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Financial Modeling - 2nd Edition: Includes CD Subsequent Edition
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Areas covered include computation of corporate finance problems, standard portfolio problems, option pricing and applications, and duration and immunization. The second edition contains six new chapters covering financial calculations, cost of capital, value at risk (VaR), real options, early exercise boundaries, and term structure modeling. A new technical chapter contains a potpourri of tips for using Excel®.
Although the reader should know enough about Excel™ to set up a simple spreadsheet, the author explains advanced Excel® techniques used in the book. The book includes chapters dealing with random number generation, data tables, matrix manipulation, and VBA programming. It also comes with a CD-ROM containing Excel® worksheets and solutions to end-of-chapter exercises.
- ISBN-100262024829
- ISBN-13978-0262024822
- EditionSubsequent
- PublisherMit Pr
- Publication dateJanuary 1, 2000
- LanguageEnglish
- Dimensions7.25 x 1.25 x 9.25 inches
- Print length622 pages
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- Publisher : Mit Pr; Subsequent edition (January 1, 2000)
- Language : English
- Hardcover : 622 pages
- ISBN-10 : 0262024829
- ISBN-13 : 978-0262024822
- Item Weight : 2.4 pounds
- Dimensions : 7.25 x 1.25 x 9.25 inches
- Best Sellers Rank: #3,242,810 in Books (See Top 100 in Books)
- #281 in Business Accounting Software Computer
- #336 in Personal Finance Software (Books)
- #154,448 in Unknown
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About the authors
In the last 20 years I have written a series of books on financial modeling. My current books are Financial Modeling (3rd edition, MIT Press, 2008) and Principles of Finance with Excel (2nd edition, Oxford University Press, 2010). Both books integrate Excel with financial problems. It is difficult to exaggerate the importance of Excel for anyone doing finance, whether student or practitioner, but for some reason most finance books either ignore Excel completely or do not instruct the reader in the nuts-and-bolts of Excel implementation of finance problems. Hence my books.
Of the two currently in-print books, Financial Modeling is a more advanced modeling/finance book that includes VBA and some more advanced mathematics (all explained within the confines of the text). FM has become perhaps the standard financial modeling book at universities and among practitioners. It has been translated into Japanese, Chinese, Italian, and Russian.
Principles of Finance with Excel is an introductory text that covers the standard concepts of a "Principles" or "Introductory" finance book while maintaining the integration with Excel. PFE is gaining increasing adoption at universities in introductory finance courses.
I maintain a full website at http://simonbenninga.com that includes materials for instructors using my books in courses.
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The inadequacies that limit my assessment to four stars and need to be addressed in the third edition are: 1) frustrating errors in the text and models, for which the errata sheet and corrected models (available at: [...] only improve, but do not heal. My students find new, undocumented, errors each semester. 2) the data sets and examples are getting, frankly, a little old. It is the year 2005 as I write this, but the data sets and examples end in 1999, a year in which my current students were in high school. 3) the models, while excellent as introductions to the field, are now at the point of being fundamental, rather than exemplary. This is not Prof. Benninga's fault, but as the other reviews from professionals here attest, Excel modeling has advanced in all fields (option pricing, financial statements, portfolio optimization, bond metrics, etc). When this volume was introduced, it was adequate for helping MBA and Master of Science in Finance students build essential modeling skills. Sadly, it now is only appropriate for raw beginners or undergraduates. A new text with a larger scope that addresses advances in the fields is called for. 4) While it is a subject in itself, the book is seriously hindered by not introducing basic Monte Carlo simulation in Excel. 5) No information on downloading data from BLOOMBERG, REUTERS, and other historical and market data providers. It would add to the scope of the text, but 6) fitting DCF models to yield curves also would be welcome.
Even with these criticisms, Benninga's Financial Modeling remains the best book in the field for what it seeks to accomplish. It covers the major topics of finance that are appropriately addressed with models: financial statement, firm valuation and credit metrics, portfolio construction, fixed income metrics, option pricing, etc. Benninga's FM also compares favorably with his two nearest competitors.
Powel and Baker's "The Art of Spreadsheet Modeling" is a two pronged monster: it seeks to be a meta-level theoretical work on spreadsheet modeling, and then introduces modeling Monte Carlo simulation as a fundamental component of Excel (a student edition of CrystalBall is included in the text, and is the only reason to buy this book). The gap between the two is a Grand Canyon's worth of knowledge space that this text does not fill in and nearly ignores. The student who uses only Powel and Baker is ill served; whereas if he uses Benninga, he knows how, why, when and what to model. Consider Powel & Baker as sketches of a concept car with simulated wind tunnel runs, whereas Benninga shows how to build your own kit car and drive it around. Powel and Baker's concept car is beautiful, advanced, gracious, but doesn't exist and doesn't run; Benninga's kit car is like a Lotus Super Seven: simple, runs, is a blast to drive, but is dangerous in heavy traffic and you would not want to go on a 1,000 mile journey with it (i.e. or build a DCF model for the Goldman Sachs LBO team with only Benninga).
Chandan Sengupta's "Financial Modeling Using Excel and VBA" is the only book that comes close to Benninga, and I recommend it as another perspective for my students who want to continue with financial modeling. However, Sengupta's work is flawed on two counts: 1) it is clear throughout that he had read Benninga, and 2) he dropped much of Benninga's content in favor of adding wordy explanatory paragraphs to soften the blow of the fact that modeling is mathematically and technically both boring and intense work. With those criticisms in mind, his work still has neater, leaner, more compressed models with updated contemporary detail.
There are three other books, Scott Proctor's "Building Financial Models with Microsoft Excel: A Guide for Business Professionals," which focuses on building vanilla financial statements, as does John Tjia "Building Financial Models." Mary Jackson & Mike Staunton's "Advanced Modeling in Finance using Excel and VBA" is also now dated and seriously flawed and limited in scope), however it is the next step following Benninga.
For those working in top-tier banks, the internal training and modeling documents, and examples built by colleagues, will likely surpass by light years what is offered in these books. And so for beginners, Benninga remains the the best choice and first step, until something better comes along, or Benninga himself produces a new edition.