The risk profile, derived from past market volatility, reflects the level of risk the portfolio is exposed to. This assessment helps align your investments with your financial goals and comfort with market fluctuations.
The diversification assessment evaluates the spread of investments across asset classes, regions, and sectors. This ensures a balanced mix, reducing risk and maximizing returns by not concentrating in any single area.
Balanced Investors
This portfolio is best suited for an investor with a balanced risk tolerance, looking for growth while being mindful of volatility. The investor likely has a medium to long-term investment horizon, allowing them to weather short-term market fluctuations in pursuit of substantial growth. This individual is comfortable with a heavy allocation to equities, particularly in the U.S. market, but is also open to exploring international opportunities and emerging technologies for diversification and potential upside.
The portfolio is heavily weighted towards U.S. equities, particularly within the S&P 500, spanning growth, value, and core ETFs. This strong focus on the U.S. market is balanced by strategic allocations in emerging markets, developed international markets, and specific sectors like technology and real estate. The inclusion of thematic ETFs, such as those focusing on AI, tech, and infrastructure, alongside a small position in Bitcoin, indicates a forward-looking approach. However, the presence of highly correlated assets raises questions about the true diversification benefits of the current allocation.
With a historical Compound Annual Growth Rate (CAGR) of 23.44% and a maximum drawdown of -16.96%, the portfolio has demonstrated robust growth potential while maintaining a balanced risk profile. The days contributing most to returns highlight the portfolio's sensitivity to market highs but also underscore its resilience during downturns. This performance, especially in comparison to benchmarks, suggests a well-constructed strategy that leverages market cycles effectively.
The Monte Carlo simulation, using historical data to project future outcomes, forecasts a wide range of potential returns, with a median annualized return of 28.06%. While such simulations provide valuable insights, it's crucial to remember that they are based on past performance, which is not a reliable indicator of future results. The simulation's optimistic projections underscore the portfolio's growth potential but also highlight the need for ongoing risk management.
The portfolio's asset allocation leans heavily towards stocks (96%), with a minor allocation to 'Other' and cash, and no bond holdings. This composition aligns with a growth-oriented strategy but may expose the portfolio to higher volatility. Diversifying into bonds or other less volatile asset classes could provide a buffer against market downturns, enhancing the portfolio's risk-adjusted returns over the long term.
Sector allocation reveals a significant emphasis on technology, financial services, and industrials. This concentration in tech and cyclical sectors suggests a higher growth potential but also a higher risk, especially during economic downturns or sector-specific shocks. Broadening the sector exposure, particularly towards defensive sectors like healthcare and consumer staples, could mitigate some of this risk.
Geographic distribution shows a heavy tilt towards North America (74%), with smaller allocations in developed Europe, emerging Asia, and other regions. This U.S.-centric approach has likely contributed to the portfolio's strong performance but also increases vulnerability to regional economic trends. Expanding exposure to emerging markets and other developed regions could enhance global diversification and potentially unlock new growth avenues.
The portfolio's market capitalization breakdown—dominated by mega (44%) and big cap (33%) stocks—supports its balanced risk profile, leveraging the stability of large-cap companies while capturing growth opportunities in medium to smaller caps. However, the relatively small allocation to small and micro caps limits exposure to high-growth potential sectors, which could be incrementally increased to boost overall growth prospects.
The high correlation among several ETFs, especially those tracking the S&P 500 and related strategies, suggests redundancy that may not be contributing to portfolio diversification. Reducing overlap by consolidating similar ETFs or reallocating to less correlated assets could enhance the portfolio's efficiency, potentially reducing volatility without sacrificing expected returns.
The portfolio's dividend yield strategy is diversified, with yields ranging from 0.10% to 4.30% across different holdings. This approach contributes to the portfolio's total return, providing a steady income stream alongside capital appreciation. Given the current yield landscape, the portfolio's average yield is reasonable, but there may be opportunities to optimize income generation without significantly altering the risk profile.
With a total expense ratio (TER) averaging 0.21%, the portfolio is cost-efficient, minimizing the drag on returns from management fees. This low-cost approach is commendable, especially given the diversified asset base. Continual monitoring of fees, especially for actively managed or niche ETFs, will ensure that costs remain aligned with the value provided.
This chart shows the Efficient Frontier, calculated using your current assets with different allocation combinations. It highlights the best balance between risk and return based on historical data. "Efficient" portfolios maximize returns for a given risk or minimize risk for a given return. Portfolios below the curve are less efficient. This is informational and not a recommendation to buy or sell any assets.
The portfolio's current alignment with the Efficient Frontier suggests that it is not fully optimized for the best possible risk-return ratio. Addressing the identified issues, particularly the high correlation between assets, could lead to a more efficient portfolio. By reallocating funds from overlapping assets to underrepresented sectors, regions, or asset classes, the portfolio could achieve a higher expected return for the same level of risk.
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