includes a revamped chapter on qualitative data, nine new quantitative graph types, new shortcuts in Excel, and an entirely new chapter on Sharing Your Data With the World, which provides advice on using dashboards. New from Stephanie Evergreen! The Data Visualization Sketchbook provides advice on getting started with sketching and offers tips, guidance, and completed sample sketches for a number of reporting formats. Bundle Effective Data Visualization, 2e, and The Data Visualization Sketchbook, using ISBN 978-1-5443-7178-8!
Author: Freeman Publications Publisher: ISBN: 9781838267339 Category : Business & Economics Languages : en Pages : 170
Book Description
Stop settling for ever-decreasing dividend yields and bank CDs which pay less than 1% and start making your investments work for you again... If you're worried about the current market uncertainty, covered calls are your antidote to chaos. You can use them to generate safe returns, no matter what happens to your stock. It's like generating rental income on stocks you already own, even if those stocks don't already pay dividends. Which is why with smart covered call writing, you can double your monthly cash flow. Making it the perfect income strategy, because you can use covered calls to create instant cash, with premiums paid directly into your brokerage account. So you can use this smart, safe strategy to generate "Synthetic Dividends" on stocks that you already own. Covered calls aren't risky... when used correctly they actually decrease your risk... and even the most conservative investors can benefit from adding covered call writing to their investment strategy. Even if you know nothing about options, this book will get you right up to speed. Here is just a fraction of what you'll discover: - The 6 criteria we use to select the best stocks to write covered calls on - Page 96 - Why you shouldn't write covered calls in an IRA. Many investors make this mistake, but learn why using a regular account will actually save on your tax bill - Page 54 - How to use covered calls to lower the purchase price of stocks you already own - 3 rules for adjusting your covered call - Page 129 - How to find the best covered call stocks for free. Stock scanning services will charge you $99/month for this information, but our approach costs nothing and lists the exact same companies - Page 100 - How to get started with covered calls if you only have a small account. This is perfect if you want the benefits but don't have $5,000 or more to invest - Page 133 Plus, inside the book you get free access to a 7 part video course covering all aspects of profitable investing So even if you've never used options before, the book walks you through everything step by step. You'll find everything explained in plain English, free from technical jargon. Even if you get stuck, you can always send us an email (provided inside the book) or reach out in our private investing community on social media - we're always happy to help with any questions you might have. And remember... bank CD's will only pay you between 0% and 1%... the dividend yield on the S&P 500 is around 2%... and 5 to 10 year municipal bonds will only pay between 2% and 3%. But if you use what's inside this book, you could have the opportunity to get much more than that. For instance... if you put together a portfolio of three of the best covered call stocks... you could see an average yield of 15% per year... just from your covered call income. All this from your regular brokerage account, just as easily as you can buy stock. Because if you know how to buy stocks, you can use covered calls. And when you receive just a single premium from one of these covered calls (which is paid into your account instantly) it will cover the cost of this book 10x over. To get your copy right now, just scroll up and click "add to cart"
Author: James P. O'Shaughnessy Publisher: McGraw Hill Professional ISBN: 0071469613 Category : Business & Economics Languages : en Pages : 366
Book Description
"A major contribution . . . on the behavior of common stocks in the United States." --Financial Analysts' Journal The consistently bestselling What Works on Wall Street explores the investment strategies that have provided the best returns over the past 50 years--and which are the top performers today. The third edition of this BusinessWeek and New York Times bestseller contains more than 50 percent new material and is designed to help you reshape your investment strategies for both the postbubble market and the dramatically changed political landscape. Packed with all-new charts, data, tables, and analyses, this updated classic allows you to directly compare popular stockpicking strategies and their results--creating a more comprehensive understanding of the intricate and often confusing investment process. Providing fresh insights into time-tested strategies, it examines: Value versus growth strategies P/E ratios versus price-to-sales Small-cap investing, seasonality, and more
Author: Richard R. Lindsey Publisher: John Wiley & Sons ISBN: 1118044754 Category : Business & Economics Languages : en Pages : 406
Book Description
Praise for How I Became a Quant "Led by two top-notch quants, Richard R. Lindsey and Barry Schachter, How I Became a Quant details the quirky world of quantitative analysis through stories told by some of today's most successful quants. For anyone who might have thought otherwise, there are engaging personalities behind all that number crunching!" --Ira Kawaller, Kawaller & Co. and the Kawaller Fund "A fun and fascinating read. This book tells the story of how academics, physicists, mathematicians, and other scientists became professional investors managing billions." --David A. Krell, President and CEO, International Securities Exchange "How I Became a Quant should be must reading for all students with a quantitative aptitude. It provides fascinating examples of the dynamic career opportunities potentially open to anyone with the skills and passion for quantitative analysis." --Roy D. Henriksson, Chief Investment Officer, Advanced Portfolio Management "Quants"--those who design and implement mathematical models for the pricing of derivatives, assessment of risk, or prediction of market movements--are the backbone of today's investment industry. As the greater volatility of current financial markets has driven investors to seek shelter from increasing uncertainty, the quant revolution has given people the opportunity to avoid unwanted financial risk by literally trading it away, or more specifically, paying someone else to take on the unwanted risk. How I Became a Quant reveals the faces behind the quant revolution, offering you?the?chance to learn firsthand what it's like to be a?quant today. In this fascinating collection of Wall Street war stories, more than two dozen quants detail their roots, roles, and contributions, explaining what they do and how they do it, as well as outlining the sometimes unexpected paths they have followed from the halls of academia to the front lines of an investment revolution.
Author: Keith A. Allman Publisher: John Wiley & Sons ISBN: 1118137221 Category : Business & Economics Languages : en Pages : 220
Book Description
"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: Keith A. Allman
Author: Keith A. Allman
Author: 
Author: Sally Tagholm
Author: Keith A. Allman
Author: Arthur James Wells
Author: Stephanie D. H. Evergreen
Author: Freeman Publications
Author: James P. O'Shaughnessy
Author: Richard R. Lindsey
Author: Keith A. Allman