MONTE CARLO SIMULATION

At IXM Capital Management, we employ Monte Carlo analysis as a cornerstone of our risk management strategy. This advanced statistical technique simulates thousands of potential market scenarios, allowing us to model the range of possible outcomes for our investment strategies. Monte Carlo analysis provides a robust framework for stress-testing our portfolio performance under diverse market conditions.

Our process leverages a 95% confidence interval, meaning that 95% of the simulated outcomes fall within a predicted range of performance. For investors, this confidence level translates to a highly reliable risk assessment for resilience in adverse market conditions.

• By integrating Monte Carlo analysis into our proprietary systems, we offer investors a deeper assurance that their capital is managed with precision, foresight, and accountability.

Source: Amibroker. This Diagram is the Monte Carlo Simulation of the IXM Cardinal Fund ‘s Out-of-Sample Walk-Forward Analysis since 2009 as a simulated result.