A Note on Continuous Compounding - PowerPoint PPT Presentation

1 / 27
About This Presentation
Title:

A Note on Continuous Compounding

Description:

The Black-Scholes formula can be easily used with a hand calculator. ... Instead of valuing each mortgage in a pool separately, take a statistical ... – PowerPoint PPT presentation

Number of Views:33
Avg rating:3.0/5.0
Slides: 28
Provided by: AndyH8
Category:

less

Transcript and Presenter's Notes

Title: A Note on Continuous Compounding


1
A Note on Continuous Compounding
2
Continuous Compounding
  • If your money earns at an APR (annual percentage
    rate) of 6 per year compounded semi-annually,
    what is the effective annual rate of return?
  • FV (1.03)2 1.0609
  • reff 6.09
  • The general formula for the effective annual
    rate is
  • As the compounding frequency increases,
  • Where e is the number 2.71828

K
K
3
Continuous Compounding
For Example
4
Continuous Compounding
  • We can also calculate the continuously
    compounded rate of return on a stock for some
    period as follows
  • If ST is the end-of-period price and S0 is the
    starting price, then the return is ln(ST / S0)
    where ln is the natural logarithm
  • For example, if the price one year ago was 100
    and the current price is 110, the continuously
    compounded return id ln( 110 / 100), or 0.0953,
    and e.0953 1 10

5
The Black-Scholes Formula
6
The Black-Scholes Formula
  • In 1973 Black and Scholes published a closed
    form solution to the problem of pricing European
    call options. The formula is as follows
  • Where
  • And

7
The Black-Scholes Formula
  • Notation is consistent with that developed
    previously. New notation includes the following
  • N(d) The probability that a random draw from a
    standard normal distribution will be less than d
  • e 2.71828, the base of the natural log
    function (ln)
  • r The annualized, continuously compounded rate
    of return on a risk-free asset with the same
    maturity as the expiration of the option
  • ? Standard deviation of the annualized
    continuously compounded rate of return on the
    stock


 
 
8
The Black-Scholes Formula
  • The Black-Scholes formula can be easily used
    with a hand calculator. See the text for an
    example. By contrast, the binomial model requires
    a computer
  • Note that of the 5 inputs necessary (S, X, r, ?,
    and T), only the standard deviation of the return
    on the stock must be computed
  • Online services (such as Bloomberg) report
    standard deviations, and both the Black-Scholes
    and binomial model option prices

9
The Relation Between the Black-Scholes Model and
the Binomial Model
  • It can be shown that if we choose the parameters
    governing the up and down movements in the stock
    appropriately, as below for example
  • Then the larger n (the number of periods), the
    closer the binomial call option price to the
    Black-Scholes call option price
  • In the limit, as n??, and ?T ? 0, the two are
    equal
  • In this case the stock price process will be the
    geometric Brownian motion discussed above, the
    assumed stochastic process governing stock price
    movements in the Black-Scholes model.

10
Hedge Ratios and the Black-Scholes Formula
  • An options hedge ratio is the change in the
    price of an option for a 1 change in the stock
    price.
  • A call option therefore has a positive hedge
    ratio, and a put option has a negative hedge
    ratio. A hedge ratio is commonly called the
    options delta (? )
  • In the single period binomial model, the hedge
    ratio was easily calculated as
  • Black-Scholes hedge ratios are also easy to
    compute. The hedge ratio for a call is N(d1),
    while the hedge ratio for a put is N(d1) 1

11
Hedge Ratios and the Black-Scholes Formula
  • It is important to note that the hedge ratios
    change as the price of the stock changes
  • For a call option, an option deeply in the money
    will be exercised at expiration with high
    probability. Therefore, each dollar change in the
    value of the stock will change the value of the
    option by close to one dollar.
  • If an option is far out of the money near
    expiration, exercise will be unlikely, so each
    dollar change in the value of the stock will have
    little impact on the value of the option

12
Hedge Ratios and the Black-Scholes Formula
  • Note that an options delta also will change
    with time, since time to expiration is an
    important determinant of the probability that an
    option will expire in the money. (As time
    approaches expiration, the value of the option
    approaches its intrinsic value)

13
Hedge Ratios and the Black-Scholes Formula
  • The hedge ratio is an important tool in
    portfolio management because it shows the
    sensitivity of the value of a portfolio to
    changes in the value of n underlying security
  • Delta Hedging If we know the hedge ratio of a
    call, it tells us the number of calls that must
    be sold to hedge the stock position
  • Assume for example that the option price is 10,
    the stock price is 100, and ? .6
  • This means that if the stock price changes by a
    small amount, then the option price changes by
    about 60 of that amount

14
Hedge Ratios and the Black-Scholes Formula
  • If an investor had sold 10 options contracts
    (options to buy 1000 shares), then the investors
    position could be hedged by buying 600 shares of
    stock (.6 x 1000) because a 1 increase in the
    value of the stock will offset the change in the
    value of the call portfolio
  • Remember that a portfolio will only remain delta
    hedged for a short period of time because of the
    impact of both time and the price of the stock on
    the hedge ratio

15
Hedge Ratios and the Black-Scholes Formula
  • Dynamic Hedging Schemes refer to the frequent
    rebalancing that is necessary in order to
    maintain a particular hedge

16
Implied Volatilities
  • The Black-Scholes model yields a price as an
    output after inputting the variables listed above
  • Recall that the only input that must be
    calculated is the volatility estimate
  • An alternative is to use an option market price
    to yield the implied volatility of the
    underlying asset
  • We might expect the implied volatilities of
    options on the same underlying asset to have the
    same implied volatility

17
Implied Volatilities
IN FACT THIS IS NOT THE CASE!
  • The term structure of volatility describes the
    way at-the-money implied volatility varies with
    time to expiration.
  • - There is evidence that implied volatilities are
    higher for longer time-to-expiration index
    options
  • The volatility smile is the way in which implies
    volatility varies with strike price for options
    of a fixed expiration
  • Here there is evidence that deep out-of-the money
    puts and deep in-the-money calls have higher
    implied values than at-the-money puts and calls.
  • The smile became more pronounced after the
    crash of 87 and some attribute it to
    crashophobia
  • The smile is an important challenge to option
    pricing theories

18
Executive Options
  • Importance
  • FASB may soon require firms to calculate and
    recognize as a cost the value of employee stock
    options when granted
  • Even if FASB backs off, investors, analysts, and
    employees need to be able to value these options
  • Why Black-Scholes doesnt work
  • Employee stock options are not transferable
  • The only way to liquidate a position is sell it,
    forfeiting the time value
  • Early exercise is based on portfolio
    diversification motives

19
Executive Options
  • Why not use B-S using an historically estimated
    expected time to exercise?
  • Exercise experience will depend in large part on
    stock returns during the sample period
  • Because option value is a nonlinear function of
    the term of the option, use of he expected term
    will introduce additional error
  • Since the time until exercise will generally
    vary inversely with the stock price (and
    therefore the option payoff), replacing stated
    term with expected term will overstate the value
    of the option

20
Executive Options
  • Example Employee has two sources of wealth
  • Call option
  • Risk-free investments


21
Executive Options
  • At maturity the exercise rule is trivial
  • At node B, EV 24.20 gt 20
  • Here the exercise rule depends on investors
    risk tolerance
  • It would not take much risk aversion to prefer
    20 for sure to the gamble of 44 with p 0.55 and
    0 with p .45

22
Executive Options
  • The propensity to exercise early will depend on
  • The employees level of risk aversion
  • The extent to which the employees human capital
    is firm specific
  • The fraction of total wealth the option(s)
    represent

23
Executive Options
  • If we assume risk aversion is sufficient to
    dictate early exercise at node B, the value of
    the firms obligation and the employees
    compensation is reduced by 10

24
Executive Options
  • Note the difficulty in using historical rates of
    exercise to forecast future rates Exercise will
    never occur at node C!!
  • Rates of exercise depend on past price movements
    (which do not predict future price movements!)
  • In this example, expected term is 0.55 x 1
    period 0.5 x 2 periods

25
Executive Options
  • The following figure shows the influence of the
    assumed degree of employee risk aversion and
    non-option wealth on the value of an option
  • Assuming a gamma of about 4 is reasonable for
    this type of exercise

26
Executive Options
  • Although the values of tradable options rise
    with the volatility of the underlying, the
    value of restricted employee options can actually
    fall.
  • - When ? is high, a risk averse investor is more
    likely to exercise early, possibly dominating the
    effect of ?

27
Conclusions
  • For reasonable parameters, early exercise
    reduces the time the option is alive and option
    value by more than 50
  • Employee stock options will need to be valued in
    a manner similar to that used for mortgage backed
    securities
  • Instead of valuing each mortgage in a pool
    separately, take a statistical approach in which
    the characteristics of the mortgage pool
    determine the value in different economic
    environments
  • Statistical analysis employing monte carlo
    simulations is useful here
Write a Comment
User Comments (0)
About PowerShow.com