CONTENTS

Exercise: Antithetic variance ratio for ATM call

For the ATM call S0=K=100,T=1,r=0.05,σ=0.2S_0 = K = 100, T = 1, r = 0.05, \sigma = 0.2:

Tasks

  1. With N=10,000N = 10{,}000 pairs, compute the discounted payoffs at ZZ and Z-Z for each pair. Estimate ρ=Corr(f(Z),f(Z))\rho = \text{Corr}(f(Z), f(-Z)) from the sample.

  2. Predict the variance reduction factor as (1+ρ)/2(1 + \rho)/2 relative to plain MC at the same total compute (same NN payoff evaluations).

  3. Verify the prediction by computing the variance of the antithetic estimator and the variance of plain MC at N=20,000N = 20{,}000 samples (same compute as N=10,000N = 10{,}000 pairs).

  4. Repeat for varying moneyness. K{50,75,100,125,150}K \in \{50, 75, 100, 125, 150\}. Plot ρ\rho as a function of K/S0K/S_0. Where is antithetic most effective? Where does it stop helping?