medium · Quantitative Finance numerical

Why is the Cholesky Decomposition frequently used in multivariate Monte Carlo simulations of correlated asset prices?

  1. It ensures the simulated asset prices under the model can never turn negative.
  2. It speeds up random number generation by reducing the simulation's dimensionality.
  3. It is used instead to calculate the implied volatility of a basket of listed index options.
  4. It transforms independent random draws into draws with a target covariance structure.

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