Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
IDMO Invesco S&P International Developed Momentum ETF | Momentum, Foreign Large Cap Equities | 50% |
SPMO Invesco S&P 500 Momentum ETF | Momentum, S&P 500 | 50% |
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Performance Chart
The chart shows the growth of an initial investment of $10,000 in Momentum, 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 year.
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Returns By Period
As of Jun 9, 2026, the Momentum returned 14.79% Year-To-Date and 16.34% of annualized return in the last 10 years.
| Position | 1D | 1M | YTD | 6M | 1Y | 3Y* | 5Y* | 10Y* |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | 0.30% | 0.09% | 8.18% | 8.17% | 23.42% | 19.88% | 11.91% | 13.45% |
Portfolio Momentum | 1.65% | -0.32% | 14.79% | 16.18% | 29.45% | 32.70% | 19.36% | 16.34% |
| Portfolio components: | ||||||||
IDMO Invesco S&P International Developed Momentum ETF | 0.67% | -3.78% | 5.33% | 8.93% | 19.27% | 24.47% | 15.15% | 12.02% |
SPMO Invesco S&P 500 Momentum ETF | 2.50% | 2.83% | 24.29% | 22.86% | 39.53% | 40.28% | 23.06% | 20.38% |
Monthly Returns
Based on dividend-adjusted daily data since Oct 12, 2015, Momentum's average daily return is +0.06%, while the average monthly return is +1.27%. At this rate, an investment would double in approximately 4.6 years.
Historically, 67% of months were positive and 33% were negative. The best month was Apr 2026 with a return of +13.7%, while the worst month was Oct 2018 at -9.7%. The longest winning streak lasted 14 consecutive months, and the longest losing streak was 4 months.
On a daily basis, Momentum closed higher 51% of trading days. The best single day was Apr 9, 2025 with a return of +9.6%, while the worst single day was Mar 16, 2020 at -12.6%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 2.22% | 1.71% | -6.98% | 13.67% | 7.27% | -2.65% | 14.79% | ||||||
| 2025 | 5.13% | 1.36% | -2.97% | 4.31% | 8.72% | 5.19% | 1.01% | 2.29% | 3.28% | 0.18% | -0.03% | 1.94% | 34.37% |
| 2024 | 4.14% | 8.39% | 5.28% | -5.25% | 5.53% | 4.12% | 0.04% | 2.92% | 0.21% | -1.12% | 5.29% | -2.71% | 29.31% |
| 2023 | 1.77% | -3.14% | 1.62% | 2.69% | -5.05% | 5.46% | 2.58% | 0.77% | -1.21% | -2.16% | 9.72% | 5.26% | 18.85% |
| 2022 | -5.81% | -3.13% | 3.12% | -7.29% | 2.55% | -9.14% | 6.43% | -3.72% | -7.74% | 10.91% | 6.10% | -1.84% | -11.24% |
| 2021 | -0.03% | -1.48% | 0.70% | 4.44% | -0.41% | 4.13% | 2.13% | 4.54% | -3.32% | 6.45% | -3.03% | 3.53% | 18.50% |
Benchmark Metrics
Momentum has an annualized alpha of 4.40%, beta of 0.82, and R2 of 0.71 versus S&P 500 Index. Calculated based on daily prices since October 12, 2015.
- This portfolio participates in less of S&P 500 Index's moves in both directions, but captures a larger share of gains (94.27%) than losses (82.41%) - typical of diversified or defensive assets.
- This portfolio generated an annualized alpha of 4.40% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.
- Alpha
- 4.40%
- Beta
- 0.82
- R²
- 0.71
- Upside Capture
- 94.27%
- Downside Capture
- 82.41%
Expense Ratio
Momentum 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
Momentum ranks 38 for risk / return — below 38% of Portfolios on our site. The returns aren't fully compensating for the risk involved. This isn't necessarily a dealbreaker, but factor it into your decision — especially if you're risk-averse.
Return / Risk — by metrics
The table below presents risk-adjusted performance metrics for Momentum and compares them with S&P 500 Index.
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | 1.77 | 1.94 | -0.16 |
| Sortino ratioReturn per unit of downside risk | 2.52 | 2.63 | -0.10 |
| Omega ratioGain probability vs. loss probability | 1.33 | 1.35 | -0.02 |
| Calmar ratioReturn relative to maximum drawdown | 2.68 | 2.59 | +0.09 |
| Martin ratioReturn relative to average drawdown | 12.71 | 11.84 | +0.86 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.
| Position | Risk / Return Rank | Sharpe ratio | Sortino ratio | Omega ratio | Calmar ratio | Martin ratio |
|---|---|---|---|---|---|---|
IDMO Invesco S&P International Developed Momentum ETF | 36 | 1.12 | 1.67 | 1.21 | 1.57 | 6.49 |
SPMO Invesco S&P 500 Momentum ETF | 71 | 2.13 | 2.81 | 1.39 | 3.13 | 12.02 |
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Dividends
Dividend yield
Momentum provided a 2.15% dividend yield over the last twelve months.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 2.15% | 2.22% | 1.36% | 2.26% | 2.66% | 1.17% | 1.45% | 2.09% | 2.16% | 1.93% | 2.06% | 1.44% |
| Portfolio components: | ||||||||||||
IDMO Invesco S&P International Developed Momentum ETF | 3.61% | 3.71% | 2.24% | 2.89% | 3.66% | 1.81% | 1.63% | 2.78% | 3.27% | 3.08% | 2.18% | 2.52% |
SPMO Invesco S&P 500 Momentum ETF | 0.69% | 0.73% | 0.48% | 1.63% | 1.66% | 0.52% | 1.27% | 1.39% | 1.05% | 0.77% | 1.94% | 0.36% |
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 Momentum. 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 Momentum was 31.14%, occurring on Mar 23, 2020. Recovery took 76 trading sessions.
The current Momentum drawdown is 3.80%.
Related event | Drawdown | Fall | Recovery | Underwater |
|---|---|---|---|---|
COVID crash2020 | -31.14%Mar 2020 | 1mo 2d | 3mo 19d | 4mo 21dFeb 2020 - Jul 2020 |
Bear market2022 | -24.81%Sep 2022 | 10mo 15d | 1y 2mo | 2y 26dNov 2021 - Dec 2023 |
Rate-hike selloffLate 2018 | -21.38%Dec 2018 | 2mo 23d | 5mo 28d | 8mo 21dOct 2018 - Jun 2019 |
2016 correction2016 | -17.25%Feb 2016 | 3mo 8d | 3mo 28d | 7mo 6dNov 2015 - Jun 2016 |
2025 selloff2025 | -15.09%Apr 2025 | 1mo 18d | 24d | 2mo 12dFeb 2025 - May 2025 |
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 2 assets, with an effective number of assets of 2.00, reflecting the diversification based on asset allocation. Your capital is spread almost evenly across your holdings, indicating a well-balanced allocation. Note that true diversification also depends on the correlations between assets — check the diversification ratio below.
Diversification Ratio
1Y | 3Y | 5Y | 10Y | All Time | |
|---|---|---|---|---|---|
Diversification Ratio | 1.08 | 1.08 | 1.07 | 1.09 | 1.10 |
The portfolio has a diversification ratio of 1.10, placing it in the bottom quartile across portfolios — positions are highly correlated. Consider adding assets from different classes or sectors to reduce risk.
Momentum correlation to the S&P 500 Index
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.86 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.86 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.85 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.79 |
Correlation (All Time) Calculated using the full available price history since Oct 12, 2015 | 0.76 |
Benchmark Correlations
Correlation vs. S&P 500 Index. SPMO has the highest benchmark correlation at 0.78, while IDMO has the lowest at 0.59.
Asset Correlations Table
Find what Momentum is missing
See which holdings overlap, where Momentum is concentrated, and which low-correlation assets could fill the gaps.
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