1. The Black-Scholes-Merton Model
Chapter 12
The Black-Scholes-Merton Model
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2. The Stock Price Assumption
Consider a stock whose price is S
dS=μSdt+σSdz
dS/S= μdt+σdz
? dlnS= μdt+σdz No.
From Ito’s lemma,
dlnS= (μ- σ2/2)dt+σdz
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3. The Lognormal Property
It follows from this assumption that
Since the logarithm of ST is normal, ST is lognormally distributed
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4. The Lognormal Distribution
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Financial Engineering

5. Continuously Compounded Return (Equations 13.6 and 13.7), page 279)
If x is the continuously compounded return

6. Financial Engineering
The Expected Return
The expected value of the stock price is S0emT
The expected return on the stock is
m – s2/2
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Financial Engineering

7. Financial Engineering
m and m−s2/2
Suppose we have daily data for a period of several months
m is the average of the returns in each day [=E(DS/S)]
m−s2/2 is the expected return over the whole period covered by the data measured with continuous compounding (or daily compounding, which is almost the same)
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Financial Engineering

8. Mutual Fund Returns (See Business Snapshot 13.1 on page 281)
Suppose that returns in successive years are 15%, 20%, 30%, -20% and 25%
The arithmetic mean of the returns is 14%
The returned that would actually be earned over the five years (the geometric mean) is 12.4%
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Financial Engineering

9. Financial Engineering
The Volatility
The volatility of an asset is the standard deviation of the continuously compounded rate of return in 1 year
The standard deviation of the return in time Dt is
If a stock price is $50 and its volatility is 25% per year what is the standard deviation of the price change in one day?
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Financial Engineering

10. Estimating Volatility from Historical Data
1. Take observations S0, S1, , Sn at intervals of t years
2. Define:
3. Calculate the standard deviation, s , of the ui ´s
4. The historical volatility estimate is:
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Financial Engineering

11. 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

12. 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 and the option which eliminates this source of uncertainty
The portfolio is instantaneously riskless and must instantaneously earn the risk-free rate
This leads to the Black-Scholes differential equation
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Financial Engineering

13. Assumptions of BS Formula
The short-term interest rate is known and is constant through time.
The stock price follows a random walk in continuous time with a variance rate proportional to the square of the stock price.Thus the distribution of stock prices is lognormal. The variance rate of the return on the stock is constant.
The sock pays no dividends.
The option is “European”.
There are no transaction costs.
It’s possible to borrow money to buy stocks.
There are no penalties to short selling.
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Financial Engineering

14. 1 of 3: The Derivation of the Black-Scholes Differential Equation
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15. 2 of 3: The Derivation of the Black-Scholes Differential Equation
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16. 3 of 3: The Derivation of the Black-Scholes Differential Equation
The return on the portfolio must be the risk-free rate. Hence
We substitute for and in these equations to get the Black-Scholes differential equation:
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Financial Engineering

17. The Differential Equation
Any security whose price is dependent on the stock price satisfies the differential equation
The particular security being valued is determined by the boundary conditions of the differential equation
In a forward contract the boundary condition is ƒ = S – K when t =T
The solution to the equation is
ƒ = S – K e–r (T – t )
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Financial Engineering

18. Risk-Neutral Valuation
The variable m does not appear in the Black-Scholes equation
The equation is independent of all variables affected by risk preference
The solution to the differential equation is therefore the same in a risk-free world as it is in the real world
This leads to the principle of risk-neutral valuation
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Financial Engineering

19. Applying Risk-Neutral Valuation
1. Assume that the expected return from the stock price is the risk-free rate
2. Calculate the expected payoff from the option
3. Discount at the risk-free rate
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Financial Engineering

20. Valuing a Forward Contract with Risk-Neutral Valuation
Payoff is ST – K
Expected payoff in a risk-neutral world is S0erT – K
Present value of expected payoff is
e-rT[S0erT – K]=S0 – Ke-rT

21. The Black-Scholes Formulas
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Financial Engineering

22. The N(x) Function
N(x) is the probability that a normally distributed variable with a mean of zero and a standard deviation of 1 is less than x
See tables at the end of the book

23. Properties of Black-Scholes Formula
As S0 becomes very large c tends to
S0 – Ke-rT and p tends to zero
As S0 becomes very small c tends to zero and p tends to Ke-rT – S0

24. Financial Engineering
BS公式的推导（1）
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Financial Engineering

25. Financial Engineering
BS公式的推导（2）
将上述对ST的积分转换成对Q的积分，有：
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26. Financial Engineering
BS公式的推导（3）
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Financial Engineering

27. Financial Engineering
BS公式的解释
S0N(d1)是Asset-or-noting call option的价值，-e-rTXN(d2)是X份cash-or-nothing看涨期权空头的价值。
N(d2)是在风险中性世界中期权被执行的概率，或者说ST大于X的概率， e-rTXN(d2)是X的风险中性期望值的现值。 S0N(d1)是得到ST的风险中性期望值的现值。
是复制交易策略中股票的数量，S0N（d1)就是股票的市值， -e-rTXN(d2)则是复制交易策略中负债的价值。
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28. Financial Engineering
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
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Financial Engineering

29. Financial Engineering
Causes 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
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30. The VIX S&P500 Volatility Index
Chapter 24 explains how the index is calculated

31. Financial Engineering
Warrant Valuation
The analysis of warrants is much more complicated than that of options, because:
The life of a warrant is typically measured in years, rather than in months, so the variance rate may change substantially.
The Exercise price of the warrant is usually not adjusted at all for dividends.
The exercise price of a warrant sometimes changes on specified dates.
If the company is involved in a merger, the adjustment that is made in the terms of the warrant may change its value.
The exercise of a large number of warrants may sometimes result in a significant increase in the number of common shares outstanding.
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32. Financial Engineering
Warrants & Dilution
When a regular call option is exercised the stock that is delivered must be purchased in the open market
When a warrant is exercised new stock is issued by the company
If little or no benefits are foreseen by the market the stock price will reduce at the time the issue of is announced.
There is no further dilution (See Business Snapshot 13.3.)
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33. Financial Engineering
Warrant Valuation
某公司有N股普通股和M份欧式认股权证,每份权证可以在T时刻按每股X价格购买b股股票.令S表示公司股票价格，则认股权证被行使后股票的除权价格为:
认股权证持有者的回报为:
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34. Financial Engineering
Dividends
European options on dividend-paying stocks are valued by substituting the stock price less the present value of dividends into Black-Scholes
Only dividends with ex-dividend dates during life of option should be included
The “dividend” should be the expected reduction in the stock price expected
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35. Financial Engineering
American Calls
An American call on a non-dividend-paying stock should never be exercised early
An American call on a dividend-paying stock should only ever be exercised immediately
prior to an ex-dividend date
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Financial Engineering

36. Black’s Approach to Dealing with Dividends in American Call Options
Set the American price equal to the maximum of two European prices:
1. The 1st European price is for an option maturing at the same time as the American option
2. The 2nd European price is for an option maturing just before the final ex-dividend date
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