Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
JPM JPMorgan Chase & Co. | Financial Services | 33.33% |
BAC Bank of America Corporation | Financial Services | 33.33% |
C Citigroup Inc. | Financial Services | 33.33% |
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Performance Chart
The chart shows the growth of an initial investment of $10,000 in BANKS, 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 BANKS returned 8.28% Year-To-Date and 18.98% of annualized return in the last 10 years.
| Position | 1D | 1M | YTD | 6M | 1Y | 3Y* | 5Y* | 10Y* |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | 0.50% | -0.93% | 8.56% | 8.85% | 24.33% | 19.37% | 11.84% | 13.61% |
Portfolio BANKS | 1.93% | 10.95% | 8.28% | 10.23% | 45.23% | 36.36% | 14.91% | 18.98% |
| Portfolio components: | ||||||||
BAC Bank of America Corporation | 2.31% | 13.79% | 3.72% | 3.46% | 30.78% | 27.43% | 8.79% | 18.19% |
C Citigroup Inc. | 1.27% | 12.03% | 21.02% | 26.32% | 87.27% | 46.87% | 16.80% | 16.22% |
JPM JPMorgan Chase & Co. | 2.31% | 6.94% | 0.50% | 1.66% | 23.40% | 34.22% | 17.82% | 21.02% |
Monthly Returns
Based on dividend-adjusted daily data since May 29, 1986, BANKS's average daily return is +0.06%, while the average monthly return is +1.20%. At this rate, an investment would double in approximately 4.8 years.
Historically, 57% of months were positive and 43% were negative. The best month was Mar 2009 with a return of +39.7%, while the worst month was Jan 2009 at -39.6%. The longest winning streak lasted 8 consecutive months, and the longest losing streak was 7 months.
On a daily basis, BANKS closed higher 52% of trading days. The best single day was Nov 24, 2008 with a return of +30.1%, while the worst single day was Oct 19, 1987 at -23.2%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | -2.92% | -4.16% | -0.25% | 9.87% | -2.99% | 9.45% | 8.28% | ||||||
| 2025 | 11.04% | -0.87% | -9.16% | -2.59% | 9.84% | 10.23% | 4.22% | 4.23% | 4.04% | 0.81% | 1.30% | 6.20% | 44.56% |
| 2024 | 4.45% | 2.83% | 10.48% | -3.05% | 5.40% | 0.57% | 3.13% | 1.43% | -2.86% | 4.59% | 12.53% | -3.93% | 40.13% |
| 2023 | 9.23% | -1.00% | -10.78% | 3.59% | -4.22% | 5.06% | 8.15% | -9.73% | -1.94% | -3.73% | 15.73% | 10.36% | 18.40% |
| 2022 | 1.98% | -5.77% | -6.73% | -11.33% | 8.68% | -14.81% | 8.64% | -2.73% | -10.81% | 16.98% | 7.22% | -7.11% | -19.21% |
| 2021 | -1.78% | 15.02% | 8.56% | 1.66% | 7.23% | -5.90% | -4.17% | 6.82% | 0.70% | 5.42% | -7.09% | -1.52% | 25.07% |
Benchmark Metrics
BANKS has an annualized alpha of 1.25%, beta of 1.40, and R2 of 0.54 versus S&P 500 Index. Calculated based on daily prices since May 29, 1986.
- This portfolio captured 148.72% of S&P 500 Index gains and 135.90% of its losses - amplifying both gains and losses, but participating more in upside than downside.
- Alpha
- 1.25%
- Beta
- 1.40
- R²
- 0.54
- Upside Capture
- 148.72%
- Downside Capture
- 135.90%
Expense Ratio
BANKS has an expense ratio of 0.00%, meaning no management fees are charged. 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
BANKS ranks 43 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.
Return / Risk — by metrics
The table below presents risk-adjusted performance metrics for BANKS 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 | 1.86 | +0.12 |
| Sortino ratioReturn per unit of downside risk | 2.56 | 2.53 | +0.03 |
| Omega ratioGain probability vs. loss probability | 1.33 | 1.34 | -0.01 |
| Calmar ratioReturn relative to maximum drawdown | 2.78 | 2.53 | +0.25 |
| Martin ratioReturn relative to average drawdown | 7.88 | 11.37 | -3.49 |
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 |
|---|---|---|---|---|---|---|
BAC Bank of America Corporation | 75 | 1.36 | 1.85 | 1.24 | 1.64 | 4.21 |
C Citigroup Inc. | 94 | 2.93 | 3.57 | 1.45 | 5.64 | 16.25 |
JPM JPMorgan Chase & Co. | 69 | 1.01 | 1.43 | 1.18 | 1.42 | 3.36 |
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Dividends
Dividend yield
BANKS provided a 2.09% dividend yield over the last twelve months.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 2.09% | 1.89% | 2.43% | 3.05% | 3.36% | 2.49% | 2.84% | 2.21% | 2.56% | 1.51% | 1.32% | 1.35% |
| Portfolio components: | ||||||||||||
BAC Bank of America Corporation | 2.72% | 1.96% | 2.28% | 2.73% | 2.60% | 1.75% | 2.38% | 1.87% | 2.19% | 1.32% | 1.13% | 1.19% |
C Citigroup Inc. | 1.72% | 1.99% | 3.10% | 4.04% | 4.51% | 3.38% | 3.31% | 2.40% | 2.96% | 1.29% | 0.71% | 0.31% |
JPM JPMorgan Chase & Co. | 1.84% | 1.72% | 1.92% | 2.38% | 2.98% | 2.34% | 2.83% | 2.37% | 2.54% | 1.91% | 2.13% | 2.54% |
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 BANKS. 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 BANKS was 90.41%, occurring on Mar 6, 2009. Recovery took 2712 trading sessions.
Related event | Drawdown | Fall | Recovery | Underwater |
|---|---|---|---|---|
Financial crisis2007–2009 | -90.41%Mar 2009 | 1y 9mo | 10y 9mo | 12y 7moMay 2007 - Dec 2019 |
1990 bear market1990 | -60.47%Oct 1990 | 1y 25d | 1y 2mo | 2y 3moOct 1989 - Jan 1992 |
COVID crash2020 | -49.58%Mar 2020 | 2mo 20d | 11mo 7d | 1y 1moJan 2020 - Feb 2021 |
Black Monday1987 | -49.12%Dec 1987 | 9mo 28d | 1y 7mo | 2y 5moFeb 1987 - Jul 1989 |
1998 bear market1998 | -48.62%Oct 1998 | 2mo 24d | 6mo 2d | 8mo 26dJul 1998 - Apr 1999 |
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 3.00, 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 | 1.10 | 1.09 | 1.08 | 1.05 | 1.11 |
The portfolio has a diversification ratio of 1.11, placing it in the bottom quartile across portfolios — positions are highly correlated. Consider adding assets from different classes or sectors to reduce risk.
BANKS correlation to the S&P 500 Index
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.58 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.57 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.63 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.63 |
Correlation (All Time) Calculated using the full available price history since May 29, 1986 | 0.70 |
Benchmark Correlations
Correlation vs. S&P 500 Index. JPM has the highest benchmark correlation at 0.64, while BAC has the lowest at 0.61.
Asset Correlations Table
Find what BANKS is missing
See which holdings overlap, where BANKS is concentrated, and which low-correlation assets could fill the gaps.
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