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Valuing Stock Options : The Black-Scholes-Merton Model

Valuing Stock Options : The Black-Scholes-Merton Model. Chapter 13. The Lognormal Distribution: let binomial tree step become infinitely small. The Volatility. The volatility is the standard deviation of the continuously compounded rate of return in 1 year

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Valuing Stock Options : The Black-Scholes-Merton Model

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  1. Valuing Stock Options : The Black-Scholes-Merton Model Chapter 13

  2. The Lognormal Distribution: let binomial tree step become infinitely small

  3. The Volatility • The volatility is the standard deviation of the continuously compounded rate of return in 1 year • The standard deviation of the return in time Dt is

  4. 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

  5. The Concepts Underlying BSM • 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 • If short 1 option, must be long delta share • If long 1 option, must be short delta share • The portfolio is instantaneously riskless and must instantaneously earn the risk-free rate

  6. The BSM Formulas (for European options on nondividend paying shares)

  7. Delta and RNPE (risk neutral probability of exercise) Call delta = N(d1) Call RNPE = N(d2) Put delta = - N(- d1) Put RNPE = N(- d2)

  8. The N(x) Function: cumulative probability distribution of the standardized normal random variable • 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 • Tables in the book or Excel NormDist function, but this not required in exam • Questions will require that you determine the numerical value of d, say 1.2034, and then provide answer as N(1.2034)

  9. Properties of BSM Formula • As S0 becomes very large ctends to S0– Ke-rTand p tends to zero • As S0 becomes very small c tends to zero and p tends to Ke-rT– S0

  10. 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 • This is consistent with the risk-neutral valuation principle

  11. Applying Risk-Neutral Valuation 1. Assume that the expected return from an asset is the risk-free rate 2. Calculate the expected payoff from the derivative 3. Discount at the risk-free rate

  12. Valuing a Long Forward Contract with Risk-Neutral ValuationK = contractual rate • 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

  13. Implied Volatility • The implied volatility of an option is the volatility for which the Black-Scholes-Merton 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

  14. Dividends • European options on dividend-paying stocks: valued by substituting the stock price less the present value of dividends into the BSM formula (D vs. q) • 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

  15. 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

  16. Black’s Approximation for Dealing withDividends 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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