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The Black-Scholes-Merton Model Chapter 13 1. B-S-M model is used to determine the option price of any underlying stock. They believed that stock follow.

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Presentation on theme: "The Black-Scholes-Merton Model Chapter 13 1. B-S-M model is used to determine the option price of any underlying stock. They believed that stock follow."— Presentation transcript:

1 The Black-Scholes-Merton Model Chapter 13 1

2 B-S-M model is used to determine the option price of any underlying stock. They believed that stock follow a random walk. Proportional changes in the stock price(relative return) in a short period of time is normally distributed and stock price at any future time is lognormal distributed. 2 The Black-Scholes-Merton Model

3 Stock return have log normal distribution Determine the price change over an period not at the end of period. Stock price follow random walk, next movement of price is completely independent of past prices. For longer horizon, there can be upward and downward movement but not hold for very small period like daily or hourly periods. pure random Returns are measured by price relative; ratio of the price at two successive time intervals rather than absolute value. To measure it, we need to assume continuous compounding and we take natural log. Options, Futures, and Other Derivatives, 7th Edition, Copyright © John C. Hull 20083

4 4 The Stock Price Assumption Consider a stock whose price is S In a short period of time of length  t, the return on the stock is normally distributed: where  is expected return and  is volatility

5 Stock return have log normal distribution We consider the distribution of the logarithm of the return relative rather than the distribution of stock price? We know stock price cant not be negative. Minimum value is 0 and loss cant exceed 100%. So assuming stock price normally distributed will consider negative value also which is simply wrong. A log normal distribution fits the description as it consider only positive value. So as an alternative we may imagine the distribution of log return. If log return are ND, then distribution of the stock price will be log normal. 5

6 6 The Lognormal Property It follows from this assumption that Since the logarithm of S T is normal, S T is lognormally distributed

7 Options, Futures, and Other Derivatives, 7th Edition, Copyright © John C. Hull 20087

8 The Lognormal Distribution

9 Assumptions of the Black and Scholes Model: The stock pays no dividends during the option's life European exercise terms are used means option can only be exercised on the expiration date Markets are efficient suggests that people cannot consistently predict the direction of the market or an individual stock. Interest rates remain constant and known Returns are lognormally distributed. this assumption suggests, returns on the underlying stock are normally distributed, which is reasonable for most assets that offer options. 9

10 Continuously Compounded Return (Equations 13.6 and 13.7), page 279) If x is the continuously compounded return. 10

11 11 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

12 12 The Black-Scholes Formulas (See pages 291-293)

13 13 The N(x) Function N(d1) It is the delta of the option which represents the fraction of stock bought for each call written. Fraction of stock owned. It is the probability that the expected value in risk neutral world, using the risk-free interest rate, of the expected asset price at expiration St at time T. N(d2) is the strike price times the probability that the strike price will be paid in a risk neutral world. It is the probability of call becoming ITM that is spot price exceeding the strike price. The expected value of cash outflow is

14 14 Properties of Black-Scholes Formula As S 0 becomes very large c tends to S 0 – Ke -rT and p tends to zero As S 0 becomes very small c tends to zero and p tends to Ke -rT – S 0 When volatility approaches zero, d1 and d2 tends to infinite and standard normal become 1

15 15 Implied Volatility The implied volatility of an option is the volatility for which the Black-Scholes price equals the market price. This is the volatility implied by an option price observed in the market. Implied volatility shows the market’s opinion of the stock’s potential moves, but it doesn’t forecast direction. If the implied volatility is high, the market thinks the stock has potential for large price swings in either direction, Implied volatility often tends to be higher for out-the-money (OTM) and in-the-money (ITM) options compared to at-the-money. Composite implied volatility for the stock is calculated by taking a suitable weighted average of the individual implied volatility of various options Since most option trading volume usually occurs in at-the-money (ATM) options, these are the contracts generally used to calculate IV. Once we know the price of the ATM options, we can use an options pricing model and a little algebra to solve for the implied volatility.

16 Options, Futures, and Other Derivatives, 7th Edition, Copyright © John C. Hull 200816

17 Options, Futures, and Other Derivatives, 7th Edition, Copyright © John C. Hull 200817

18 18 Dividends The “dividend” should be the expected reduction in the stock price and call option price expected European options on dividend-paying stocks are valued by substituting the stock price less the present value of dividends into Black-Scholes The stock’s price goes down by an amount reflecting the dividend per share. The effect of this is to reduce the value of calls and to increase the value of puts.

19 19 Dividends Adjusting stock price with the dividend would result in. q is dividend yield (compounding basis)

20 20 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 Suppose dividend dates are at times t 1, t 2, … t n. Early exercise is sometimes optimal at time t i if the dividend at that time is greater than


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