Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
VTIP Vanguard Short-Term Inflation-Protected Securities ETF | Inflation-Protected Bonds | 50% |
VTI Vanguard Total Stock Market ETF | Large Cap Blend Equities | 50% |
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Performance Chart
The chart shows the growth of an initial investment of $10,000 in SB 50/50, 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 6, 2026, the SB 50/50 returned 5.73% Year-To-Date and 9.18% 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 SB 50/50 | 0.16% | 0.15% | 5.73% | 5.75% | 14.89% | 13.18% | 8.04% | 9.18% |
| Portfolio components: | ||||||||
VTI Vanguard Total Stock Market ETF | 0.30% | 0.44% | 9.05% | 8.94% | 24.96% | 21.05% | 12.25% | 14.84% |
VTIP Vanguard Short-Term Inflation-Protected Securities ETF | 0.00% | -0.18% | 1.76% | 1.89% | 4.64% | 5.17% | 3.37% | 3.08% |
Monthly Returns
Based on dividend-adjusted daily data since Oct 17, 2012, SB 50/50's average daily return is +0.03%, while the average monthly return is +0.70%. At this rate, an investment would double in approximately 8.3 years.
Historically, 70% of months were positive and 30% were negative. The best month was Apr 2020 with a return of +7.2%, while the worst month was Mar 2020 at -7.7%. The longest winning streak lasted 15 consecutive months, and the longest losing streak was 3 months.
On a daily basis, SB 50/50 closed higher 56% of trading days. The best single day was Mar 13, 2020 with a return of +5.3%, while the worst single day was Mar 16, 2020 at -5.9%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 1.06% | -0.09% | -2.38% | 5.70% | 2.81% | -1.28% | 5.73% | ||||||
| 2025 | 1.99% | -0.37% | -2.44% | 0.04% | 2.92% | 2.88% | 1.30% | 1.86% | 1.69% | 1.16% | 0.24% | 0.01% | 11.75% |
| 2024 | 0.80% | 2.55% | 1.95% | -2.24% | 2.84% | 1.81% | 1.41% | 1.35% | 1.53% | -0.60% | 3.58% | -1.61% | 14.01% |
| 2023 | 3.86% | -1.43% | 2.34% | 0.59% | -0.10% | 3.28% | 2.08% | -0.90% | -2.53% | -1.11% | 5.15% | 3.24% | 15.10% |
| 2022 | -3.36% | -0.66% | 1.14% | -4.59% | 0.16% | -4.77% | 5.57% | -2.66% | -6.16% | 4.61% | 2.91% | -3.25% | -11.23% |
| 2021 | 0.07% | 1.64% | 2.04% | 2.96% | 0.61% | 1.29% | 1.52% | 1.43% | -2.30% | 3.68% | -0.70% | 2.16% | 15.24% |
Benchmark Metrics
SB 50/50 has an annualized alpha of 1.68%, beta of 0.51, and R2 of 0.97 versus S&P 500 Index. Calculated based on daily prices since October 17, 2012.
- This portfolio participated in 55.86% of S&P 500 Index downside but only 53.79% of its upside - more exposed to losses than it benefited from rallies.
- Beta of 0.51 indicates this portfolio moves significantly less than S&P 500 Index - a genuinely defensive profile with reduced participation in both market rallies and downturns.
- Alpha
- 1.68%
- Beta
- 0.51
- R²
- 0.97
- Upside Capture
- 53.79%
- Downside Capture
- 55.86%
Expense Ratio
SB 50/50 has an expense ratio of 0.03%, 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
SB 50/50 ranks 64 for risk / return — better than 64% of Portfolios on our site. You're getting solid returns for the risk taken. A good sign, especially for investors who want growth without excessive volatility.
Return / Risk — by metrics
The table below presents risk-adjusted performance metrics for SB 50/50 and compares them with S&P 500 Index.
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | 2.36 | 1.94 | +0.43 |
| Sortino ratioReturn per unit of downside risk | 3.34 | 2.63 | +0.72 |
| Omega ratioGain probability vs. loss probability | 1.45 | 1.35 | +0.10 |
| Calmar ratioReturn relative to maximum drawdown | 3.57 | 2.59 | +0.99 |
| Martin ratioReturn relative to average drawdown | 16.47 | 11.84 | +4.62 |
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 |
|---|---|---|---|---|---|---|
VTI Vanguard Total Stock Market ETF | 68 | 2.02 | 2.73 | 1.36 | 2.81 | 12.85 |
VTIP Vanguard Short-Term Inflation-Protected Securities ETF | 95 | 3.12 | 5.31 | 1.66 | 6.66 | 26.11 |
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Dividends
Dividend yield
SB 50/50 provided a 2.31% dividend yield over the last twelve months.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 2.31% | 2.46% | 1.98% | 2.15% | 4.25% | 2.95% | 1.31% | 1.86% | 2.24% | 1.61% | 1.34% | 0.99% |
| Portfolio components: | ||||||||||||
VTI Vanguard Total Stock Market ETF | 1.03% | 1.12% | 1.27% | 1.44% | 1.66% | 1.21% | 1.42% | 1.78% | 2.04% | 1.71% | 1.92% | 1.98% |
VTIP Vanguard Short-Term Inflation-Protected Securities ETF | 3.59% | 3.81% | 2.70% | 2.86% | 6.84% | 4.68% | 1.20% | 1.95% | 2.45% | 1.52% | 0.76% | 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 SB 50/50. 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 SB 50/50 was 19.08%, occurring on Mar 23, 2020. Recovery took 83 trading sessions.
The current SB 50/50 drawdown is 1.72%.
Related event | Drawdown | Fall | Recovery | Underwater |
|---|---|---|---|---|
COVID crash2020 | -19.08%Mar 2020 | 1mo 2d | 4mo | 5mo 2dFeb 2020 - Jul 2020 |
Bear market2022 | -15.02%Sep 2022 | 8mo 29d | 1y 2mo | 1y 11moJan 2022 - Dec 2023 |
Rate-hike selloffLate 2018 | -10.25%Dec 2018 | 3mo 4d | 2mo 27d | 6mo 1dSep 2018 - Mar 2019 |
2025 selloff2025 | -9.15%Apr 2025 | 1mo 17d | 2mo 3d | 3mo 20dFeb 2025 - Jun 2025 |
2016 pullback2016 | -7.80%Feb 2016 | 7mo 22d | 3mo 16d | 11mo 8dJun 2015 - May 2016 |
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 | 1.11 | 1.11 | 1.12 | 1.10 | 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.
SB 50/50 correlation to the S&P 500 Index
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.98 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.98 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.98 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.98 |
Correlation (All Time) Calculated using the full available price history since Oct 17, 2012 | 0.98 |
Benchmark Correlations
Correlation vs. S&P 500 Index. VTI has the highest benchmark correlation at 0.99, while VTIP has the lowest at 0.07.
Asset Correlations Table
Find what SB 50/50 is missing
See which holdings overlap, where SB 50/50 is concentrated, and which low-correlation assets could fill the gaps.
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