Monte Carlo Portfolio Simulator - Web Cornucopia Finance

⚙️ Simulation Parameters

Configure your portfolio and simulation settings

Initial Portfolio Value (₹)

Time Horizon (Years)

Number of Simulations

Portfolio Composition

Asset/Stock Weight (%) Expected Return (%) Action

Portfolio Volatility (% annually)

Market Correlation Factor

📊 Simulation Results

Portfolio performance across scenarios

⏳ Ready for Simulation

Configure your portfolio and run simulation to see results

🎓 Before You Begin - Essential Learning

Master these concepts first: Monte Carlo simulation requires solid understanding of portfolio theory, risk management, and statistical analysis. Review our educational content to maximize your learning.

📊 Portfolio & Risk Management Hub

📝 Essential Blog Articles

📚 Understanding Monte Carlo Simulation

Monte Carlo simulation uses random sampling to model thousands of possible market scenarios. This helps you understand the range of potential outcomes for your portfolio, not just the expected return.

Probability Distribution: Shows likelihood of different return outcomes
Risk Assessment: Quantifies downside risk and maximum drawdown scenarios
Confidence Intervals: Provides 90%, 95%, and 99% confidence ranges
Stress Testing: Tests portfolio resilience under extreme market conditions

🎲 Monte Carlo Portfolio Simulator