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KungJung1
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 KungJung1, 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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The earliest data available for this chart is Oct 24, 2012, corresponding to the inception date of IEMG

Returns By Period

As of Apr 8, 2026, the KungJung1 returned -0.79% Year-To-Date and 18.02% of annualized return in the last 10 years.


1D1MYTD6M1Y3Y*5Y*10Y*
Benchmark
S&P 500 Index
0.08%-1.83%-3.34%-1.46%30.71%17.25%10.06%12.45%
Portfolio
KungJung1
0.41%-1.60%-0.79%0.18%35.51%20.95%11.03%18.02%
QQQ
Invesco QQQ ETF
0.02%-1.74%-4.07%-2.39%39.59%23.50%12.60%19.23%
SPY
State Street SPDR S&P 500 ETF
0.04%-1.69%-3.06%-0.92%32.20%18.74%11.56%14.26%
VT
Vanguard Total World Stock ETF
0.04%-1.04%-0.43%2.06%36.70%17.41%9.19%11.81%
IEMG
iShares Core MSCI Emerging Markets ETF
0.27%-0.23%4.63%7.23%49.40%16.41%4.47%8.53%
AAXJ
iShares MSCI All Country Asia ex-Japan ETF
0.48%-0.48%4.73%6.21%50.50%15.06%2.68%8.19%
IXN
iShares Global Tech ETF
0.51%-0.37%-1.90%-0.92%55.25%25.19%14.55%21.15%
GLD
SPDR Gold Shares
0.97%-8.81%8.96%17.90%57.76%32.30%21.29%13.81%
BND
Vanguard Total Bond Market ETF
0.15%-0.55%0.31%1.01%4.91%3.31%0.23%1.66%
BTC-USD
Bitcoin
4.18%8.73%-18.02%-40.91%-9.36%36.90%4.31%67.22%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Oct 25, 2012, KungJung1's average daily return is +0.05%, while the average monthly return is +1.56%. At this rate, your investment would double in approximately 3.7 years.

Historically, 66% of months were positive and 34% were negative. The best month was Nov 2013 with a return of +34.0%, while the worst month was Dec 2013 at -10.6%. The longest winning streak lasted 9 consecutive months, and the longest losing streak was 4 months.

On a daily basis, KungJung1 closed higher 55% of trading days. The best single day was Apr 9, 2025 with a return of +8.2%, while the worst single day was Mar 12, 2020 at -10.3%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20263.04%1.00%-6.06%1.48%-0.79%
20252.78%-1.32%-2.48%1.58%5.63%4.94%1.72%1.70%5.19%2.87%-1.03%0.44%23.94%
2024-0.01%5.77%3.82%-3.17%4.49%2.86%1.10%1.13%3.28%-0.55%4.54%-1.52%23.55%
20239.32%-2.91%6.59%0.77%1.01%4.69%3.00%-2.86%-3.99%0.22%8.25%4.78%31.65%
2022-5.17%-1.67%1.60%-8.58%-1.04%-7.59%6.74%-4.34%-8.69%3.32%6.64%-4.39%-22.21%
20210.62%2.52%3.65%3.69%-0.59%1.44%1.68%2.89%-4.41%6.50%-1.04%1.18%19.23%

Benchmark Metrics

KungJung1 has an annualized alpha of 7.65%, beta of 0.79, and R² of 0.75 versus S&P 500 Index. Calculated based on daily prices since October 25, 2012.

  • This portfolio captured 104.93% of S&P 500 Index gains but only 76.80% of its losses — a favorable profile for investors.
  • This portfolio generated an annualized alpha of 7.65% versus S&P 500 Index — delivering returns beyond what market exposure alone would predict.

Alpha
7.65%
Beta
0.79
0.75
Upside Capture
104.93%
Downside Capture
76.80%

Expense Ratio

KungJung1 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

KungJung1 ranks 40 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.


KungJung1 Risk / Return Rank: 4040
Overall Rank
KungJung1 Sharpe Ratio Rank: 5858
Sharpe Ratio Rank
KungJung1 Sortino Ratio Rank: 5959
Sortino Ratio Rank
KungJung1 Omega Ratio Rank: 5656
Omega Ratio Rank
KungJung1 Calmar Ratio Rank: 1313
Calmar Ratio Rank
KungJung1 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

2.32

1.87

+0.45

Sortino ratio

Return per unit of downside risk

3.53

3.01

+0.53

Omega ratio

Gain probability vs. loss probability

1.47

1.41

+0.06

Calmar ratio

Return relative to maximum drawdown

1.08

2.49

-1.40

Martin ratio

Return relative to average drawdown

3.70

11.08

-7.38


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
QQQ
Invesco QQQ ETF
721.892.951.392.619.85
SPY
State Street SPDR S&P 500 ETF
761.873.021.422.7311.91
VT
Vanguard Total World Stock ETF
842.373.711.502.7912.50
IEMG
iShares Core MSCI Emerging Markets ETF
832.693.611.522.7410.85
AAXJ
iShares MSCI All Country Asia ex-Japan ETF
802.623.561.502.6810.60
IXN
iShares Global Tech ETF
792.193.151.413.2611.14
GLD
SPDR Gold Shares
702.102.511.382.649.35
BND
Vanguard Total Bond Market ETF
411.211.761.211.534.09
BTC-USD
Bitcoin
52-0.21-0.011.00-1.03-1.80

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.

KungJung1 Sharpe ratios as of Apr 8, 2026 (values are recalculated daily):

  • 1-Year: 2.32
  • 5-Year: 0.73
  • 10-Year: 1.15
  • All Time: 1.22

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 1.91 to 2.75, this portfolio's current Sharpe ratio falls between the 25th and 75th percentiles. This indicates that its risk-adjusted performance is in line with the majority of portfolios, suggesting a balanced approach to risk and return—likely suitable for a wide range of investors.

The chart below shows the rolling Sharpe ratio of KungJung1 compared to the selected benchmark. This view highlights how the investment's risk-adjusted performance has changed over time.


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Dividends

Dividend yield

KungJung1 provided a 1.38% dividend yield over the last twelve months.


TTM20252024202320222021202020192018201720162015
Portfolio1.38%1.38%1.45%1.44%1.48%1.26%1.17%1.58%1.68%1.48%1.59%1.67%
QQQ
Invesco QQQ ETF
0.48%0.45%0.56%0.62%0.80%0.43%0.55%0.74%0.91%0.84%1.06%0.99%
SPY
State Street SPDR S&P 500 ETF
1.12%1.07%1.21%1.40%1.65%1.20%1.52%1.75%2.04%1.80%2.03%2.06%
VT
Vanguard Total World Stock ETF
1.79%1.82%1.95%2.08%2.20%1.82%1.66%2.32%2.53%2.11%2.39%2.45%
IEMG
iShares Core MSCI Emerging Markets ETF
2.63%2.75%3.20%2.89%2.71%3.06%1.87%3.15%2.76%2.35%2.28%2.53%
AAXJ
iShares MSCI All Country Asia ex-Japan ETF
1.73%1.81%1.86%1.95%1.74%2.21%1.06%1.83%2.10%1.99%1.77%2.44%
IXN
iShares Global Tech ETF
1.06%1.04%0.43%0.55%0.81%0.58%0.63%1.06%0.94%0.93%1.03%1.12%
GLD
SPDR Gold Shares
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
BND
Vanguard Total Bond Market ETF
3.92%3.86%3.67%3.09%2.60%2.12%2.38%2.72%2.81%2.54%2.51%2.57%
BTC-USD
Bitcoin
0.00%0.00%0.00%0.00%0.00%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.


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Worst Drawdowns

The table below displays the maximum drawdowns of the KungJung1. 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 KungJung1 was 28.85%, occurring on Oct 15, 2022. Recovery took 438 trading sessions.

The current KungJung1 drawdown is 6.48%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-28.85%Nov 9, 2021341Oct 15, 2022438Dec 27, 2023779
-25.97%Feb 13, 202039Mar 22, 2020106Jul 6, 2020145
-18.09%Dec 17, 2017374Dec 25, 2018164Jun 7, 2019538
-16.81%Dec 5, 201314Dec 18, 2013898Jun 3, 2016912
-15.06%Feb 21, 202547Apr 8, 202535May 13, 202582

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 9 assets, with an effective number of assets of 7.14, reflecting the diversification based on asset allocation. This number of effective assets indicates a moderate level of diversification, where some assets may have a more significant influence on overall performance.

Asset Correlations Table

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

BenchmarkBNDGLDBTC-USDAAXJIEMGQQQIXNSPYVTPortfolio
Benchmark1.00-0.030.010.160.670.690.910.891.000.950.86
BND-0.031.000.320.02-0.020.01-0.00-0.02-0.03-0.010.05
GLD0.010.321.000.070.130.160.010.020.010.090.16
BTC-USD0.160.020.071.000.110.100.130.130.130.130.50
AAXJ0.67-0.020.130.111.000.940.600.650.620.740.69
IEMG0.690.010.160.100.941.000.600.640.640.770.70
QQQ0.91-0.000.010.130.600.601.000.910.860.800.78
IXN0.89-0.020.020.130.650.640.911.000.830.810.78
SPY1.00-0.030.010.130.620.640.860.831.000.920.79
VT0.95-0.010.090.130.740.770.800.810.921.000.81
Portfolio0.860.050.160.500.690.700.780.780.790.811.00
The correlation results are calculated based on daily price changes starting from Oct 25, 2012