risk_portfolio

Monte Carlo Simulation

A Monte Carlo simulation is a computerized method that uses random sampling to estimate the distribution of possible outcomes for a model. It is commonly used to assess risk and uncertainty in portfolios.

Example: In a risk model, Monte Carlo simulation might simulate 10,000 paths of monthly returns over a one-year horizon to estimate the distribution of portfolio value.

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