PortfoliosLab logoPortfoliosLab logo
62025_1
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


S&P 500 Index

Portfolio Optimizer

Find the right asset allocation for 62025_1

Add portfolio to the optimizer to find optimal allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

Open Portfolio Optimizer

Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in 62025_1, 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.


Loading charts...

Returns By Period


Position1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.50%-0.17%8.56%8.85%22.93%19.37%11.84%13.61%
Portfolio
62025_1
0.74%0.77%6.90%7.10%12.98%17.54%10.35%
AVUV
Avantis US Small Cap Value ETF
0.96%5.96%22.73%19.51%40.08%19.24%11.57%
FLIN
Franklin FTSE India ETF
1.11%0.44%-10.29%-8.41%-11.39%5.77%3.89%
GBDC
Golub Capital BDC, Inc.
-0.30%1.53%0.68%-0.71%-2.64%10.34%6.81%6.73%
T
AT&T Inc.
2.52%-4.69%-2.96%-1.93%-12.96%20.58%7.38%3.33%
VEA
Vanguard FTSE Developed Markets ETF
0.34%1.30%14.73%16.65%29.82%19.03%9.51%10.72%
VOOG
Vanguard S&P 500 Growth ETF
0.38%-1.66%9.67%10.61%27.55%25.78%14.86%17.86%
VOOV
Vanguard S&P 500 Value ETF
0.67%1.81%8.31%8.06%20.66%15.11%10.94%12.04%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Sep 26, 2019, 62025_1's average daily return is +0.05%, while the average monthly return is +1.02%. At this rate, an investment would double in approximately 5.7 years.

Historically, 63% of months were positive and 37% were negative. The best month was Nov 2020 with a return of +11.4%, while the worst month was Mar 2020 at -19.0%. The longest winning streak lasted 7 consecutive months, and the longest losing streak was 3 months.

On a daily basis, 62025_1 closed higher 54% of trading days. The best single day was Mar 13, 2020 with a return of +8.2%, while the worst single day was Mar 16, 2020 at -11.1%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20262.49%0.90%-2.81%6.15%0.82%-0.61%6.90%
20252.51%0.59%-0.95%-0.81%4.65%3.35%-0.41%3.15%0.06%-0.01%1.55%-0.25%14.06%
20241.37%2.52%3.95%-1.90%3.83%0.96%2.94%1.21%2.71%-1.52%4.47%-3.35%18.21%
20236.69%-2.75%0.42%0.12%-2.41%5.72%2.42%-0.67%-1.79%-1.78%7.70%5.49%20.02%
2022-1.39%-2.44%1.31%-3.86%1.41%-7.17%6.00%-3.16%-9.20%9.51%6.76%-4.85%-8.54%
20210.40%4.14%4.52%3.74%1.74%-0.03%0.62%2.23%-1.52%2.33%-3.52%4.52%20.51%

Benchmark Metrics

62025_1 has an annualized alpha of 0.19%, beta of 0.81, and R2 of 0.84 versus S&P 500 Index. Calculated based on daily prices since September 26, 2019.

  • This portfolio participated in 80.89% of S&P 500 Index downside but only 75.22% of its upside - more exposed to losses than it benefited from rallies.

Alpha
0.19%
Beta
0.81
0.84
Upside Capture
75.22%
Downside Capture
80.89%

Expense Ratio

62025_1 has an expense ratio of 0.09%, 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

62025_1 ranks 21 for risk / return — below 21% 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.


62025_1 Risk / Return Rank: 2121
Overall Rank
62025_1 Sharpe Ratio Rank: 1818
Sharpe Ratio Rank
62025_1 Sortino Ratio Rank: 1919
Sortino Ratio Rank
62025_1 Omega Ratio Rank: 1818
Omega Ratio Rank
62025_1 Calmar Ratio Rank: 2626
Calmar Ratio Rank
62025_1 Martin Ratio Rank: 2525
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

Return / Risk — by metrics

The table below presents risk-adjusted performance metrics for 62025_1 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.


PortfolioBenchmarkDifference
Sharpe ratioReturn per unit of total volatility

1.25

1.86

-0.61

Sortino ratioReturn per unit of downside risk

1.81

2.53

-0.72

Omega ratioGain probability vs. loss probability

1.22

1.34

-0.12

Calmar ratioReturn relative to maximum drawdown

2.06

2.53

-0.47

Martin ratioReturn relative to average drawdown

6.89

11.37

-4.48


How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.

PositionRisk / Return RankSharpe ratioSortino ratioOmega ratioCalmar ratioMartin ratio
AVUV
Avantis US Small Cap Value ETF
84
2.283.241.395.0615.09
FLIN
Franklin FTSE India ETF
3
-0.76-1.030.88-0.61-1.44
GBDC
Golub Capital BDC, Inc.
35
-0.14-0.060.99-0.15-0.31
T
AT&T Inc.
18
-0.59-0.720.92-0.59-1.22
VEA
Vanguard FTSE Developed Markets ETF
62
1.812.501.332.589.92
VOOG
Vanguard S&P 500 Growth ETF
52
1.672.261.292.028.11
VOOV
Vanguard S&P 500 Value ETF
75
2.082.901.373.3112.58

Sharpe Ratio

The Sharpe ratio helps investors understand how much return they're getting for the level of risk taken. A higher Sharpe ratio indicates better risk-adjusted performance, meaning more reward for each unit of risk.

The current 62025_1 Sharpe ratio is 1.25 as of Jun 13, 2026 (the value is recalculated daily), calculated over the past 12 months.

Compared to the broad market, where average Sharpe ratios range from 1.53 to 2.41, this portfolio's current Sharpe ratio places it in the bottom 25%. This suggests weaker risk-adjusted returns than most portfolios, possibly due to lower returns, higher volatility, or both. It may be worth reviewing the allocation. You can use the Portfolio Optimization tool to explore options for improving the Sharpe ratio.

The chart below shows the rolling Sharpe ratio of 62025_1 compared to the selected benchmark. This view highlights how the investment's risk-adjusted performance has changed over time.


Loading charts...

Dividends

Dividend yield

62025_1 provided a 3.28% dividend yield over the last twelve months.


PositionTTM20252024202320222021202020192018201720162015
Portfolio3.28%3.37%3.82%3.57%3.50%3.59%3.28%2.94%3.39%2.68%2.80%2.86%
AVUV
Avantis US Small Cap Value ETF
1.61%1.58%1.61%1.65%1.74%1.28%1.21%0.38%0.00%0.00%0.00%0.00%
FLIN
Franklin FTSE India ETF
0.62%0.56%1.58%0.73%0.73%2.26%0.68%0.90%0.92%0.00%0.00%0.00%
GBDC
Golub Capital BDC, Inc.
11.29%11.50%12.73%10.00%9.35%7.58%8.44%7.70%8.49%7.47%8.32%7.70%
T
AT&T Inc.
4.71%4.47%4.87%6.62%6.66%8.46%7.23%5.22%7.01%5.04%4.51%5.46%
VEA
Vanguard FTSE Developed Markets ETF
2.62%3.22%3.35%3.15%2.91%3.16%2.04%3.04%3.35%2.77%3.05%2.92%
VOOG
Vanguard S&P 500 Growth ETF
0.45%0.49%0.49%1.12%0.93%0.53%0.88%1.26%1.34%1.32%1.47%1.56%
VOOV
Vanguard S&P 500 Value ETF
1.66%1.76%2.10%1.69%2.19%1.87%2.45%2.10%2.65%2.13%2.24%2.36%

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.


Loading charts...

Worst Drawdowns

The table below displays the maximum drawdowns of the 62025_1. 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 62025_1 was 38.16%, occurring on Mar 23, 2020. Recovery took 172 trading sessions.

The current 62025_1 drawdown is 0.86%.


Related event

Drawdown

Fall

Recovery

Underwater

COVID crash2020
-38.16%Mar 2020
2mo 2d8mo 6d
10mo 8dJan 2020 - Nov 2020
Bear market2022
-20.14%Sep 2022
8mo 20d1y 1mo
1y 10moJan 2022 - Nov 2023
2025 selloff2025
-12.50%Apr 2025
1mo 18d1mo 7d
2mo 25dFeb 2025 - May 2025
2024 pullback2024
-6.35%Aug 2024
19d25d
1mo 14dJul 2024 - Aug 2024
2026 pullback2026
-6.32%Mar 2026
1mo 16d17d
2mo 3dFeb 2026 - Apr 2026

Volatility

Volatility Chart

The chart below shows the rolling one-month volatility.


Loading charts...

Diversification

Diversification Metrics


Number of Effective Assets

The portfolio contains 7 assets, with an effective number of assets of 7.00, 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
All Time
Diversification Ratio

1.61

1.47

1.37

1.28

The portfolio has a diversification ratio of 1.28, in line with the typical range across portfolios. There's room to improve by adding less correlated assets.

62025_1 correlation to the S&P 500 Index

62025_1 has a 0.79 correlation to S&P 500 Index over the trailing 12 months. This section compares each holding's correlation to the benchmark and to the portfolio.

Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.79

Correlation (3Y)
Calculated over the trailing 3-year period

0.80

Correlation (5Y)
Calculated over the trailing 5-year period

0.85

Correlation (All Time)
Calculated using the full available price history since Sep 26, 2019

0.86


Benchmark Correlations

Correlation vs. S&P 500 Index. VOOG has the highest benchmark correlation at 0.95, while T has the lowest at 0.29.

T
0.29
GBDC
0.45
FLIN
0.52
AVUV
0.72
VEA
0.80
VOOV
0.85
VOOG
0.95

Portfolio Correlations

Correlation vs. 62025_1. VOOV has the highest portfolio correlation at 0.89, while T has the lowest at 0.53.

T
0.53
GBDC
0.60
FLIN
0.63
VOOG
0.73
AVUV
0.84
VEA
0.85
VOOV
0.89

Asset Correlations Table

The table below displays the correlation coefficients between the individual components of the portfolio, the entire portfolio, and the chosen benchmark.

The correlation results are calculated based on daily price changes starting from Sep 26, 2019
Diversification Analysis

Find what 62025_1 is missing

See which holdings overlap, where 62025_1 is concentrated, and which low-correlation assets could fill the gaps.

Analyze Diversification