24:40 duration 24 minutes 40 seconds
Lecture 6.1: Variance Reduction Techniques
• Importance sampling. • Stratification and Latin Hypercube Sampling, some words on Quasi-Monte Carlo. • Examples: application to some common financial contracts.
34:58 duration 34 minutes 58 seconds
Lecture 5-2: Variance Reduction Techniques
• Principles and rationale. • Control Variates
01:41:27 duration 1 hour 41 minutes
Lectures 53-54: variance reduction techniques
Variance reduction techniques: control variables, antithetic variables,importance sampling. Implementation in VBA.
20:43 duration 20 minutes 43 seconds
Lecture 48: the Monte Carlo method
The Monte Carlo method. Monte Carlo estimator and error.
54:47 duration 54 minutes 47 seconds
Lecture 11: Stochastic integrals and conditioning
The partition property. Covariance and conditional covariance of stochastic integrals.