Describe the bootstrapping method and its advantage over Monte Carlo simulation.Ģ Describe the pseudo-random number generation method and how a good simulation design alleviates the effects the choice of the seed has on the properties of the generated series.

Describe the benefits of reusing sets of random number draws across Monte Carlo experiments and how to reuse them. Explain how to use control variates to reduce Monte Carlo sampling error and when it is effective. Explain how to use antithetic variate technique to reduce Monte Carlo sampling error. Describe ways to reduce Monte Carlo sampling error. Simulation Methods Describe the basic steps to conduct a Monte Carlo simulation. 3 DESCRIBE WAYS TO REDUCE MONTE CARLO SAMPLING ERROR. Quantitative Analysis Brooks, Introductory Econometrics for Finance, 3rd Edition Bionic Turtle FRM Study Notes By David Harper, CFA FRM CIPMġ Quantitative Analysis brooks, Introductory econometrics for finance, 3rd Edition Bionic Turtle FRM Study Notes By David Harper, CFA FRM CIPM 2 brooks, Chapter 13: Simulation Methods DESCRIBE THE BASIC STEPS TO CONDUCT A MONTE CARLO SIMULATION. Describe the bootstrapping method and its advantage over Monte Carlo simulation. Quantitative Analysis brooks, Introductory econometrics for finance, 3rd Edition Bionic Turtle FRM Study Notes By David Harper, CFA FRM CIPM 2 brooks, Chapter 13: Simulation Methods DESCRIBE THE BASIC STEPS TO CONDUCT A MONTE CARLO SIMULATION. Quantitative Analysis Brooks, Introductory.

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