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Karteikarten

Ch 15: The BSM Model

Melina Mackey Business/Economics Englisch 17 Karten

BSM model for option pricing

Karten in diesem Stapel (17)

  1. 1BSM model for option pricing- Predict the distributions of future share price movements to get expected payoff
    - Option price = PV(expected option payoff)
    BSM model for option pricing
  2. 2Geometric Brownian MotionStock price evolves according to a random process called GBM:
    => Stock prices evolve smoothly (no jumps)
    => Follow a log-normal distribution with mean μ and constant volatility σ
  3. 3Log-normal assumptionStock returns expressed in continuously-compounded terms are normally distributedLog-normal assumption
  4. 4Volatility assumption- Standard deviation of annual log-returns is constant
    - Can be estimated from:
    1. Historical data (historical volatility)
    2. Option prices (implied volatility)
  5. 5BSM model assumptions1. GBM
    2. Short selling permitted
    3. No taxes or transaction costs
    4. No dividends during life of the derivative
    5. No arbitrage opportunities
    6. Risk-free interest rate is constant
    7. Options are European style
  6. 6BSM propertiesAs stock price increases and volatility approaches zero:
    1. Call option more likely to be exercised
    => price of call option increases
    => d1 and d2 become larger; N(d1) and N(d2) become close to 1
    2. Put option less likely to be exercised
    => price of put option decreases
    => -d1 and -d2 become smaller and N(-d1) and N(-d2) become close to 0
  7. 7Pricing calls by replicationPricing calls by replication
  8. 8BSM call formula: interpretationBSM call formula: interpretation
  9. 9BSM put formula: interpretationBSM put formula: interpretation
  10. 10Historical volatility- Estimated from data on past stock returns
    - Volatility = std dev x √252
    Historical volatility
  11. 11Implied volatility- Estimated from prices of traded options
    - Forward-looking => represents "market" perception of volatility over option life
    - Volatility level that would make observed option prices consistent with the BSM formula, given values for the other parameters
  12. 12Introducing dividendsIntroducing dividends
  13. 13Early exercise of calls: non-dividend paying shares- Never pays to exercise early
    - Exercise if K - Ke^-rT > time value of call
    - This is never true as a call option always has time value prior to maturity
    Early exercise of calls: non-dividend paying shares
  14. 14Early exercise of calls: dividend paying shares- May pay to exercise early, (just before the ex-div day) to capture the large dividend
    - Exercise if D > K - Ke^-rT
  15. 15Early exercise of puts: non-dividend paying shares- May pay to exercise early, if interest earned on the shares sold exceeds the time value of the put
    - E.g. deep ITM put
    - Exercise if K - Ke^-rT > time value
  16. 16Early exercise of puts: dividend paying shares- May pay to exercise early, if interest earned on the shares sold exceeds the dividend
    - Exercise if K - Ke^-rT > D
  17. 17Warrants and employee stock options- Exercise of a regular call option does not affect no. company shares outstanding
    - Exercise of warrants and employee stock options leads to the company issuing more shares and selling them at K
    - As K < market price, this dilutes the interest of the existing shareholders
    - However, EMH => stock price already reflects potential dilution from outstanding warrants and employee stock options

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Business/Economics (BFC2751: Derivatives 1) Karteikarten am Ch 15: The BSM Model, erstellt von Melina Mackey am 06/06/2019.
Erstellt von
Melina Mackey
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  • Erstellt von Melina Mackey · 29 Mär 2019
  • Kopiert von Melina Mackey · 31 Mär 2019
  • Kopiert von Melina Mackey · 2 Apr 2019
  • Kopiert von Melina Mackey · 2 Apr 2019
  • Kopiert von Melina Mackey · 4 Apr 2019
  • Kopiert von Melina Mackey · 4 Jun 2019
  • Kopiert von Melina Mackey · 6 Jun 2019
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