Author: Simon Benninga
Publisher: MIT Press
ISBN: 0262368242
Category : Business & Economics
Languages : en
Pages : 1049
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Book Description
A substantially updated new edition of the essential text on financial modeling, with revised material, new data, and implementations shown in Excel, R, and Python. Financial Modeling has become the gold-standard text in its field, an essential guide for students, researchers, and practitioners that provides the computational tools needed for modeling finance fundamentals. This fifth edition has been substantially updated but maintains the straightforward, hands-on approach, with an optimal mix of explanation and implementation, that made the previous editions so popular. Using detailed Excel spreadsheets, it explains basic and advanced models in the areas of corporate finance, portfolio management, options, and bonds. This new edition offers revised material on valuation, second-order and third-order Greeks for options, value at risk (VaR), Monte Carlo methods, and implementation in R. The examples and implementation use up-to-date and relevant data. Parts I to V cover corporate finance topics, bond and yield curve models, portfolio theory, options and derivatives, and Monte Carlo methods and their implementation in finance. Parts VI and VII treat technical topics, with part VI covering Excel and R issues and part VII (now on the book’s auxiliary website) covering Excel’s programming language, Visual Basic for Applications (VBA), and Python implementations. Knowledge of technical chapters on VBA and R is not necessary for understanding the material in the first five parts. The book is suitable for use in advanced finance classes that emphasize the need to combine modeling skills with a deeper knowledge of the underlying financial models.
Author: Simon Benninga
Publisher: MIT Press
ISBN: 9780262024822
Category : Business & Economics
Languages : en
Pages : 648
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Book Description
Too often, finance courses stop short of making a connection between textbook finance and the problems of real-world business. "Financial Modeling" bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial problems with spreadsheets. The CD-ROM contains Excel* worksheets and solutions to end-of-chapter exercises. 634 illustrations.
Author: Paul Pignataro
Publisher: John Wiley & Sons
ISBN: 1118558766
Category : Business & Economics
Languages : en
Pages : 432
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Book Description
Written by the Founder and CEO of the prestigious New York School of Finance, this book schools you in the fundamental tools for accurately assessing the soundness of a stock investment. Built around a full-length case study of Wal-Mart, it shows you how to perform an in-depth analysis of that company's financial standing, walking you through all the steps of developing a sophisticated financial model as done by professional Wall Street analysts. You will construct a full scale financial model and valuation step-by-step as you page through the book. When we ran this analysis in January of 2012, we estimated the stock was undervalued. Since the first run of the analysis, the stock has increased 35 percent. Re-evaluating Wal-Mart 9months later, we will step through the techniques utilized by Wall Street analysts to build models on and properly value business entities. Step-by-step financial modeling - taught using downloadable Wall Street models, you will construct the model step by step as you page through the book. Hot keys and explicit Excel instructions aid even the novice excel modeler. Model built complete with Income Statement, Cash Flow Statement, Balance Sheet, Balance Sheet Balancing Techniques, Depreciation Schedule (complete with accelerating depreciation and deferring taxes), working capital schedule, debt schedule, handling circular references, and automatic debt pay downs. Illustrative concepts including detailing model flows help aid in conceptual understanding. Concepts are reiterated and honed, perfect for a novice yet detailed enough for a professional. Model built direct from Wal-Mart public filings, searching through notes, performing research, and illustrating techniques to formulate projections. Includes in-depth coverage of valuation techniques commonly used by Wall Street professionals. Illustrative comparable company analyses - built the right way, direct from historical financials, calculating LTM (Last Twelve Month) data, calendarization, and properly smoothing EBITDA and Net Income. Precedent transactions analysis - detailing how to extract proper metrics from relevant proxy statements Discounted cash flow analysis - simplifying and illustrating how a DCF is utilized, how unlevered free cash flow is derived, and the meaning of weighted average cost of capital (WACC) Step-by-step we will come up with a valuation on Wal-Mart Chapter end questions, practice models, additional case studies and common interview questions (found in the companion website) help solidify the techniques honed in the book; ideal for universities or business students looking to break into the investment banking field.
Author: Simon Benninga
Publisher: MIT Press (MA)
ISBN: 9780262026284
Category : Business & Economics
Languages : en
Pages : 1132
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Book Description
Too often, finance courses stop short of making a connection between textbook financeand the problems of real-world business. Financial Modeling bridges this gapbetween theory and practice by providing a nuts-and-bolts guide to solving common financial modelswith spreadsheets. Simon Benninga takes the reader step by step through each model, showing how itcan be solved using Microsoft Excel. The long-awaited third edition of this standard text maintainsthe "cookbook" features and Excel dependence that have made the first and second editionsso popular. It also offers significant new material, with new chapters covering such topics as bankvaluation, the Black-Litterman approach to portfolio optimization, Monte Carlo methods and theirapplications to option pricing, and using array functions and formulas. Other chapters, includingthose on basic financial calculations, portfolio models, calculating the variance-covariance matrix,and generating random numbers, have been revised, with many offering substantially new and improvedmaterial. Other areas covered include financial statement modeling, leasing, standard portfolioproblems, value at risk (VaR), real options, duration and immunization, and term structure modeling.Technical chapters treat such topics as data tables, matrices, the Gauss-Seidel method, and tips forusing Excel. The last section of the text covers the Visual Basic for Applications (VBA) techniquesneeded for the book. The accompanying CD contains Excel worksheets and solutions to end-of-chapterexercises.
Author: John S. Tjia
Publisher: McGraw Hill Professional
ISBN: 0071442820
Category : Business & Economics
Languages : en
Pages : 354
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Book Description
Financial modeling is essential for determining a company's current value and projecting its future performance, yet few books explain how to build models for accurately interpreting financial statements. Building Financial Models is the first book to correct this oversight, unveiling a step-by-step process for creating a core model and then customizing it for companies in virtually any industry. Covering every aspect of building a financial model, it provides a broad understanding of the actual mechanics of models, as well as their foundational accounting and finance concepts.
Author: Craig Holden
Publisher:
ISBN: 9780205987252
Category : Corporations
Languages : en
Pages : 0
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Book Description
This text is for courses in corporate finance or financial management at the undergraduate and graduate level. This book approaches building and estimating models with Microsoft® Excel®. Students are shown the steps involved in building models, rather than already-completed spreadsheets.
Author: Simon Benninga
Publisher: Oxford University Press, USA
ISBN: 9780199755479
Category : Business & Economics
Languages : en
Pages : 801
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Book Description
Finance is a topic that requires much computation, and in todayâe(tm)s business world that computation is almost entirely done using Microsoft Excel. Despite this, existing finance textbooks continue to rely heavily on hand calculators, and business school students find that when they leave the academic environment they have to relearn finance using Excel. Addressing this issue, Principles of Finance with Excel is the only introductory finance text that comprehensively integrates Excel into the teaching and practice of finance. The second edition covers the same topics as standard financial textbooks, including portfolios, capital asset pricing models, stock and bond valuation, capital structure, and dividend and optional policy, and can therefore be used in any introductory course. However, this text also introduces Excel as it applies to finance students, demonstrating and explaining the implementation of finance concepts with Excel, and providing thorough coverage of all Excel topics including graphs, function data tables, dates in Excel, Goal Seek, and Solver. Combining classroom-tested pedagogy with the powerful functions of Excel, Simon Benninga, one of the most recognised names in financial modelling, shows students how spreadsheets can provide new and deeper insights into financial decision making.
Author: Danielle Stein Fairhurst
Publisher: John Wiley & Sons
ISBN: 1119357543
Category : Business & Economics
Languages : en
Pages : 52
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Book Description
Make informed business decisions with the beginner's guide to financial modeling using Microsoft Excel Financial Modeling in Excel For Dummies is your comprehensive guide to learning how to create informative, enlightening financial models today. Not a math whiz or an Excel power-user? No problem! All you need is a basic understanding of Excel to start building simple models with practical hands-on exercises and before you know it, you'll be modeling your way to optimized profits for your business in no time. Excel is powerful, user-friendly, and is most likely already installed on your computer—which is why it has so readily become the most popular financial modeling software. This book shows you how to harness Excel's capabilities to determine profitability, develop budgetary projections, model depreciation, project costs, value assets and more. You'll learn the fundamental best practices and know-how of financial modeling, and how to put them to work for your business and your clients. You'll learn the tools and techniques that bring insight out of the numbers, and make better business decisions based on quantitative evidence. You'll discover that financial modeling is an invaluable resource for your business, and you'll wonder why you've waited this long to learn how! Companies around the world use financial modeling for decision making, to steer strategy, and to develop solutions. This book walks you through the process with clear, expert guidance that assumes little prior knowledge. Learn the six crucial rules to follow when building a successful financial model Discover how to review and edit an inherited financial model and align it with your business and financial strategy Solve client problems, identify market projections, and develop business strategies based on scenario analysis Create valuable customized templates models that can become a source of competitive advantage From multinational corporations to the mom-and-pop corner store, there isn't a business around that wouldn't benefit from financial modeling. No need to buy expensive specialized software—the tools you need are right there in Excel. Financial Modeling in Excel For Dummies gets you up to speed quickly so you can start reaping the benefits today!
Author: Thomas S. Y. Ho
Publisher:
ISBN: 019516962X
Category : Corporations
Languages : en
Pages : 762
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Book Description
The Oxford Guide to Financial Modeling is accompanied by a companion web site that serves as an interactive workbook designed specifically for the book. This site is simple to use yet exceedingly robust with regard to its technological efficiency and purposeful usability. It is designed to further enhance understanding of the use and applications of the models referred to in the book and it is accessible free of charge at www.thomasho.com. This on-line workbook and resource tool contains more than 95 downloadable Excel models. The models provide clear expositions of the mathematical formulations and can be used along with the book. The companion web site is rich with a plethora of research and analytic tools designed for "doing finance" on-line.
Author: Simon Benninga
Publisher: MIT Press
ISBN: 0262046423
Category : Business & Economics
Languages : en
Pages : 1049
Get Book Here
Book Description
A substantially updated new edition of the essential text on financial modeling, with revised material, new data, and implementations shown in Excel, R, and Python. Financial Modeling has become the gold-standard text in its field, an essential guide for students, researchers, and practitioners that provides the computational tools needed for modeling finance fundamentals. This fifth edition has been substantially updated but maintains the straightforward, hands-on approach, with an optimal mix of explanation and implementation, that made the previous editions so popular. Using detailed Excel spreadsheets, it explains basic and advanced models in the areas of corporate finance, portfolio management, options, and bonds. This new edition offers revised material on valuation, second-order and third-order Greeks for options, value at risk (VaR), Monte Carlo methods, and implementation in R. The examples and implementation use up-to-date and relevant data. Parts I to V cover corporate finance topics, bond and yield curve models, portfolio theory, options and derivatives, and Monte Carlo methods and their implementation in finance. Parts VI and VII treat technical topics, with part VI covering Excel and R issues and part VII (now on the book’s auxiliary website) covering Excel’s programming language, Visual Basic for Applications (VBA), and Python implementations. Knowledge of technical chapters on VBA and R is not necessary for understanding the material in the first five parts. The book is suitable for use in advanced finance classes that emphasize the need to combine modeling skills with a deeper knowledge of the underlying financial models.
