Shared Report

The portfolio value growth analysis tracks the change in the total value of the investment portfolio over time. It takes into account the initial investment and optionally simulates cash flow scenarios like fixed contributions, fixed withdrawals, or percentage withdrawals..

This analysis helps investors understand how their portfolio has performed historically and can be used to assess whether the portfolio is on track to meet long-term financial goals.

Portfolio Value Growth

Portfolio Value Growth Table

The asset analysis provides insights on individual assets within the investment portfolio, including, performance and risk metrics, correlations between assets and the overall asset allocation strategy.

Diversification plays a critical role in portfolio construction, because the risk of the portfolio is not defined by the average riskiness of its underlying assets but by the extent to which they move together - their correlations.

Asset Allocation Pie Chart

Asset Comparison Table

The performance analysis examines historical data to assess the returns of the investment strategy, including key metrics such as Cumulative returns, End of Year (EoY) returns, and risk-adjusted returns like the Sharpe ratio or the Sortino ratio.

Cumulative Returns

End of Year Returns Table

End of Year Returns

The risk analysis refers to an assessment of potential negative events that could lead to a loss of capital. Conducting a risk analysis can help in deciding whether an investment should be made. This is done using risk metrics such as drawdowns, volatility and beta which reflect stakeholders' confidence in the consistency of an investment strategy.

Drawdowns

Drawdowns Table

The Monte Carlo simulation is a statistical method used to forecast portfolio returns by generating a wide range of potential outcomes through random sampling from historical asset price data. It helps investors assess the potential risk and return of a portfolio under various market conditions. The simulation takes into account the initial investment and optionally simulates cash flow scenarios like fixed contributions, fixed withdrawals, or percentage withdrawals.

IMPORTANT: The forecast generated through Monte Carlo simulations is purely hypothetical and does not guarantee future returns. Investment decisions should be made with consideration of various factors, and past performance is not indicative of future results.

Monte Carlo Metrics

Simulated Portfolio Prices

The Efficient Frontier is a set of optimal portfolios that offer the highest expected return for a given level of risk that deliver the best (or the lowest risk for a given return), based on the Mean-Variance Model developed by Harry Markowitz. These portfolios balance the trade-off between risk and return. Any portfolio on the Efficient Frontier is considered superior to those below it, as it provides better returns for the same level of risk

Efficient Frontier