What is the purpose of Monte Carlo portfolio analysis in retirement planning?

• A. Backtesting a single path.
• B. Monte Carlo analysis simulates numerous random market paths to estimate probabilities of meeting goals.
• C. It computes a fixed rate of return.
• D. It eliminates retirement risk.

Answer: (B)

Monte Carlo portfolio analysis in retirement planning focuses on estimating the probability of achieving retirement goals by exploring many possible future market scenarios rather than predicting a single outcome. It uses random sampling to create thousands of simulated market paths, incorporating variability in returns, inflation, withdrawals, and longevity. By examining the distribution of outcomes, you can see how often a given plan succeeds or fails, which helps inform decisions about spending rates, asset allocation, and savings needs. This approach captures sequence of returns risk and market volatility—factors a single, fixed projection would miss. It’s not about backtesting one path, computing a fixed rate of return, or eliminating retirement risk; it provides a probabilistic view of success under different assumptions so you can plan more robustly.