Chris Brooks, Introductory Econometrics for Finance: Simulation Methods is a 36-minute instructional video analyzing the following concepts:

* Describe the basic steps to conduct a Monte Carlo simulation.

* Describe ways to reduce Monte Carlo sampling error.

* Explain how to use antithetic variate technique to reduce Monte Carlo sampling error.

* Explain how to use control variates to reduce Monte Carlo sampling error and when it is effective.

* Describe the benefits of reusing sets of random number draws across Monte Carlo experiments and how to reuse them.

* Describe the bootstrapping method and its advantage over Monte Carlo simulation.

* 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 situations where the bootstrapping method is ineffective.

* Describe disadvantages of the simulation approach to financial problem solving.