Description Financial Modeling is now the standard text for explaining the implementation of financial models in Excel. This long-awaited fourth edition maintains the “cookbook" features and Excel dependence that have made the previous editions so popular. As in previous editions, basic and advanced models in the areas of corporate finance, portfolio management, options, and bonds are explained with detailed Excel spreadsheets. Sections on technical aspects of Excel and on the use of Visual Basic for Applications (VBA) round out the book to make Financial Modeling a complete guide for the financial modeler.
The new edition of Financial Modeling includes a number of innovations. A new section explains the principles of Monte Carlo methods and their application to portfolio management and exotic option valuation. A new chapter discusses term structure modeling, with special emphasis on the Nelson-Siegel model. The discussion of corporate valuation using pro forma models has been rounded out with the introduction of a new, simple model for corporate valuation based on accounting data and a minimal number of valuation parameters.
Table of Contents I CORPORATE FINANCE AND VALUATION
1 Basic Financial Calculations
2 Corporate Valuation Overview
3 Calculating the Weighted Average Cost of Capital (WACC)
4 Valuation Based on the Consolidated Statement of Cash Flows
5 Pro Forma Financial Statement Modeling
6 Building a Pro Forma Model: The Case of Caterpillar
7 Financial Analysis of Leasing
II PORTFOLIO MODELS
8 Portfolio Models—Introduction
9 Calculating Efficient Portfolios
10 Calculating the Variance-Covariance Matrix
11 Estimating Betas and the Security Market Line
12 Efficient Portfolios Without Short Sales
13 The Black-Litterman Approach to Portfolio Optimization
14 Event Studies
III VALUATION OF OPTIONS
15 Introduction to Options
16 The Binomial Option Pricing Model
17 The Black-Scholes Model
18 Option Greeks
19 Real Options
IV VALUING BONDS
20 Duration
21 Immunization Strategies
22 Modeling the Term Structure
23 Calculating Default-Adjusted Expected Bond Returns
V MONTE CARLO METHODS
24 Generating and Using Random Numbers
25 An Introduction to Monte Carlo Methods
26 Simulating Stock Prices
27 Monte Carlo Simulations for Investments
28 Value at Risk (VaR)
29 Simulating Options and Option Strategies
30 Using Monte Carlo Methods for Option Pricing
VI TECHNICAL CHAPTERS
31 Data Tables
32 Matrices
33 Excel Functions
34 Array Functions
35 Some Excel Hints
VII VISUAL BASIC FOR APPLICATIONS (VBA)
36 User-Defined Functions with VBA
37 Variables and Arrays
38 Subroutines and User Interaction
39 Objects and Add-Ins
Index
The late Simon Benninga was Professor of Finance and Director of the Sofaer International MBA program at the Faculty of Management at Tel-Aviv University. For many years he was a Visiting Professor at the Wharton School of the University of Pennsylvania.