Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
XDWD.DE Xtrackers MSCI World UCITS ETF 1C | Global Equities | 60% |
LYQ2.DE Amundi Euro Government Bond 1-3Y UCITS ETF Acc | European Government Bonds | 20% |
4GLD.DE Xetra-Gold | Gold, Precious Metals | 20% |
Find the right asset allocation for 202601
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 202601, 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
As of Jun 13, 2026, the 202601 returned 5.74% Year-To-Date and 11.07% of annualized return in the last 10 years.
| Position | 1D | 1M | YTD | 6M | 1Y | 3Y* | 5Y* | 10Y* |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | 1.65% | 1.97% | 10.35% | 10.82% | 26.39% | 19.66% | 12.33% | 13.81% |
Portfolio 202601 | 1.47% | 0.71% | 5.74% | 6.94% | 21.48% | 18.87% | 11.06% | 11.07% |
| Portfolio components: | ||||||||
4GLD.DE Xetra-Gold | 3.18% | -4.32% | -1.08% | 0.93% | 27.25% | 30.40% | 18.77% | 12.91% |
LYQ2.DE Amundi Euro Government Bond 1-3Y UCITS ETF Acc | 0.28% | 0.17% | -1.11% | -0.99% | 1.34% | 4.69% | -0.10% | 0.40% |
XDWD.DE Xtrackers MSCI World UCITS ETF 1C | 1.36% | 2.35% | 9.79% | 11.08% | 25.74% | 19.49% | 11.91% | 13.44% |
Monthly Returns
Based on dividend-adjusted daily data since Aug 15, 2014, 202601's average daily return is +0.04%, while the average monthly return is +0.75%. At this rate, an investment would double in approximately 7.7 years.
Historically, 64% of months were positive and 36% were negative. The best month was Nov 2020 with a return of +6.8%, while the worst month was Mar 2026 at -7.3%. The longest winning streak lasted 14 consecutive months, and the longest losing streak was 5 months.
On a daily basis, 202601 closed higher 54% of trading days. The best single day was Mar 24, 2020 with a return of +6.2%, while the worst single day was Mar 12, 2020 at -7.0%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 3.60% | 1.71% | -7.28% | 6.28% | 2.80% | -0.93% | 5.74% | ||||||
| 2025 | 3.73% | -0.98% | 0.55% | 2.72% | 3.75% | 3.70% | 0.22% | 2.59% | 4.21% | 2.00% | 1.41% | 2.11% | 29.18% |
| 2024 | 0.30% | 2.04% | 3.85% | -1.48% | 2.50% | 1.93% | 1.97% | 2.23% | 2.64% | -0.23% | 1.55% | -2.35% | 15.80% |
| 2023 | 5.39% | -2.97% | 3.96% | 1.58% | -0.93% | 3.26% | 2.63% | -1.64% | -3.88% | -0.51% | 6.48% | 4.04% | 18.16% |
| 2022 | -4.02% | -0.06% | 1.91% | -5.73% | -1.44% | -5.90% | 3.58% | -3.24% | -6.22% | 2.95% | 6.07% | -0.87% | -13.06% |
| 2021 | -0.92% | 0.01% | 1.19% | 3.84% | 2.68% | -1.05% | 1.90% | 1.19% | -3.28% | 3.15% | -1.08% | 2.61% | 10.46% |
Benchmark Metrics
202601 has an annualized alpha of 4.17%, beta of 0.34, and R2 of 0.29 versus S&P 500 Index. Calculated based on daily prices since August 15, 2014.
- This portfolio participated in 63.77% of S&P 500 Index downside but only 58.15% of its upside - more exposed to losses than it benefited from rallies.
- Beta of 0.34 may look defensive, but with R2 of 0.29 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 0.29 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
- 4.17%
- Beta
- 0.34
- R²
- 0.29
- Upside Capture
- 58.15%
- Downside Capture
- 63.77%
Expense Ratio
202601 has an expense ratio of 0.15%, 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
202601 ranks 36 for risk / return — below 36% 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 202601 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 | 1.98 | 2.14 | -0.15 |
| Sortino ratioReturn per unit of downside risk | 2.87 | 2.89 | -0.02 |
| Omega ratioGain probability vs. loss probability | 1.35 | 1.39 | -0.04 |
| Calmar ratioReturn relative to maximum drawdown | 2.43 | 2.91 | -0.49 |
| Martin ratioReturn relative to average drawdown | 9.77 | 13.08 | -3.31 |
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 |
|---|---|---|---|---|---|---|
4GLD.DE Xetra-Gold | 28 | 1.08 | 1.50 | 1.21 | 1.20 | 3.63 |
LYQ2.DE Amundi Euro Government Bond 1-3Y UCITS ETF Acc | 10 | 0.20 | 0.34 | 1.04 | 0.24 | 0.57 |
XDWD.DE Xtrackers MSCI World UCITS ETF 1C | 68 | 2.14 | 3.11 | 1.38 | 3.03 | 12.74 |
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Dividends
Dividend yield
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 202601. 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 202601 was 21.68%, occurring on Mar 23, 2020. Recovery took 74 trading sessions.
The current 202601 drawdown is 2.37%.
Related event | Drawdown | Fall | Recovery | Underwater |
|---|---|---|---|---|
COVID crash2020 | -21.68%Mar 2020 | 1mo 2d | 3mo 15d | 4mo 17dFeb 2020 - Jul 2020 |
Bear market2022 | -21.12%Oct 2022 | 11mo 7d | 1y 2mo | 2y 1moNov 2021 - Dec 2023 |
2016 correction2016 | -14.45%Jan 2016 | 1y 4mo | 7mo 1d | 1y 11moSep 2014 - Aug 2016 |
Rate-hike selloffLate 2018 | -12.20%Dec 2018 | 11mo 2d | 5mo 26d | 1y 4moJan 2018 - Jun 2019 |
2025 selloff2025 | -9.03%Apr 2025 | 1mo 17d | 19d | 2mo 6dFeb 2025 - Apr 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 3 assets, with an effective number of assets of 2.27, 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 | 10Y | All Time | |
|---|---|---|---|---|---|
Diversification Ratio | 1.27 | 1.29 | 1.25 | 1.26 | 1.29 |
The portfolio has a diversification ratio of 1.29, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.
202601 correlation to the S&P 500 Index
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.64 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.56 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.59 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.56 |
Correlation (All Time) Calculated using the full available price history since Aug 15, 2014 | 0.54 |
Benchmark Correlations
Correlation vs. S&P 500 Index. XDWD.DE has the highest benchmark correlation at 0.61, while 4GLD.DE has the lowest at 0.03.
Asset Correlations Table
Find what 202601 is missing
See which holdings overlap, where 202601 is concentrated, and which low-correlation assets could fill the gaps.
Analyze Diversification