Portfolio Optimization: Maximizing Sharpe Ratio using Monte Carlo Simulation and Solver Just wrap...Portfolio Optimization: Maximizing Sharpe Ratio using Monte Carlo Simulation and Solver Just wrap...
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Imran Karim
• Oct 24
Portfolio Optimization: Maximizing Sharpe Ratio using Monte Carlo Simulation and Solver
Just wrapped a rigorous asset allocation model for a portfolio of six stocks using Monte Carlo Simulation and solver.
Problem Statement: How to find the most efficient allocation for an institutional-grade portfolio.
Solution: Identified the Max-Sharpe Portfolio with an Expected Annual Return of 25.95% and Volatility of 16.90% (Sharpe 1.29) using Monte Carlo Simulation.
Need a data-driven strategy for wealth management or asset allocation? Let's build your next optimal portfolio.
Wealth ManagementMicrosoft Excelquantitativefinanceinvestmentmanagement
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