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Karteikarten

Ch 21: Basic Numerical Procedures

Melina Mackey Business/Economics Englisch 8 Karten

Ch 21: Basic Numerical Procedures

Karten in diesem Stapel (8)

  1. 1Numerical procedures- For American plain vanilla options and some exotics, there is no analytical pricing formula
    - Use numerical procedures to approximate the value
    - E.g. trees, Monte Carlo simulation, finite differencing
  2. 2Binomial tree pricing: American options1. Construct the Cox-Ross-Rubinstein (CRR) stock price tree
    2. Compute risk-neutral probability, p
    3. Compute option price at final nodes
    4. Work backwards to obtain option prices at intermediate nodes then at initial node
    5. Value at each intermediate node = max(continuation value, exercise value)
  3. 3Binomial tree pricing: stock indices and currencies- For stock index, q = dividend yield on the stock portfolio underlying the index
    - For currency, q = risk-free rate in foreign currency
    Binomial tree pricing: stock indices and currencies
  4. 4Binomial tree pricing: options on assets that pay discrete dividends- Naïve approach: if we adjust downward prices for the nodes that occur after ex-div date, the tree won't recombine
    - Instead, construct a tree with the initial price S* = S0 - PV(future dividends), and then back the dividends for the nodes occurring before ex-div date
  5. 5Estimating delta and gamma- For European options, analytical formula for delta is N(d1)/-N(-d1)
    - For American options, use the CRR tree to approximate
    Estimating delta and gamma
  6. 6Monte Carlo simulation: European vs Asian options- For European options, simulate a large number of ST using the GBM assumption and risk-neutral valuation
    - For Asian options, simulate a large number of paths (not the terminal value)
  7. 7Monte Carlo simulation: antithetic variable technique- Reduces the computational cost and standard error of the estimate
    - Use epsilon and -epsilon to calculate f1and f2, then take the average and repeat for n samples
  8. 8Monte Carlo simulation: advantages and disadvantages- Key advantage: use when payoff depends on path of S or complicated function of ST
    - Key drawback: cannot easily handle early exercise situations (simulations move forward from 0 to T, so at each point in time, we cannot determine if early exercise is optimal as the range of paths after that point has not been investigated)

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Business/Economics (BFC3340: Derivatives 2) Karteikarten am Ch 21: Basic Numerical Procedures, erstellt von Melina Mackey am 14/10/2019.
Erstellt von
Melina Mackey · Okt 2019
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15 Okt 2019
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  • Erstellt von Melina Mackey · 4 Okt 2019
  • Kopiert von Melina Mackey · 4 Okt 2019
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  • Kopiert von Melina Mackey · 12 Okt 2019
  • Kopiert von Melina Mackey · 14 Okt 2019
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