1 / 12

Derivatives

Derivatives. Lecture 17. Volatility. Calculate the Annualized variance of the daily relative price change Square root to arrive at standard deviation Standard deviation is the volatility. Volatility . Develop Spreadsheet Download data from internet http://finance.yahoo.com.

ankti
Download Presentation

Derivatives

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Derivatives Lecture 17

  2. Volatility • Calculate the Annualized variance of the daily relative price change • Square root to arrive at standard deviation • Standard deviation is the volatility

  3. Volatility • Develop Spreadsheet • Download data from internet http://finance.yahoo.com

  4. Implied Volatility • All variables in the option price can be observed, other than volatility. • Even the price of the option can be observed in the secondary markets. • Volatility cannot be observed, it can only be calculated. • Given the market price of the option, the volatility can be “reverse engineered.”

  5. Implied Volatility Use Numa to calculate implied volatility. Example (same option) P = 41 r = 10% PRICE = 2.67 EX = 40 t = 30 days / 365 v = ???? Implied volatility = 42.16%

  6. Implied Volatility • CBOE Example • Use Actual option • Calculate historical volatility • Calculate implied volatility http://www.math.columbia.edu/~smirnov/options13.html http://www.cboe.com http://www.numa.com

  7. Expected Returns • Given a normal or lognormal distribution of returns, it is possible to calculate the probability of having an stock price above or below a target price. • Wouldn’t it be nice to know the probability of making a profit or the probability of being “in the money?”

  8. Expected Return Steps for Infinite Distribution of Outcomes

  9. Expected Return Example (same option) P = 41 r = 10% v = .42 EX = 40 t = 30 days / 365 Example

  10. Expected Return Example (same option) P = 41 r = 10% v = .42 EX = 40 t = 30 days / 365 37% 58% $2.67 63% 40 42.67

  11. Dividends Example Price = 36 Ex-Div in 60 days @ $0.72 t = 90/365 r = 10% PD = 36 - .72e-.10(.1644) = 35.2917 Put-Call Parity Amer D+ C + S - Ps > Put > Se-rt - Ps + C + D Euro Put = Se-rt - Ps + C + D + CC

  12. Expensing Stock Options • Class discussion

More Related