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Portfolio Experiment
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


VFV.TO 50.00%XEQT.TO 30.00%XEI.TO 10.00%XID.TO 5.00%VGRO.TO 5.00%EquityEquityMulti-AssetMulti-Asset

S&P 500 Index

Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in Portfolio Experiment, 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.


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The earliest data available for this chart is Aug 14, 2019, corresponding to the inception date of XEQT.TO

Returns By Period


1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.11%-2.33%-3.84%-1.98%29.73%16.86%10.37%12.29%
Portfolio
Portfolio Experiment
-0.00%-2.03%-1.10%1.32%32.23%16.93%10.67%
VFV.TO
Vanguard S&P 500 Index ETF
0.06%-2.48%-3.56%-1.45%31.02%18.20%11.65%13.86%
XEQT.TO
iShares Core Equity ETF Portfolio
-0.18%-1.76%0.29%2.59%36.30%17.08%9.72%
XEI.TO
iShares S&P/TSX Composite High Dividend Index ETF
0.47%0.86%12.92%16.67%48.41%17.05%12.99%11.36%
XID.TO
iShares India Index ETF
-0.37%-6.68%-14.39%-10.86%-6.41%3.35%2.22%6.63%
VGRO.TO
Vanguard Growth ETF Portfolio
-0.14%-2.10%-0.08%2.20%29.39%13.68%7.25%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Aug 15, 2019, Portfolio Experiment's average daily return is +0.06%, while the average monthly return is +1.16%. At this rate, your investment would double in approximately 5.0 years.

Historically, 68% of months were positive and 32% were negative. The best month was Nov 2020 with a return of +12.2%, while the worst month was Mar 2020 at -16.0%. The longest winning streak lasted 11 consecutive months, and the longest losing streak was 3 months.

On a daily basis, Portfolio Experiment closed higher 56% of trading days. The best single day was Mar 24, 2020 with a return of +9.1%, while the worst single day was Mar 12, 2020 at -10.4%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20261.87%1.48%-5.04%0.75%-1.10%
20252.49%-0.88%-3.40%0.77%5.54%4.58%1.12%2.52%3.25%1.94%1.13%0.10%20.56%
20240.64%3.83%3.27%-3.72%4.57%1.87%2.19%2.39%2.27%-1.76%4.99%-3.50%17.90%
20236.80%-3.05%2.58%1.98%-1.08%5.87%3.08%-2.32%-4.25%-2.97%8.99%5.11%21.56%
2022-3.51%-2.15%3.38%-7.91%0.73%-8.47%7.50%-3.92%-9.24%7.34%6.43%-5.47%-16.09%
2021-0.43%3.42%4.19%4.35%2.25%1.27%1.33%2.59%-3.74%6.29%-2.09%4.00%25.57%

Benchmark Metrics

Portfolio Experiment has an annualized alpha of 1.13%, beta of 0.90, and R² of 0.93 versus S&P 500 Index. Calculated based on daily prices since August 15, 2019.

  • This portfolio participates in less of S&P 500 Index's moves in both directions, but captures a larger share of gains (93.29%) than losses (92.72%) — typical of diversified or defensive assets.
  • With beta of 0.90 and R² of 0.93, this portfolio moves broadly in line with S&P 500 Index — much of its variation is explained by market exposure rather than independent behavior.

Alpha
1.13%
Beta
0.90
0.93
Upside Capture
93.29%
Downside Capture
92.72%

Expense Ratio

Portfolio Experiment has an expense ratio of 0.19%, which is considered low. Below, you can find the expense ratios of the portfolio's funds side by side and easily compare their relative costs.


Return for Risk

Risk / Return Rank

Portfolio Experiment ranks 54 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.


Portfolio Experiment Risk / Return Rank: 5454
Overall Rank
Portfolio Experiment Sharpe Ratio Rank: 5050
Sharpe Ratio Rank
Portfolio Experiment Sortino Ratio Rank: 5151
Sortino Ratio Rank
Portfolio Experiment Omega Ratio Rank: 5757
Omega Ratio Rank
Portfolio Experiment Calmar Ratio Rank: 4646
Calmar Ratio Rank
Portfolio Experiment Martin Ratio Rank: 6565
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

Return / Risk — by metrics


PortfolioBenchmarkDifference

Sharpe ratio

Return per unit of total volatility

1.24

0.88

+0.36

Sortino ratio

Return per unit of downside risk

1.83

1.37

+0.46

Omega ratio

Gain probability vs. loss probability

1.28

1.21

+0.07

Calmar ratio

Return relative to maximum drawdown

1.82

1.39

+0.43

Martin ratio

Return relative to average drawdown

9.25

6.43

+2.82


How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.

Risk / Return RankSharpe ratioSortino ratioOmega ratioCalmar ratioMartin ratio
VFV.TO
Vanguard S&P 500 Index ETF
500.921.421.221.446.81
XEQT.TO
iShares Core Equity ETF Portfolio
731.392.011.302.109.88
XEI.TO
iShares S&P/TSX Composite High Dividend Index ETF
973.324.271.714.1526.74
XID.TO
iShares India Index ETF
2-0.68-0.940.89-0.50-1.62
VGRO.TO
Vanguard Growth ETF Portfolio
741.422.051.302.159.82

Sharpe Ratio

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.

Portfolio Experiment Sharpe ratios as of Apr 4, 2026 (values are recalculated daily):

  • 1-Year: 1.24
  • 5-Year: 0.70
  • All Time: 0.72

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 0.99 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 Portfolio Experiment compared to the selected benchmark. This view highlights how the investment's risk-adjusted performance has changed over time.


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Dividends

Dividend yield

Portfolio Experiment provided a 2.28% dividend yield over the last twelve months.


TTM20252024202320222021202020192018201720162015
Portfolio2.28%2.21%1.75%1.84%2.04%1.81%1.76%1.73%1.50%1.18%1.29%1.40%
VFV.TO
Vanguard S&P 500 Index ETF
0.96%0.92%0.99%1.20%1.31%1.06%1.33%1.55%1.68%1.50%1.66%1.63%
XEQT.TO
iShares Core Equity ETF Portfolio
1.64%1.66%2.01%2.07%2.12%1.64%1.66%1.19%0.00%0.00%0.00%0.00%
XEI.TO
iShares S&P/TSX Composite High Dividend Index ETF
3.88%4.39%5.45%4.98%4.68%3.58%5.03%4.62%5.42%4.29%4.42%5.64%
XID.TO
iShares India Index ETF
16.51%14.32%0.17%0.42%3.45%6.82%0.03%0.43%0.39%0.16%0.36%0.36%
VGRO.TO
Vanguard Growth ETF Portfolio
1.86%1.88%2.01%2.13%2.14%1.80%1.77%2.17%2.09%0.00%0.00%0.00%

Drawdowns

Drawdowns Chart

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.


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Worst Drawdowns

The table below displays the maximum drawdowns of the Portfolio Experiment. 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 Portfolio Experiment was 36.48%, occurring on Mar 23, 2020. Recovery took 110 trading sessions.

The current Portfolio Experiment drawdown is 4.87%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-36.48%Feb 20, 202023Mar 23, 2020110Aug 28, 2020133
-22.99%Jan 5, 2022194Oct 12, 2022296Dec 14, 2023490
-15.49%Feb 20, 202534Apr 8, 202527May 16, 202561
-8.32%Sep 3, 202014Sep 23, 202032Nov 9, 202046
-8.05%Feb 26, 202623Mar 30, 2026

Volatility

Volatility Chart

The chart below shows the rolling one-month volatility.


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Diversification

Diversification Metrics


Number of Effective Assets

The portfolio contains 5 assets, with an effective number of assets of 2.82, reflecting the diversification based on asset allocation. This number of effective assets suggests a highly concentrated portfolio, where a few assets dominate the allocation, potentially increasing the portfolio's risk due to lack of diversification.

Asset Correlations Table

The table below displays the correlation coefficients between the individual components of the portfolio, the entire portfolio, and the chosen benchmark.

BenchmarkXID.TOXEI.TOVFV.TOXEQT.TOVGRO.TOPortfolio
Benchmark1.000.480.630.970.890.890.95
XID.TO0.481.000.450.490.550.570.57
XEI.TO0.630.451.000.630.780.810.76
VFV.TO0.970.490.631.000.910.900.97
XEQT.TO0.890.550.780.911.000.970.97
VGRO.TO0.890.570.810.900.971.000.97
Portfolio0.950.570.760.970.970.971.00
The correlation results are calculated based on daily price changes starting from Aug 15, 2019