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FRM Part I · FRM Exam Part I · Simulation and Bootstrapping

Two simulation designs estimate the same expected value with the same 10,000 draws. Design A uses plain independent draws, whose payoff variance is 64. Design B uses a variance reduction technique that lowers the payoff variance to 16 with the same number of draws and no extra cost. What is the ratio of Design B's standard error to Design A's?

The ratio is 0.50. Design A's standard error is 8 divided by 100, or 0.08, and Design B's is 4 divided by 100, or 0.04. Standard error depends on the square root of variance, so a fourfold variance cut only halves it.

  1. A0.25
  2. B0.50Correct
  3. C4.00
  4. D0.0625

Explanation

Standard error = sqrt(variance/N). A: sqrt(64/10,000) = 0.08. B: sqrt(16/10,000) = 0.04. Ratio = 0.04/0.08 = 0.50. The option 0.25 is the variance ratio, mistakenly used as the standard error ratio.

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