PortfoliosLab logoPortfoliosLab logo
Dividend Income TRYING TO BEAT S&P500
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


S&P 500 Index

Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in Dividend Income TRYING TO BEAT S&P500, 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 graphics...

The earliest data available for this chart is May 4, 2022, corresponding to the inception date of JEPQ

Returns By Period


1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.11%-4.18%-3.84%-1.98%21.98%16.86%10.37%12.29%
Portfolio
Dividend Income TRYING TO BEAT S&P500
0.57%-1.28%4.33%4.04%14.00%-10.63%
JEPI
JPMorgan Equity Premium Income ETF
0.07%-3.74%0.53%2.94%11.19%9.62%8.34%
IEP
Icahn Enterprises L.P.
1.05%0.45%8.97%4.38%8.30%-34.54%-18.49%-5.13%
JEPQ
JPMorgan Nasdaq Equity Premium Income ETF
0.13%-2.81%-1.76%2.45%25.83%19.59%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since May 5, 2022, Dividend Income TRYING TO BEAT S&P500's average daily return is -0.02%, while the average monthly return is -0.31%.

Historically, 56% of months were positive and 44% were negative. The best month was Jun 2023 with a return of +11.2%, while the worst month was May 2023 at -25.1%. The longest winning streak lasted 4 consecutive months, and the longest losing streak was 3 months.

On a daily basis, Dividend Income TRYING TO BEAT S&P500 closed higher 50% of trading days. The best single day was May 5, 2023 with a return of +10.5%, while the worst single day was Aug 4, 2023 at -12.4%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20262.67%2.16%-1.99%1.49%4.33%
20257.23%1.74%-5.18%-2.70%1.98%0.27%7.25%-0.17%0.85%-1.18%4.01%-3.10%10.67%
20244.28%6.54%-4.36%0.34%1.22%0.82%3.44%-9.36%2.22%-3.69%-1.44%-11.07%-11.98%
20235.09%-0.68%2.22%0.33%-25.08%11.24%10.95%-21.44%-2.61%-8.69%6.91%2.21%-24.44%
2022-1.89%-5.62%8.81%-1.84%-5.68%7.92%1.22%-2.53%-0.68%

Benchmark Metrics

Dividend Income TRYING TO BEAT S&P500 has an annualized alpha of -11.80%, beta of 0.67, and R² of 0.24 versus S&P 500 Index. Calculated based on daily prices since May 05, 2022.

  • This portfolio participated in 114.13% of S&P 500 Index downside but only 42.13% of its upside — more exposed to losses than it benefited from rallies.
  • Beta of 0.67 may look defensive, but with R² of 0.24 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 0.24 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
-11.80%
Beta
0.67
0.24
Upside Capture
42.13%
Downside Capture
114.13%

Expense Ratio

Dividend Income TRYING TO BEAT S&P500 has an expense ratio of 0.17%, 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

Dividend Income TRYING TO BEAT S&P500 ranks 12 for risk / return — in the bottom 12% of portfolios on our site. This means you're taking on significantly more risk than the returns justify. Consider whether the potential upside is worth the volatility, or explore alternatives with better risk / return profiles.


Dividend Income TRYING TO BEAT S&P500 Risk / Return Rank: 1212
Overall Rank
Dividend Income TRYING TO BEAT S&P500 Sharpe Ratio Rank: 1010
Sharpe Ratio Rank
Dividend Income TRYING TO BEAT S&P500 Sortino Ratio Rank: 1010
Sortino Ratio Rank
Dividend Income TRYING TO BEAT S&P500 Omega Ratio Rank: 1010
Omega Ratio Rank
Dividend Income TRYING TO BEAT S&P500 Calmar Ratio Rank: 1414
Calmar Ratio Rank
Dividend Income TRYING TO BEAT S&P500 Martin Ratio Rank: 1414
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


PortfolioBenchmarkDifference

Sharpe ratio

Return per unit of total volatility

0.54

0.88

-0.34

Sortino ratio

Return per unit of downside risk

0.92

1.37

-0.45

Omega ratio

Gain probability vs. loss probability

1.12

1.21

-0.08

Calmar ratio

Return relative to maximum drawdown

0.89

1.39

-0.50

Martin ratio

Return relative to average drawdown

3.04

6.43

-3.39


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

Risk / Return RankSharpe ratioSortino ratioOmega ratioCalmar ratioMartin ratio
JEPI
JPMorgan Equity Premium Income ETF
290.580.921.150.793.80
IEP
Icahn Enterprises L.P.
460.210.531.070.440.85
JEPQ
JPMorgan Nasdaq Equity Premium Income ETF
611.071.631.261.758.55

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.

Dividend Income TRYING TO BEAT S&P500 Sharpe ratios as of Apr 4, 2026 (values are recalculated daily):

  • 1-Year: 0.54
  • All Time: -0.29

These values reflect how efficiently the investment has delivered returns relative to its volatility over different time periods. All figures are annualized and based on daily total returns (including price changes and dividends).

Compared to the broad market, where average Sharpe ratios range from 0.99 to 1.69, 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 Dividend Income TRYING TO BEAT S&P500 compared to the selected benchmark. This view highlights how the investment's risk-adjusted performance has changed over time.


Loading graphics...

Dividends

Dividend yield

Dividend Income TRYING TO BEAT S&P500 provided a 17.85% dividend yield over the last twelve months.


TTM20252024202320222021202020192018201720162015
Portfolio17.85%17.94%24.43%22.06%13.18%9.71%9.34%6.50%6.13%5.66%5.01%4.89%
JEPI
JPMorgan Equity Premium Income ETF
8.46%8.25%7.33%8.40%11.68%6.59%5.79%0.00%0.00%0.00%0.00%0.00%
IEP
Icahn Enterprises L.P.
25.91%26.49%40.37%34.90%15.79%16.13%15.79%13.01%12.26%11.32%10.01%9.79%
JEPQ
JPMorgan Nasdaq Equity Premium Income ETF
11.12%10.53%9.65%10.03%9.44%0.00%0.00%0.00%0.00%0.00%0.00%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.


Loading graphics...

Worst Drawdowns

The table below displays the maximum drawdowns of the Dividend Income TRYING TO BEAT S&P500. 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 Dividend Income TRYING TO BEAT S&P500 was 44.12%, occurring on Apr 8, 2025. The portfolio has not yet recovered.

The current Dividend Income TRYING TO BEAT S&P500 drawdown is 29.14%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-44.12%Apr 18, 2023496Apr 8, 2025
-9.46%Aug 17, 202232Sep 30, 202272Jan 13, 2023104
-8.75%May 5, 202230Jun 16, 202229Jul 29, 202259
-3.92%Feb 16, 202316Mar 10, 202313Mar 29, 202329
-1.24%Jan 17, 20233Jan 19, 20233Jan 24, 20236

Volatility

Volatility Chart

The chart below shows the rolling one-month volatility.


Loading graphics...

Diversification

Diversification Metrics


Number of Effective Assets

The portfolio contains 3 assets, with an effective number of assets of 2.67, reflecting the diversification based on asset allocation. This number of effective assets suggests a highly concentrated portfolio, where a few assets dominate the allocation, potentially increasing the portfolio's risk due to lack of diversification.

Asset Correlations Table

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

BenchmarkIEPJEPIJEPQPortfolio
Benchmark1.000.260.810.930.54
IEP0.261.000.270.200.93
JEPI0.810.271.000.680.53
JEPQ0.930.200.681.000.49
Portfolio0.540.930.530.491.00
The correlation results are calculated based on daily price changes starting from May 5, 2022