Title: Option Pricing Models: The Black-Scholes-Merton Model aka Black
1Option Pricing ModelsThe Black-Scholes-Merton
Model aka Black Scholes Option Pricing Model
(BSOPM)
2Important Concepts
- The Black-Scholes-Merton option pricing model
- The relationship of the models inputs to the
option price - How to adjust the model to accommodate dividends
and put options - The concepts of historical and implied volatility
- Hedging an option position
3The Black-Scholes-Merton Formula
- Brownian motion and the works of Einstein,
Bachelier, Wiener, Itô - Black, Scholes, Merton and the 1997 Nobel Prize
- Recall the binomial model and the notion of a
dynamic risk-free hedge in which no arbitrage
opportunities are available. - The binomial model is in discrete time. As you
decrease the length of each time step, it
converges to continuous time.
4Some Assumptions of the Model
- Stock prices behave randomly and evolve according
to a lognormal distribution. - The risk-free rate and volatility of the log
return on the stock are constant throughout the
options life - There are no taxes or transaction costs
- The stock pays no dividends
- The options are European
5Background
- Put and call prices are affected by
- Price of underlying asset
- Options exercise price
- Length of time until expiration of option
- Volatility of underlying asset
- Risk-free interest rate
- Cash flows such as dividends
- Premiums can be derived from the above factors
6Option Valuation
- The value of an option is the present value of
its intrinsic value at expiration.
Unfortunately, there is no way to know this
intrinsic value in advance. - Black Scholes developed a formula to price call
options - This most famous option pricing model is the
often referred to as Black-Scholes OPM.
7The Concepts Underlying Black-Scholes
- The option price and the stock price depend on
the same underlying source of uncertainty - We can form a portfolio consisting of the stock
and the option which eliminates this source of
uncertainty - The portfolio is instantaneously riskless and
must instantaneously earn the risk-free rate
8Option Valuation Variables
- There are five variables in the Black-Scholes OPM
(in order of importance) - Price of underlying security
- Strike price
- Annual volatility (standard deviation)
- Time to expiration
- Risk-free interest rate
9Option Valuation Variables Underlying Price
- The current price of the underlying security is
the most important variable. - For a call option, the higher the price of the
underlying security, the higher the value of the
call. - For a put option, the lower the price of the
underlying security, the higher the value of the
put.
10Option Valuation Variables Strike Price
- The strike (exercise) price is fixed for the life
of the option, but every underlying security has
several strikes for each expiration month - For a call, the higher the strike price, the
lower the value of the call. - For a put, the higher the strike price, the
higher the value of the put.
11Option Valuation Variables Volatility
- Volatility is measured as the annualized standard
deviation of the returns on the underlying
security. - All options increase in value as volatility
increases. - This is due to the fact that options with higher
volatility have a greater chance of expiring
in-the-money.
12Option Valuation Variables Time to Expiration
- The time to expiration is measured as the
fraction of a year. - As with volatility, longer times to expiration
increase the value of all options. - This is because there is a greater chance that
the option will expire in-the-money with a longer
time to expiration.
13Option Valuation Variables Risk-free Rate
- The risk-free rate of interest is the least
important of the variables. - It is used to discount the strike price
- The risk-free rate, when it increases,
effectively decreases the strike price.
Therefore, when interest rates rise, call options
increase in value and put options decrease in
value.
14Implied Volatility
- The implied volatility of an option is the
volatility for which the Black-Scholes price
equals the market price - The is a one-to-one correspondence between prices
and implied volatilities - Traders and brokers often quote implied
volatilities rather than dollar prices
15Nature of Volatility
- Volatility is usually much greater when the
market is open (i.e. the asset is trading) than
when it is closed - For this reason time is usually measured in
trading days not calendar days when options are
valued
16A Nobel Formula
- The Black-Scholes-Merton model gives the correct
formula for a European call under these
assumptions. - The model is derived with complex mathematics but
is easily understandable. The formula is
17Screen Shot of the Excel template for the BSOPM
18OPM The Measurement of Portfolio Risk Exposure
- Because BS OPM isolates the effects of each
variables effect on pricing, it is said that
these isolated, independent effects measure the
sensitivity of the options value to changes in
the underlying variables.
19The Greeks
- Greeks are derivatives of the option price
function - Delta
- Gamma
- Theta
- Vega
- Rho
- The Greeks are also called hedge parameters as
they are often used in hedging operations by big
financial institutions
20Delta
- Delta (D) describes how sensitive the option
value is to changes in the underlying stock
price. - Change in option price Delta
- Change in stock price
-
21Delta Application
- Suppose that the delta of a call is .8944.
- What does this mean????
22Delta Neutral
- In other words, we want the delta to be zero.
- Example
- Current stock price is 100
- Call price (per opm) is 11.84
- Delta .8944
- We must buy .8944 shares of stock for each option
sole to produce a delta neutral portfolio
23Delta Neutrality
- Exists when small changes in the price of the
stock does not affect the value of the portfolio. - However, this neutrality is dynamic, as the
value of delta itself changes as the stock price
changes. - This idea of neutrality can be extended to the
other sensitivity measures.
24Gamma
- Gamma (G) is the rate of change of delta (D) with
respect to the price of the underlying asset. - For example, a Gamma change of 0.150 indicates
the delta will increase by 0.150 if the
underlying price increases or decreases by 1.0. - Change in Delta Gamma
- Change in stock price
25Gamma Application
- Can be either positive or negative
- The only Greek that does not measure the
sensitivity of an option to one of the underlying
assets. it measures changes to its Greek
brother Delta, as a result of changes to the
stock price.
26Theta
- Theta (Q) of a derivative is the rate of change
of the value with respect to the passage of time. - Or sensitivity of option value to change in time
- Change in Option Price THETA
- Change in time to Expiration
27Theta Application
- If time is measured in years and value in
dollars, then a theta value of 10 means that as
time to option expiration declines by .1 years,
option value falls by 1. - AKA Time decay
- A term used to describe how the theoretical value
of an option "erodes" or reduces with the passage
of time.
28Vega
- Vega (n) is the rate of change of the value of a
derivatives portfolio with respect to volatility - For example
- a Vega of .090 indicates an absolute change in
the option's theoretical value will increase by
.090 if the volatility percentage is increased by
1.0 or decreased by .090 if the volatility
percentage is decreased by 1.0. - Change in Option Price Vega
- Change in volatility
29Vega Application
- Proves to us that the more volatile the
underlying stock, the more volatile the option
price. - Vega is always a positive number.
30Rho
- Rho is the rate of change of the value of a
derivative with respect to the interest
rate - For example
- a Rho of .060 indicates the option's theoretical
value will increase by .060 if the interest rate
is decreased by 1.0. - Change in option price RHO
- Change in interest rate
31Rho Application
- Rho for calls is always positive
- Rho for puts is always negative
- A Rho of 25 means that a 1 increase in the
interest rate would - Increase the value of a call by .25
- Decrease the value of a put by .25