CONTENTS

Exercise: Optimal Esscher tilt for an OTM call

Price the OTM call S0=100,K=150,T=1,r=0.05,σ=0.2S_0 = 100, K = 150, T = 1, r = 0.05, \sigma = 0.2 using importance sampling. The Black-Scholes price is \approx \0.6225$.

Tasks

  1. Compute z=(ln(K/S0)(rσ2/2)T)/(σT)z^* = (\ln(K/S_0) - (r - \sigma^2/2)T)/(\sigma\sqrt{T}). This is the threshold for ZZ such that ST>KS_T > K.

  2. With N=105N = 10^5 samples, compute the IS estimate using μ=z\mu = z^* (centre on the strike).

  3. Optimum search. Vary μ[z,z+2]\mu \in [z^*, z^* + 2] and find the empirical optimum. Compare with the prediction μ=z+σT\mu^* = z^* + \sigma\sqrt{T} (the optimum Esscher for a call, accounting for the linear payoff growth).
  4. Effective sample size. Compute Neff=(wi)2/wi2N_{\text{eff}} = (\sum w_i)^2/\sum w_i^2 at μ=z\mu = z^* and μ=z+2\mu = z^* + 2. Which gives higher ESS?