Monte Carlo Simulation
📈 Investing
Quick Definition
Monte Carlo Simulation is a statistical technique used to model and understand the impact of risk and uncertainty in prediction and forecasting models.
Examples
- 1Estimating the probability of different outcomes in investment portfolios.
- 2Assessing risk in financial planning for retirement.
- 3Calculating the value at risk (VaR) for a portfolio of stocks.
- 4Forecasting future sales for a new product launch based on historical data variability.
Tags
Monte Carlo Simulationrisk assessmentforecastingstatistical analysisinvestment strategy
Quick Info
Category:Investing
Difficulty:intermediate
Last Updated:6/19/2025