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.
Simon Benninga is Professor of Finance at Tel Aviv University and
Visiting Professor of Finance at the Wharton School at the University of Pennsylvania.
Table of Contents
Preface |
|
|
Preface to the First Edition |
|
I |
Corporate Finance Models |
1 |
1 |
Basic Financial Calculations |
3 |
2 |
Calculating the Cost of Capitol |
27 |
App. 1 |
A Rule of Thumb for Calculating Debt Betas |
49 |
App. 2 |
Why Is [beta] Such a Good Measure of Risk? Portfolio [beta] versus
Individual Stock [beta] |
51 |
App. 3 |
Getting Data from the Internet |
52 |
3 |
Financial Statement Modeling |
57 |
App. 1 |
Calculating the Free Cash Flows When There Are Negative Profits |
83 |
App. 2 |
Accelerated Depreciation in Pro Forma Models |
84 |
4 |
Using Financial Statement Models for Valuation |
89 |
5 |
The Financial Analysis of Leasing |
101 |
App |
The Tax and Accounting Treatment of Leases |
111 |
6 |
The Financial Analysis of Leveraged Leases |
115 |
II |
Portfolio Models |
129 |
7 |
Portfolio Models - Introduction |
131 |
App. 1 |
Adjusting for Dividends |
146 |
App. 2 |
Continuously Compounded versus Geometric Returns |
148 |
8 |
Calculating the Variance-Covariance Matrix |
151 |
9 |
Calculating Efficient Portfolios When There Are No Short-Sale Restrictions |
161 |
|
Appendix |
179 |
10 |
Estimating Betas and the Security Market Line |
185 |
11 |
Efficient Portfolios without Short Sales |
199 |
12 |
Value at Risk (VaR) |
209 |
App |
How to Bootstrap: Making a Bingo Card in Excel |
219 |
III |
Option-Pricing Models |
229 |
13 |
An Introduction to Options |
231 |
14 |
The Binomial Option-Pricing Model |
253 |
15 |
The Lognormal Distribution |
277 |
16 |
The Black-Scholes Model |
297 |
17 |
Portfolio Insurance |
311 |
18 |
Real Options |
329 |
19 |
Early Exercise Boundaries |
343 |
App |
Proof |
358 |
IV |
Bonds and Duration |
361 |
20 |
Duration |
363 |
21 |
Immunization Strategies |
381 |
22 |
Modeling the Term Structure |
393 |
23 |
Calculating Default-Adjusted Expected Bond Returns |
401 |
24 |
Duration and the Cheapest-to-Deliver Problem for Treasury Bond Futures
Contracts |
417 |
V |
Technical Considerations |
429 |
25 |
Random Numbers |
431 |
26 |
Data Tables |
443 |
27 |
Matrices |
449 |
28 |
The Gauss-Seidel Method |
457 |
29 |
Excel Functions |
461 |
30 |
Some Excel Hints |
479 |
VI |
Introduction to Visual Basic for Applications |
491 |
31 |
User-Defined Functions with Visual Basic for Applications |
493 |
App |
Cell Errors in Excel and VBA |
516 |
32 |
Types and Loops |
519 |
33 |
Macros and User Interaction |
539 |
34 |
Arrays |
557 |
35 |
Objects |
581 |
App |
Excel Object Hierarchy |
601 |
|
References |
603 |
|
Index |
611 |
1168 pages, Hardcover
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