Quantitative modeling and simulationsPrompt 064
Run a bootstrap analysis
Tests how distribution assumptions change conclusions.
Ready to ask
Prompt text
“Use block bootstrap resampling of historical returns to estimate the distribution of long-term outcomes while preserving some serial dependence. Compare results with a normal-distribution Monte Carlo and explain the difference.”
Context Silvia can use
Historical returns and simulation parameters.
What a strong answer includes
Model comparison with methodology notes.
Useful follow-ups
- Use multiple block lengths.
- Compare success rates and tail losses.
Ask Silvia about your actual financial life
Connect the relevant accounts, add the goal or constraint that matters, and ask Silvia to show the evidence and assumptions behind the answer.