1. 1 Option Pricing and Implied Volatility A Course 7 Common Core Case Study

2. 2 Preliminary Information This case study will focus on the determination of the measure of volatility used when applying the Black-Scholes option pricing formula. Historical stock price data and current market prices for selected call option contracts are available.

3. 3 Preliminary Information Two approaches to determining the stock price volatility will be considered: –estimation from historical stock prices –implied volatility from market option prices

4. 4 Preliminary Information Skills and background needed: –standard deviation estimation –a spreadsheet program with standard normal distribution cdf calculation capability –Black-Scholes call option pricing formula, described in a report from an assistant

5. 5 Background to the Problem Your employer is a company whose non-dividend paying stock trades actively on a major exchange. The company is considering offering a stock option purchase plan to its employees.

6. 6 Background to the Problem The stock options may be regarded as a taxable benefit to the employees and as a deductible expense to the company and must be valued at fair market value.

7. 7 Background to the Problem Currently traded call option contracts have a limited variety of strike prices and expiry dates and do not provide values for some combinations of strike prices and expiry dates being considered.

8. 8 The Problem You are asked to develop valuations for call options on the company’s stock for a range of strike prices and expiry dates.

9. 9 Information and Data The following information is available to you: –a report from your assistant which summarizes the standard approach for pricing call options using the Black-Scholes option pricing model –the daily closing price of your company’s stock for the past year up to today’s closing price (in spreadsheet form)

10. 10 Information and Data –today’s (Aug. 12, 1998) closing prices for call options currently being traded in the options market –current Treasury Bill yields for 13 and 26 week T-Bills

11. 11 Assistant’s Report

12. 12 Assistant’s Report All of the parameters in the formula are readily available except for . There are two approaches that can be taken to determine  : –it can be estimated from historical data –it can be estimated from prices of options currently traded in the market (the implied volatility)

13. 13 Today’s Market Information Today’s closing stock price - 18.625 Closing prices on all currently listed call option contracts – StrikeExpiry Market Price PriceDateof Call Option 15Aug. 21, 19983.875 17.5Aug. 21, 19981.5 20Aug. 21, 19980.375 20Sept. 18, 19981 20Oct. 16, 19981.5625 20Jan. 15, 19992.75 22.5Oct. 16, 19980.875

14. 14 Today’s Market Information Today’s Treasury Bill rates 13-week - 5.103% (nominal) 26-week - 5.238% (nominal)

15. 15 The Solution Estimating  From Historical Data From the spreadsheet of daily closing stock prices, we calculate the daily returns for the past year. The natural logs of successive daily returns are used to estimate  from historical data. The estimate obtained must be scaled up to an annual measure. Estimates are made using a range of historical periods ending today. The STDEV function in EXCEL can be used.

16. 16 The Solution Historical Estimates of  Estimated Volatility (Standard Deviation) 30-day0.753168 60-day0.625336 90-day0.603594 120-day0.653869 180-day0.649999 1-year0.728998

17. 17 The Solution Using The Black-Scholes Formula The quoted T-Bill rates are nominal rates that must be converted to annual continuously compounded rates. The time to maturity T is measured as a fraction of a year the number of trading days to expiry as a fraction of 252 A spreadsheet function such as NORMDIST in EXCEL can be used for the normal distribution cdf.

18. 18 The Solution Option Prices Based on Historical Estimates of  Exercise Price of 12 Expiry DatePrice –1 month6.700 –2 month6.786 –3 month7.054 –4 month7.132 –6 month7.474 –1 year8.758

19. 19 The Solution Option Prices Based on Historical Estimates of  Exercise Price of 15 Expiry DatePrice –1 month3.981 –2 month4.191 –3 month4.738 –4 month4.892 –6 month5.426 –1 year7.163

20. 20 The Solution Option Prices Based on Historical Estimates of  Exercise Price of 18.625 Expiry DatePrice –1 month1.648 –2 month1.963 –3 month2.714 –4 month2.925 –6 month3.564 –1 year6.657

21. 21 The Solution Option Prices Based on Historical Estimates of  Exercise Price of 22 Expiry DatePrice –1 month.578 –2 month.837 –3 month1.531 –4 month1.741 –6 month2.400 –1 year4.555

22. 22 The Solution Option Prices Based on Historical Estimates of  Exercise Price of 25 Expiry DatePrice –1 month.197 –2 month.360 –3 month.894 –4 month1.077 –6 month1.670 –1 year3.784

23. 23 The Solution Estimating  As The Implied Volatility Using the Black-Scholes formula with the option price known from market data, it is possible to solve for  if all other parameters are known. The solution is done by approximation. Trial and error in the spreadsheet, the bisection method or the Newton-Raphson method can be used.

24. 24 The Solution Implied Volatility Calculations StrikeExpiryImplied  1521/8/981.193 17.521/8/98.664 2021/8/98.695 2018/9/98.644 2016/10/98.654 2015/1/99.650 22.516/10/98.890

25. 25 The Solution Implied Volatility Used to Price Options The implied volatility seems to be more closely related to the option strike price than the time to maturity. This illustrates the phenomenon of the “volatility smile” seen in market pricing of options. For the four option contracts with strike price of 20 we take the average volatility. Linear interpolation is used for strike prices between those of the market priced options.

26. 26 The Solution Option Prices Based on Implied Volatility Exercise Price of 12 Expiry DatePrice –1 month7.537 –2 month8.530 –3 month9.344 –4 month10.036 –6 month11.169 –1 year13.463

27. 27 The Solution Option Prices Based on Implied Volatility Exercise Price of 15 Expiry DatePrice –1 month4.587 –2 month5.427 –3 month6.103 –4 month6.679 –6 month7.644 –1 year9.736

28. 28 The Solution Option Prices Based on Implied Volatility Exercise Price of 18.625 Expiry DatePrice –1 month1.454 –2 month2.073 –3 month2.552 –4 month2.959 –6 month3.645 –1 year5.192

29. 29 The Solution Option Prices Based on Implied Volatility Exercise Price of 22 Expiry DatePrice –1 month.741 –2 month1.453 –3 month2.040 –4 month2.550 –6 month3.419 –1 year5.383

30. 30 The Solution Option Prices Based on Implied Volatility Exercise Price of 25 Expiry DatePrice –1 month.697 –2 month1.568 –3 month2.317 –4 month2.976 –6 month4.104 –1 year6.623

31. 31 Conclusions It appears that estimates of  based on historical data may be less appropriate for use in the option pricing formula when the strike price is significantly different from the current stock price. On the other hand, implied volatility values become suspect when extrapolating beyond the range of strike prices currently being traded in the market. Correct volatility values are likely to lie somewhere between the two.