Chapter 21
Option Valuation
I. Chapter Outline
The following chapter outline is correlated to the PowerPoint Lecture Slides. The PowerPoint slides
are referenced in bold. Alternative Examples to selected textbook examples are also available in the
PowerPoint Lecture Slides and are also referenced in bold.
21.1 The Binomial Option Pricing Model (Slide 7)
A Two-State Single-Period Model (Slides 816)
Figure 21.1 Replicating an Option in the Binomial Model (Slide 17)
The Binomial Pricing Formula (Slides 1820)
Example 21.1 Valuing a Put Option (Slides 2122)
PowerPoint Alternative Example 21.1 (Slides 2334)
A Multiperiod Model (Slides 2534)
Example 21.2 Using the Binomial Option Pricing Model to Value a Put Option (Slides
3537)
21.2 The Black-Scholes Option Pricing Model (Slide 40)
The Black-Scholes Formula (Slides 4142, 44, 51, 57-59)
Figure 21.3 Normal Distribution (Slide 43)
Interview with Myron S. Scholes
Example 21.3 Valuing a Call Option with the Black-Scholes Formula (Slides 4547)
PowerPoint Alternative Example 21.3 (Slides 4849)
Table 21.1 JetBlue Option Quotes (Slide 46)
European Put Options (Slide 51)
Figure 21.4 Black-Scholes Value on July 24, 2009 of the December 2009 $6 Call on
JetBlue Stock (Slide 50)
Example 21.4 Valuing a Put Option with the Black-Scholes Formula (Slides 5253)
PowerPoint Alternative Example 21.4 (Slides 5455)
PowerPoint Alternative Example 21.5 (Slides 6364)
Implied Volatility (Slide 65)
Berk/DeMarzo Corporate Finance, Fourth Edition, Global Edition 91
Example 21.6 Computing the Implied Volatility from an Option Price (Slides 6667)
Global Financial Crisis: The VIX Index
21.3 Risk-Neutral Probabilities (Slide 75)
A Risk-Neutral Two-State Model (Slides 7679)
Implications of the Risk-Neutral World (Slides 8085)
Risk-Neutral Probabilities and Option Pricing (Slides 8687, 9192)
Example 21.8 Option Pricing with Risk-Neutral Probabilities (Slides 8890)
21.4 Risk and Return of an Option (Slides 93, 96)
21.5 Corporate Applications of Option Pricing (Slide 99)
Beta of Risky Debt (Slides 99100)
Figure 21.9 Beta of Debt and Equity (Slide 101)
Example 21.10 Computing the Beta of Debt (Slides 102103)
Agency Costs of Debt (Slide 104)
II. Learning Objectives
21-2 Define the replicating portfolio for the Binomial Option Pricing Model.
21-4 Use the Black-Scholes Option Pricing formula to calculate the value of a call option on a non-
dividend-paying stock.
21-6 Compute the value of a European option on a dividend-paying stock.
21-8 Discuss what is meant by risk-neutral probabilities, and show how these probabilities can be
used to price any other asset for which the payoffs in each state are known.
21-10 Calculate and interpret the beta of an option.
21-11 Use the Black-Scholes formula to unlever the equity beta of a firm and find the beta of debt.
92 Berk/DeMarzo Corporate Finance, Fourth Edition, Global Edition
III. Chapter Overview
The chapter discusses how options are valued using the Binomial Option Pricing Model, the Black
Scholes formula, and risk-neutral probabilities. The authors emphasize the reliance of these formulas
on the Law of One Price.
21.1 The Binomial Option Pricing Model
This section begins with a two-state single-period model. The authors show how to form a replicating
portfolio, and show that the price is not a function of the probabilities of the states in the binomial
21.2 The Black-Scholes Option Pricing Model
Rather than deriving the Black-Scholes formula, the authors state it (Equation 21.7) and discuss its
implications. Example 21.3 shows how to value a call option with the Black-Scholes formula. The
authors then show how to compute the price of a European put on a non-dividend-paying stock using
21.3 Risk-Neutral Probabilities
21.4 Risk and Return of an Option
This section discusses the beta of an option, using the fact that, for a call option, the replicating
21.5 Corporate Applications of Option Pricing
The final section of this chapter shows how the previous information can be used to calculate the beta
IV. Spreadsheet Solutions in Excel
There are no spreadsheet solutions for this chapter.