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Option Valuation

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Title: Option Valuation


1
Option Valuation
  • Lecture XXI

2
  • What is an option?
  • In a general sense, an option is exactly what its
    name implies - An option is the opportunity to
    buy or sell one share of stock or lot of
    commodity at some point in the future at some
    state price.
  • For example, a call option entitles the purchaser
    to purchase a stock or commodity in the future at
    some state price.

3
  • Assume that a call contract stated that the
    holder of the contract was entitled to purchase
    one share of IBM at 120 at some point in the
    future. Suppose further that the right cost 2
    per share. At the time the contract matured,
    suppose that the price of IBM was 130. The gain
    to the holder of the instrument would be 8. In
    other words, the investor would exercise the
    option to purchase one share of IBM at 120 and
    sell the share for 130. Hence, the investor
    would gross 10. Of this 10, the call cost 2.

4
  • On the flip side, the instrument that gives the
    bearer the right to sell a stock at a fixed price
    in the future is called a put.
  • Both of these contracts are called contingent
    claims. Specifically, the claim only has value
    contingent on certain outcomes of the economy.
  • In the call security, suppose that the market
    price for IBM was 110. The rational investor
    would choose not to exercise their right.

5
  • Exercising their right would mean purchasing a
    stock for 120 and selling it for 110 for a
    gross loss of 10 and a total loss of 12.
  • Graphically (ignoring the time value of money)
    the payoff on buying a call is

6
  • Factors affecting the price of options
  • Technically, there are two types of options a
    European option and an American Option.
  • A European option can only be exercised on the
    expiration date.
  • The American option can be exercised on any date
    up until the expiration date.

7
  • Given these differences let F(S,tT,x) denote
    the value of an American call option with stock
    price S on date t and an expiration data T for an
    exercise price of X. Given this notation
    f(S,tT,x) is the price of a European call
    option, G(S,tT,x) is the price of an American
    put option, and g(S,tT,x) is the price of the
    European put option.

8
  • Risk Neutral Propositions - Simply assume that
    investors prefer more to less.
  • Proposition 1 F(.) ? 0, G(.) ? 0, f(.) ? 0,
    g(.) ? 0.
  • Proposition 2 F(S,TT,x)f(S,TT,x)Max(S-x,0),
    G(S,TT,x)g(S,TT,x)Max(S-x,0).
  • Proposition 3 F(S,tT,x) ? S-x, G(S,tT,x) ?
    x-S.
  • Proposition 4 For T2gtT1 F(.T2,x) ? F(.T1,x),
    G(.T2,x) ? G(.T1,x).

9
  • Proposition 5 F(.) ? f(.) and G(.) ? g(.).
  • Proposition 6 For x1 gt x2 F(.,x1) ? F(.,x2) and
    f(.,x1) ? f(.,x2), and G(.,x1) ? G(.,x2) and
    g(.,x1) ? g(.,x2)
  • Proposition 7 S F(S,t?,0) ? F(S,tT,x) ?
    f(S,tT,x). The first equality involves the
    definition of a stock in a limited liability
    economy. If you purchase a stock, you purchase
    the right to sell the stock between now and
    infinity. Further, given limited liability, you
    will not sell the stock for less than zero.
  • Proposition 8 f(0,.)F(0,.)0.

10
Valuing Options
  • Intuitive Determinants of European Option Prices.
  • Three of the previous results bear restating
  • The value of a call option is an increasing
    function of the spot stock price (S).
  • The value of a call option is a decreasing
    function of the strike price (x).
  • The value of a call option is an increasing
    function of the time to maturity (T).

11
  • The value of an option is an increasing function
    of the variability of the underlying asset. To
    see this, think about imposing the probability
    density function over a zero price option

12
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13
Binomial Pricing Model
  • The simplest form of option pricing model is
    referred to as a binomial pricing model. It is
    based on a series of Bernoulli gambles.
  • A Bernoulli event is the probability distribution
    function used for a coin toss.

14
  • Assume a very simple payoff structure
  • Under the Bernoulli structure, the value of the
    payoff is y95 with probability (1-p) and y105
    with probability p.

15
  • Assume a strike price for a call option of 100.
    If the event is x1, implying that y105, the
    value of the call option is 5. However, if the
    event is x0 implying that y95, the value of
    the call option is 0.
  • The question is then How much is the call option
    worth?

16
  • If p.5, then the call option is worth 2.5. How
    much is the put option worth?
  • Again, if p.5, the put option is worth 2.5.

17
  • The binomial probability function is the sum of a
    sequence of Bernoulli events.
  • For example, if we link to coin tosses together
    we have three possible outcomes 2 heads, 2 tails
    or one head and one tail.
  • Let z be the sum of two Bernoulli events. z
    could take on the value of zero, one or two

18
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19
  • Extending the payoff formulation
  • In this case, y110 if z2 which occurs with
    probability p2, y100 if z1 which occurs with
    probability 2p(1-p), and y90 if z0 which
    occurs with probability (1-p)2.

20
  • Now the call option is worth
  • which again equals 2.5 if p.5. The call option
    for a strike price of 95 is now
  • which equals 6.25 if p.5.

21
Binomial Distribution
22
  • Mathematically, the probability of r heads out
    of n draws becomes

23
Black-Scholes
  • The Black-Scholes pricing model extends the
    binomial distribution to continuos time.
  • The derivation of the Black-Scholes model is
    beyond this course. However, the formula for
    pricing a call option is

24
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25
  • where S is the price of the asset (stock price),
    X is the exercise price, rf is the riskless
    interest rate, and T is the time to expiration.
    N(.) is the integral of the normal density
    function

26
  • Example
  • Assume that the current stock price is 50,
  • the exercise price of the American call option
    is 45,
  • the riskless interest rate is 6 percent,
  • and the option matures in 3 months.

27
  • Given that the interest rate is specified as an
    annual interest rate, T is implicitly in years.
    3 months is then ¼ of a year.
  • In addition, we need an estimate of s consistent
    with this increment in time. Assume it to be .2.
  • The two constants can then be computed as

28
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29
  • The two N(.) can be derived from a standard
    normal table as N(d1).742 and N(d2).6651.
    Plugging these values back into the option
    formula yields a call price of 7.62.

30
Option Value of Investments
  • Moss, Pagano, and Boggess. Ex Ante Modeling of
    the Effect of Irreversibility and Uncertainty on
    Citrus Investments.
  • Traditional courses in financial management state
    that an investment should be undertaken if the
    Net Present Value of the investment is positive.
  • However, firms routinely fail to make investments
    that appear profitable considering the time value
    of money.

31
  • Several alternative explanation for this
    phenomenon have been proposed. However, the most
    fruitful involves risk.
  • Integrating risk into the decision model may take
    several forms from the Capital Asset Pricing
    Model to stochastic net present value.
  • However, one avenue which has gained increased
    attention during the past decade is the notion of
    an investment as an option.

32
  • Several characteristics of investments make the
    use of option pricing models attractive.
  • In most investments, investors can be construed
    to have limited liability with the distribution
    being truncated at the loss the the entire
    investment.
  • Alternatively, Dixit and Pindyck have pointed out
    that the investment decision is very seldomly a
    now or never decision. The decision maker may
    simply postpone exercising the option to invest.

33
  • Derivation of the value of waiting
  • As a first step in the derivation of the value of
    waiting, we consider an asset whose value changes
    over time according to a geometric Brownian
    motion stochastic process

34
  • Given the stochastic process depicting the
    evolution of asset values over time, we assume
    that there exists a perfectly correlated asset
    that obeys a similar process

35
  • Comparing the two stochastic processes leads to a
    comparison of a and m.
  • The relationship between these two values gives
    rise to the execution of the option.
  • Defining dm-a to the the dividend associated
    with owning the asset. a is the capital gain
    while m operating return.
  • If d is less than or equal to zero, the option
    will never be exercised. Thus, d gt0 implies that
    the operating return is greater than the capital
    gain on a similar asset.

36
  • Next, we construct a riskless portfolio
    containing one unit of the option to some level
    of short sale of the original asset
  • P is the value of the riskless portfolio, F(V)
    is the value of the option, and FV(V) is the
    derivative of the option price with respect to
    value of the original asset.

37
  • Dropping the Vs and differentiating the riskfree
    portfolio we obtain the rate of return on the
    portfolio. To this differentiation, we append
    two assumption
  • The rate of return on the short sale over time
    must be -d V (the short sale must pay at least
    the expected dividend on holding the asset).
  • The rate of return on the riskfree portfolio must
    be equal to the riskfree return on capital
    r(F-FVV).

38
  • Combining this expression with the original
    geometric process and applying Itos Lemma we
    derive the combined zero-profit and zero-risk
    condition
  • In addition to this differential equation we
    have three boundary conditions

39
  • The solution of the differential equation with
    the stated boundary conditions is

40
  • b then simplifies to

41
  • Estimating b
  • In order to incorporate risk into an investment
    decision using the Dixit and Pindyck approach we
    must estimate s.
  • This one approach to estimating s is through
    simulation. Specifically, simulating the
    stochastic Net Present Value of an investment as

42
  • Converting this value to an infinite streamed
    investment then involves

43
  • The parameters of the stochastic process can then
    be estimated by

44
  • Application to Citrus
  • The simulated results indicate that the present
    value of orange production was 852.99/acre with
    a standard deviation of 179.88/acre.
  • Clearly, this investment is not profitable given
    an initial investment of 3,950/acre.
  • The average log change based on 7500 draws was
    .0084693 with a standard deviation of .0099294.

45
  • Assuming a mean of the log change of zero, the
    computed value of b is 25.17 implying a b/(b-1)
    of 1.0414.
  • Hence, the risk adjustment raises the hurdle rate
    to 4113.40. Alternatively, the value of the
    option to invest given the current scenario is
    163.40.
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