Hierarchical Risk Parity

The chart shows the growth of an initial investment of $10,000 in Hierarchical Risk Parity, comparing it to the performance of the S&P 500 index or another benchmark. All prices have been adjusted for splits and dividends. The portfolio is rebalanced Every 3 months.

As of Apr 2, 2026, the Hierarchical Risk Parity returned -0.48% Year-To-Date and 14.20% of annualized return in the last 10 years.

Based on dividend-adjusted daily data since Dec 18, 2013, Hierarchical Risk Parity's average daily return is +0.03%, while the average monthly return is +0.99%. At this rate, your investment would double in approximately 5.9 years.

Historically, 69% of months were positive and 31% were negative. The best month was Apr 2020 with a return of +6.1%, while the worst month was Mar 2020 at -3.3%. The longest winning streak lasted 13 consecutive months, and the longest losing streak was 4 months.

On a daily basis, Hierarchical Risk Parity closed higher 56% of trading days. The best single day was Dec 7, 2017 with a return of +3.5%, while the worst single day was Mar 12, 2020 at -4.1%.

Hierarchical Risk Parity has an annualized alpha of 7.66%, beta of 0.30, and R² of 0.55 versus S&P 500 Index. Calculated based on daily prices since December 18, 2013.

• This portfolio participates in less of S&P 500 Index's moves in both directions, but captures a larger share of gains (47.39%) than losses (20.12%) — typical of diversified or defensive assets.
• This portfolio generated an annualized alpha of 7.66% versus S&P 500 Index — delivering returns beyond what market exposure alone would predict.
• Beta of 0.30 indicates this portfolio moves significantly less than S&P 500 Index — a genuinely defensive profile with reduced participation in both market rallies and downturns.

Hierarchical Risk Parity has a high expense ratio of 0.97%, indicating above-average management fees. Below, you can find the expense ratios of the portfolio's funds side by side and easily compare their relative costs.

Hierarchical Risk Parity ranks 59 for risk / return — on par with similar portfolios. You're getting a typical balance of risk and reward. Not a standout, but not a red flag either — a reasonable choice if other factors align with your goals.

The Sharpe ratio helps investors understand how much return they're getting for the level of risk taken. A higher Sharpe ratio indicates better risk-adjusted performance, meaning more reward for each unit of risk.

Hierarchical Risk Parity Sharpe ratios as of Apr 2, 2026 (values are recalculated daily):

• 1-Year: 1.57
• 5-Year: 1.50
• 10-Year: 1.89
• All Time: 1.72

These values reflect how efficiently the investment has delivered returns relative to its volatility over different time periods. All figures are annualized and based on daily total returns (including price changes and dividends).

Compared to the broad market, where average Sharpe ratios range from 1.00 to 1.69, this portfolio's current Sharpe ratio falls between the 25th and 75th percentiles. This indicates that its risk-adjusted performance is in line with the majority of portfolios, suggesting a balanced approach to risk and return—likely suitable for a wide range of investors.

The chart below shows the rolling Sharpe ratio of Hierarchical Risk Parity compared to the selected benchmark. This view highlights how the investment's risk-adjusted performance has changed over time.

Hierarchical Risk Parity provided a 2.97% dividend yield over the last twelve months.

The Drawdowns chart displays portfolio losses from any high point along the way. Drawdowns are calculated considering price movements and all distributions paid, if any.

The table below displays the maximum drawdowns of the Hierarchical Risk Parity. A maximum drawdown is a measure of risk, indicating the largest reduction in portfolio value due to a series of losing trades.

The maximum drawdown for the Hierarchical Risk Parity was 11.67%, occurring on Mar 16, 2020. Recovery took 72 trading sessions.

The current Hierarchical Risk Parity drawdown is 3.11%.

The chart below shows the rolling one-month volatility.