Asset Allocation
Find the right asset allocation for Macro
Add portfolio to the optimizer to find optimal allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
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Performance Chart
The chart shows the growth of an initial investment of £10,000 in Macro, 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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Returns By Period
| Position | 1D | 1M | YTD | 6M | 1Y | 3Y* | 5Y* | 10Y* |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | 0.59% | -0.95% | 9.11% | 8.58% | 25.88% | 16.96% | 13.00% | 14.19% |
Portfolio Macro | 0.72% | -0.18% | 5.55% | 6.01% | 17.39% | 8.74% | 4.94% | — |
| Portfolio components: | ||||||||
CMOP.L Invesco Bloomberg Commodity UCITS ETF Acc | -1.53% | -7.51% | 19.51% | 20.29% | 29.45% | 11.03% | 10.87% | — |
IBTL.L iShares USD Treasury Bond 20+yr UCITS ETF (Dist) | -0.17% | 1.43% | -0.34% | 0.20% | 5.42% | -3.32% | -5.44% | -1.26% |
SBEM.L UBS ETF (LU) Bloomberg USD Emerging Markets Sovereign UCITS ETF (USD) A-dis | 0.16% | 1.55% | 2.82% | 3.45% | 14.87% | 9.07% | 3.36% | 4.44% |
SGLN.L iShares Physical Gold ETC | 2.90% | -9.54% | -1.83% | -1.90% | 24.78% | 26.65% | 18.64% | 13.01% |
UBTS.L UBS ETF (LU) Bloomberg TIPS 1-10 UCITS ETF (USD) A-dis | -0.54% | -0.11% | 1.63% | 1.00% | 6.12% | 2.62% | 3.21% | — |
VEVE.L Vanguard FTSE Developed World UCITS ETF Distributing | 1.79% | 0.63% | 10.77% | 11.37% | 28.30% | 17.81% | 12.89% | 14.06% |
VFEM.L Vanguard FTSE Emerging Markets UCITS ETF Distributing | 1.96% | -0.58% | 10.41% | 11.41% | 27.25% | 14.24% | 5.97% | 9.54% |
VUTY.L Vanguard USD Treasury Bond UCITS ETF Distributing | -0.31% | 0.71% | 0.19% | -0.05% | 4.95% | 0.88% | 0.50% | 1.35% |
Monthly Returns
Based on dividend-adjusted daily data since Jan 9, 2017, Macro's average daily return is +0.02%, while the average monthly return is +0.46%. At this rate, an investment would double in approximately 12.6 years.
Historically, 54% of months were positive and 46% were negative. The best month was Jul 2025 with a return of +4.4%, while the worst month was Sep 2017 at -4.2%. The longest winning streak lasted 6 consecutive months, and the longest losing streak was 3 months.
On a daily basis, Macro closed higher 52% of trading days. The best single day was Mar 23, 2020 with a return of +2.7%, while the worst single day was Mar 27, 2020 at -3.1%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 0.44% | 4.29% | -2.87% | 1.54% | 2.68% | -0.49% | 5.55% | ||||||
| 2025 | 2.99% | -0.32% | -2.99% | -2.95% | 0.21% | 1.22% | 4.41% | -0.65% | 3.97% | 4.09% | -0.26% | -1.19% | 8.48% |
| 2024 | -0.38% | 1.06% | 2.44% | -1.42% | 0.37% | 2.78% | -0.12% | -0.12% | 0.58% | 1.36% | 2.74% | -0.82% | 8.69% |
| 2023 | 2.77% | -2.05% | 1.07% | -0.94% | -0.57% | -0.01% | 0.58% | -0.95% | -0.35% | -1.89% | 2.21% | 4.10% | 3.83% |
| 2022 | -2.39% | -1.47% | 1.69% | -1.35% | -1.55% | -1.21% | 3.13% | 1.80% | -3.11% | -4.00% | 2.20% | -1.61% | -7.87% |
| 2021 | -1.10% | -3.46% | 1.04% | 2.44% | -1.06% | 3.91% | 0.55% | 1.89% | -0.48% | 0.71% | 2.46% | -0.57% | 6.27% |
Benchmark Metrics
Macro has an annualized alpha of 3.68%, beta of 0.21, and R2 of 0.19 versus S&P 500 Index. Calculated based on daily prices since January 09, 2017.
- This portfolio participated in 40.11% of S&P 500 Index downside but only 38.75% of its upside - more exposed to losses than it benefited from rallies.
- Beta of 0.21 may look defensive, but with R2 of 0.19 this portfolio is largely uncorrelated with S&P 500 Index - low beta reflects independence, not downside protection. See the Volatility section for a true picture of this portfolio's risk.
- R2 of 0.19 means this portfolio moves largely independently of S&P 500 Index - capture ratios reflect limited market correlation rather than active downside protection. Consider using a more representative benchmark.
- Alpha
- 3.68%
- Beta
- 0.21
- R²
- 0.19
- Upside Capture
- 38.75%
- Downside Capture
- 40.11%
Expense Ratio
Macro has an expense ratio of 0.16%, 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
Macro ranks 81 for risk / return — in the top 81% of Portfolios on our site. This means strong returns relative to risk — exactly what professional investors look for. Well-suited for investors who want to maximize return per unit of risk.
Return / Risk — by metrics
The table below presents risk-adjusted performance metrics for Macro and compares them with S&P 500 Index.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | 2.69 | 2.12 | +0.57 |
| Sortino ratioReturn per unit of downside risk | 3.89 | 2.74 | +1.15 |
| Omega ratioGain probability vs. loss probability | 1.49 | 1.39 | +0.10 |
| Calmar ratioReturn relative to maximum drawdown | 3.76 | 3.11 | +0.65 |
| Martin ratioReturn relative to average drawdown | 12.80 | 11.46 | +1.33 |
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 |
|---|---|---|---|---|---|---|
CMOP.L Invesco Bloomberg Commodity UCITS ETF Acc | 58 | 1.68 | 2.12 | 1.31 | 3.46 | 8.86 |
IBTL.L iShares USD Treasury Bond 20+yr UCITS ETF (Dist) | 17 | 0.50 | 0.80 | 1.09 | 0.58 | 1.23 |
SBEM.L UBS ETF (LU) Bloomberg USD Emerging Markets Sovereign UCITS ETF (USD) A-dis | 78 | 2.24 | 3.28 | 1.40 | 4.05 | 11.69 |
SGLN.L iShares Physical Gold ETC | 31 | 1.09 | 1.48 | 1.22 | 1.13 | 3.51 |
UBTS.L UBS ETF (LU) Bloomberg TIPS 1-10 UCITS ETF (USD) A-dis | 27 | 0.93 | 1.36 | 1.16 | 1.18 | 3.14 |
VEVE.L Vanguard FTSE Developed World UCITS ETF Distributing | 87 | 2.59 | 3.57 | 1.49 | 3.96 | 15.94 |
VFEM.L Vanguard FTSE Emerging Markets UCITS ETF Distributing | 61 | 1.83 | 2.50 | 1.33 | 2.88 | 9.32 |
VUTY.L Vanguard USD Treasury Bond UCITS ETF Distributing | 23 | 0.80 | 1.21 | 1.14 | 0.90 | 2.13 |
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Dividends
Dividend yield
Macro provided a 2.57% dividend yield over the last twelve months.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 2.57% | 3.25% | 3.22% | 3.12% | 3.02% | 1.92% | 1.92% | 2.38% | 2.49% | 2.25% | 1.71% | 1.38% |
| Portfolio components: | ||||||||||||
CMOP.L Invesco Bloomberg Commodity UCITS ETF Acc | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
IBTL.L iShares USD Treasury Bond 20+yr UCITS ETF (Dist) | 2.27% | 4.31% | 4.58% | 3.79% | 2.96% | 1.72% | 1.86% | 2.54% | 2.75% | 2.68% | 2.45% | 2.09% |
SBEM.L UBS ETF (LU) Bloomberg USD Emerging Markets Sovereign UCITS ETF (USD) A-dis | 6.51% | 7.69% | 6.27% | 6.49% | 5.73% | 4.35% | 4.92% | 4.83% | 4.47% | 4.84% | 2.27% | 0.00% |
SGLN.L iShares Physical Gold ETC | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
UBTS.L UBS ETF (LU) Bloomberg TIPS 1-10 UCITS ETF (USD) A-dis | 4.02% | 3.26% | 4.41% | 4.56% | 6.66% | 2.83% | 0.84% | 2.30% | 2.38% | 1.27% | 0.00% | 0.00% |
VEVE.L Vanguard FTSE Developed World UCITS ETF Distributing | 1.24% | 1.38% | 1.48% | 1.71% | 1.98% | 1.46% | 1.62% | 1.95% | 2.24% | 1.93% | 1.88% | 2.03% |
VFEM.L Vanguard FTSE Emerging Markets UCITS ETF Distributing | 2.06% | 2.36% | 2.31% | 2.63% | 3.28% | 2.26% | 1.94% | 2.43% | 2.73% | 2.22% | 2.22% | 2.82% |
VUTY.L Vanguard USD Treasury Bond UCITS ETF Distributing | 4.26% | 4.40% | 4.00% | 3.47% | 2.06% | 1.19% | 1.64% | 2.42% | 2.24% | 1.64% | 0.92% | 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 Macro. 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 Macro was 12.91%, occurring on Aug 21, 2023. Recovery took 283 trading sessions.
The current Macro drawdown is 1.00%.
Related event | Drawdown | Fall | Recovery | Underwater |
|---|---|---|---|---|
2023 correction2023 | -12.91%Aug 2023 | 1y 8mo | 1y 1mo | 2y 10moDec 2021 - Oct 2024 |
2025 selloff2025 | -9.58%Apr 2025 | 2mo 10d | 4mo 26d | 7mo 6dFeb 2025 - Sep 2025 |
2018 pullback2018 | -8.49%Mar 2018 | 6mo 26d | 3mo 25d | 10mo 21dSep 2017 - Jul 2018 |
2019 pullback2019 | -7.55%Dec 2019 | 3mo 10d | 4mo 18d | 7mo 28dSep 2019 - Apr 2020 |
2021 pullback2021 | -6.43%Feb 2021 | 2mo 13d | 4mo 7d | 6mo 20dDec 2020 - Jul 2021 |
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 8 assets, with an effective number of assets of 5.80, reflecting the diversification based on asset allocation. Your capital is well-distributed across most of your holdings, with only mild concentration in a few names. True diversification also depends on the correlations between assets — check the diversification ratio below.
Diversification Ratio
1Y | 3Y | 5Y | All Time | |
|---|---|---|---|---|
Diversification Ratio | 1.70 | 1.71 | 1.72 | 1.62 |
The portfolio has a diversification ratio of 1.62, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.
Macro correlation to the S&P 500 Index
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.50 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.45 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.40 |
Correlation (All Time) Calculated using the full available price history since Jan 9, 2017 | 0.47 |
Benchmark Correlations
Correlation vs. S&P 500 Index. VEVE.L has the highest benchmark correlation at 0.61, while SGLN.L has the lowest at 0.06.
Asset Correlations Table
| CMOP.L | SGLN.L | VFEM.L | VEVE.L | IBTL.L | VUTY.L | UBTS.L | SBEM.L | |
|---|---|---|---|---|---|---|---|---|
| CMOP.L | 1.00 | 0.33 | 0.23 | 0.22 | 0.03 | 0.18 | 0.30 | 0.23 |
| SGLN.L | 0.33 | 1.00 | 0.15 | 0.07 | 0.34 | 0.36 | 0.34 | 0.29 |
| VFEM.L | 0.23 | 0.15 | 1.00 | 0.68 | -0.02 | 0.02 | 0.09 | 0.37 |
| VEVE.L | 0.22 | 0.07 | 0.68 | 1.00 | 0.02 | 0.10 | 0.18 | 0.48 |
| IBTL.L | 0.03 | 0.34 | -0.02 | 0.02 | 1.00 | 0.81 | 0.62 | 0.59 |
| VUTY.L | 0.18 | 0.36 | 0.02 | 0.10 | 0.81 | 1.00 | 0.91 | 0.70 |
| UBTS.L | 0.30 | 0.34 | 0.09 | 0.18 | 0.62 | 0.91 | 1.00 | 0.70 |
| SBEM.L | 0.23 | 0.29 | 0.37 | 0.48 | 0.59 | 0.70 | 0.70 | 1.00 |
Find what Macro is missing
See which holdings overlap, where Macro is concentrated, and which low-correlation assets could fill the gaps.
Analyze Diversification