Option Pricing Models: The Black-Scholes-Merton Model aka Black

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Option Pricing Models: The Black-Scholes-Merton Model aka Black

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Title: Option Pricing Models: The Black-Scholes-Merton Model aka Black


1
Option Pricing ModelsThe Black-Scholes-Merton
Model aka Black Scholes Option Pricing Model
(BSOPM)
2
Important 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

3
The 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.

4
Some 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

5
Background
  • 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

6
Option 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.

7
The 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

8
Option 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

9
Option 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.

10
Option 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.

11
Option 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.

12
Option 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.

13
Option 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.

14
Implied 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

15
Nature 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

16
A 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

17
Screen Shot of the Excel template for the BSOPM
18
OPM 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.

19
The 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

20
Delta
  • 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

21
Delta Application
  • Suppose that the delta of a call is .8944.
  • What does this mean????

22
Delta 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

23
Delta 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.

24
Gamma
  • 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

25
Gamma 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.

26
Theta
  • 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

27
Theta 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.

28
Vega
  • 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

29
Vega Application
  • Proves to us that the more volatile the
    underlying stock, the more volatile the option
    price.
  • Vega is always a positive number.

30
Rho
  • 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

31
Rho 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
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