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Financial Modeling, 2nd Edition
 
 
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Financial Modeling, 2nd Edition [Hardcover]

Simon Benninga (Author)
4.4 out of 5 stars  See all reviews (22 customer reviews)

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Hardcover, Sep 18 2000 --   -- --
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Financial Modeling Financial Modeling 4.0 out of 5 stars (1)
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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 models with spreadsheets. Simon Benninga takes the reader step by step through each model, showing how it can be solved using Microsoft Excel®. In this sense, this is a finance "cookbook," providing recipes with lists of ingredients and instructions.

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.

About the Author

Simon Benninga is Professor of Finance at Tel Aviv University and Visiting Professor of Finance at the Wharton School at the University of Pennsylvania.
Inside This Book (Learn More)
First Sentence
Both concepts, present value and net present value, are related to the value today of a set of future anticipated cash flows. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews

22 Reviews
5 star:
 (15)
4 star:
 (3)
3 star:
 (2)
2 star:
 (1)
1 star:
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Average Customer Review
4.4 out of 5 stars (22 customer reviews)
 
 
 
 
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3.0 out of 5 stars Perspective from Student in Finance, Mar 28 2007
By 
Christopher Gillam "CFA Candidate" (Montreal, Canada) - See all my reviews
(REAL NAME)   
This review is from: Financial Modeling, 2nd Edition (Hardcover)
I'm finishing up my Bachelor's degree this May and find Benninga's book O.K. It's great if you're using it to learn Visual Basic at the same time, or to get a taste of basic financial modeling. However, from the Finance perspective, the author often states information without necessarily explaining where it came from, which is bad if you're just as interested in the CONCEPTS than the actual programming into VB. In any case, my professors who also teach financial engineering use more robust programming software (C++, MathLab, etc.)...

Good if you're interested in the modeling, not so hot if you're interested in the concepts that go with it. A good introductory book, but nothing more. Definitely not reference material.
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5.0 out of 5 stars Excellent book for any novice on financial modeling, Jan 17 2004
By 
Manoj Bhaskar (Toronto, ON Canada) - See all my reviews
This review is from: Financial Modeling, 2nd Edition (Hardcover)
I have used this book and recommended to others. It is certainly one of the best books on financial modelling, especially if you are a novice in modeling. It gives step by step clear techniques for various problems. It is very easy to read, with excellent examples. Hope you can enjoy this book as much as I have.
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5.0 out of 5 stars Financial Modeling - 2nd Edition, Oct 18 2003
This review is from: Financial Modeling, 2nd Edition (Hardcover)
Great intro to financial modeling, excellent text for undergrad finance and MBA students. Learn core financial topics and Excel simultaneously. Takes financial theory and applies it in excel with real "nuts and bolts" applications. Includes a CD with all the speadheets on it which is alone worth the price. No advanced math or statistics needed, although it would help the reader. Perhaps too basic for a student/graduate Ph.D. in Economics/Finance or M.S. in Financial Engineering.
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