11.1 introduction to futures and options markets, 3rd edition © 1997 by john c. hull the pricing of...

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11. Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull The Pricing of Stock Options Using Black- Scholes Chapter 11

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Page 1: 11.1 Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull The Pricing of Stock Options Using Black- Scholes Chapter 11

11.1

Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull

The Pricing of Stock Options Using Black-

Scholes

Chapter 11

Page 2: 11.1 Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull The Pricing of Stock Options Using Black- Scholes Chapter 11

11.2

Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull

Black-Scholes Model

• Black-Scholes option pricing model was developed in 1970 by:

• Fischer Black

• Myron Scholes

• Robert Merton

• Their work has had huge influence on the way in which market participants price and hedge options.

Page 3: 11.1 Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull The Pricing of Stock Options Using Black- Scholes Chapter 11

11.3

Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull

Assumptions Underlying Black-Scholes

• Black-Scholes assume that stock prices follow a random walk.

- This means that proportional changes in the stock price in a short period of time are normally distributed.

• Proportional change is the change in the stock price in time t is S. The return in time t is S/S

• This return is assumed to be normally distributed with mean t and standard deviation

t

Page 4: 11.1 Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull The Pricing of Stock Options Using Black- Scholes Chapter 11

11.4

Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull

The Lognormal Property• These assumptions imply ln ST is normally

distributed with mean:

and standard deviation:

• Since the logarithm of ST is normal, ST is lognormally distributed

ln ( / )S T 2 2

T

Page 5: 11.1 Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull The Pricing of Stock Options Using Black- Scholes Chapter 11

11.5

Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull

The Lognormal Propertycontinued

where m,s] is a normal distribution with mean m and standard deviation s

ln ( / ) ,S

ST TT 2 2

Page 6: 11.1 Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull The Pricing of Stock Options Using Black- Scholes Chapter 11

11.6

Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull

Problem

Calculate the mean and standard deviation of the continuously compounded return in one one year for a stock with an expected retrun of 17 percent and volatility of 20 percent per annum.

Page 7: 11.1 Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull The Pricing of Stock Options Using Black- Scholes Chapter 11

11.7

Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull

The Expected Return

Two possible definitions:

• is the arithmetic average of the returns realized in may short intervals of time

• – 2/2 is the expected continuously compounded return realized over a longer period of time

is an arithmetic average

– 2/2 is a geometric average

Page 8: 11.1 Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull The Pricing of Stock Options Using Black- Scholes Chapter 11

11.8

Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull

The Volatility

• The volatility of a stock, , is a measure of uncertainty about the return provided by the stock.- It is measured as the standard deviation of the

return provided by the stock in one year when the return is expressed using continuous compounding.

• As an approximation it is the standard deviation of the proportional change in 1 year

Page 9: 11.1 Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull The Pricing of Stock Options Using Black- Scholes Chapter 11

11.9

Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull

The Volatility (cont.)

• As a rough approximation, is the standard deviation of the proportional change in the stock price in time T.- Consider the situation, where = 0.30 per annum

• standard deviation of the proportional change in:–six month

–three month

- Uncertainty about the future stock price increases with the square root of how far ahead you are looking.

T

Page 10: 11.1 Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull The Pricing of Stock Options Using Black- Scholes Chapter 11

11.10

Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull

Estimating Volatility from Historical Data

1. Take observations S 0, S 1, . . . , Sn at intervals of years

2. Define the continuously compounded return as:

3. Calculate the standard deviation of the ui ´s (=s)

4. The volatility estimate is

uS

Sii

i

ln1

ss

*

Page 11: 11.1 Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull The Pricing of Stock Options Using Black- Scholes Chapter 11

11.11

Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull

The Concepts Underlying Black-Scholes

• The option price & the stock price depend on the same underlying source of uncertainty

• We can form a portfolio consisting of the stock & the option which eliminates this source of uncertainty

• The portfolio is instantaneously riskless & must instantaneously earn the risk-free rate

Page 12: 11.1 Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull The Pricing of Stock Options Using Black- Scholes Chapter 11

11.12

Introduction to Futures and Options Markets, 3rd Edition © 1997 by John C. Hull

Computation of Volatility Using Historical data

Day Closing Stock Price Price Relative Daily return0 201 20 1/8 1.0063 0.006232 19 7/8 0.9876 -0.012503 20 1.0063 0.006274 20 1/2 1.0250 0.024695 20 1/4 0.9878 -0.012276 20 7/8 1.0309 0.030407 20 7/8 1.0000 0.000008 20 7/8 1.0000 0.000009 20 3/4 0.9940 -0.00601

10 20 3/4 1.0000 0.0000011 21 1.0120 0.0119812 21 1/8 1.0060 0.0059313 20 7/8 0.9882 -0.0119014 20 7/8 1.0000 0.0000015 21 1/4 1.0180 0.0178016 21 3/8 1.0059 0.0058717 21 3/8 1.0000 0.0000018 21 1/4 0.9942 -0.0058719 21 3/4 1.0235 0.0232620 22 1.0115 0.01143