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失败案例, 2013-6
Performance
Return for Risk
Dividends
Drawdowns
Volatility
Diversification

Asset Allocation


GILD 16.67%CMCSA 16.67%QCOM 16.67%INTC 16.67%CSCO 16.67%ORCL 16.67%EquityEquity

S&P 500 Index

Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in 失败案例, 2013-6, 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 Jan 22, 1992, corresponding to the inception date of GILD

Returns By Period

As of Apr 4, 2026, the 失败案例, 2013-6 returned 1.80% Year-To-Date and 12.94% of annualized return in the last 10 years.


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
失败案例, 2013-6
1.17%-3.48%1.80%0.05%32.58%17.12%9.83%12.94%
GILD
Gilead Sciences, Inc.
-0.42%-5.21%14.47%25.50%27.61%22.94%20.43%7.76%
CMCSA
Comcast Corporation
-0.43%-11.95%7.98%4.45%-7.85%-2.49%-7.57%2.81%
QCOM
QUALCOMM Incorporated
-0.38%-8.53%-25.39%-24.18%-6.92%2.87%0.53%12.71%
INTC
Intel Corporation
4.89%10.53%36.53%36.79%124.61%16.21%-3.01%7.04%
CSCO
Cisco Systems, Inc.
1.95%-1.76%3.69%17.60%41.06%18.25%12.05%14.28%
ORCL
Oracle Corporation
0.79%-3.93%-24.70%-48.62%7.75%17.34%16.90%15.27%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Jan 23, 1992, 失败案例, 2013-6's average daily return is +0.09%, while the average monthly return is +1.80%. At this rate, your investment would double in approximately 3.2 years.

Historically, 64% of months were positive and 36% were negative. The best month was Dec 1999 with a return of +42.0%, while the worst month was Aug 1998 at -20.6%. The longest winning streak lasted 13 consecutive months, and the longest losing streak was 5 months.

On a daily basis, 失败案例, 2013-6 closed higher 53% of trading days. The best single day was May 8, 2002 with a return of +13.4%, while the worst single day was Jul 15, 1996 at -11.9%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20265.17%-0.89%-4.52%2.30%1.80%
20251.73%6.48%-3.95%-5.18%4.57%12.34%-1.40%3.33%10.17%4.35%-3.24%-0.42%30.78%
2024-0.29%-2.11%5.15%-11.65%5.49%4.22%1.49%-4.12%7.15%0.22%4.98%-6.79%1.94%
20238.46%-4.97%8.91%-1.79%0.80%6.04%4.42%0.23%-4.42%-0.82%7.81%5.47%32.94%
2022-5.48%-4.78%0.27%-9.62%2.71%-8.07%3.79%-3.95%-13.63%15.70%9.70%-5.81%-20.73%
20212.68%0.63%6.21%0.77%1.81%1.45%3.47%2.96%-5.57%-1.02%5.66%4.02%25.01%

Benchmark Metrics

失败案例, 2013-6 has an annualized alpha of 11.74%, beta of 1.17, and R² of 0.58 versus S&P 500 Index. Calculated based on daily prices since January 23, 1992.

  • This portfolio captured 157.75% of S&P 500 Index gains and 100.64% of its losses — amplifying both gains and losses, but participating more in upside than downside.
  • This portfolio generated an annualized alpha of 11.74% versus S&P 500 Index — delivering returns beyond what market exposure alone would predict.

Alpha
11.74%
Beta
1.17
0.58
Upside Capture
157.75%
Downside Capture
100.64%

Expense Ratio

失败案例, 2013-6 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.


The portfolio doesn't include any funds that charge management fees.

Return for Risk

Risk / Return Rank

失败案例, 2013-6 ranks 39 for risk / return — below 39% 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.


失败案例, 2013-6 Risk / Return Rank: 3939
Overall Rank
失败案例, 2013-6 Sharpe Ratio Rank: 3535
Sharpe Ratio Rank
失败案例, 2013-6 Sortino Ratio Rank: 3939
Sortino Ratio Rank
失败案例, 2013-6 Omega Ratio Rank: 2929
Omega Ratio Rank
失败案例, 2013-6 Calmar Ratio Rank: 5959
Calmar Ratio Rank
失败案例, 2013-6 Martin Ratio Rank: 3434
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

1.08

0.88

+0.19

Sortino ratio

Return per unit of downside risk

1.67

1.37

+0.30

Omega ratio

Gain probability vs. loss probability

1.22

1.21

+0.01

Calmar ratio

Return relative to maximum drawdown

2.07

1.39

+0.68

Martin ratio

Return relative to average drawdown

6.51

6.43

+0.08


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
GILD
Gilead Sciences, Inc.
710.981.581.182.105.65
CMCSA
Comcast Corporation
24-0.38-0.380.96-0.36-0.77
QCOM
QUALCOMM Incorporated
21-0.41-0.350.95-0.48-1.18
INTC
Intel Corporation
891.942.641.335.3212.19
CSCO
Cisco Systems, Inc.
741.131.551.242.335.93
ORCL
Oracle Corporation
410.020.551.060.070.14

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.

失败案例, 2013-6 Sharpe ratios as of Apr 4, 2026 (values are recalculated daily):

  • 1-Year: 1.08
  • 5-Year: 0.47
  • 10-Year: 0.61
  • All Time: 0.73

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 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 失败案例, 2013-6 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

失败案例, 2013-6 provided a 3.16% dividend yield over the last twelve months.


TTM20252024202320222021202020192018201720162015
Portfolio3.16%2.01%2.38%2.41%3.23%2.29%2.57%2.47%2.97%2.40%2.57%2.35%
GILD
Gilead Sciences, Inc.
2.28%2.57%3.33%3.70%3.40%3.91%4.67%3.88%3.65%2.90%2.57%1.27%
CMCSA
Comcast Corporation
10.39%4.35%3.25%2.60%3.03%1.95%1.72%1.40%2.69%1.18%1.96%1.73%
QCOM
QUALCOMM Incorporated
2.81%2.06%2.18%2.18%2.67%1.47%1.69%2.81%4.27%3.50%3.17%3.72%
INTC
Intel Corporation
0.00%0.00%1.87%1.47%5.52%2.70%2.65%2.11%2.56%2.33%2.87%2.79%
CSCO
Cisco Systems, Inc.
2.09%2.12%2.69%3.07%3.17%2.32%3.20%2.88%2.95%2.95%3.28%3.02%
ORCL
Oracle Corporation
1.37%0.97%0.96%1.44%1.57%1.38%1.48%1.72%1.68%1.52%1.56%1.56%

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 失败案例, 2013-6. 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 失败案例, 2013-6 was 63.24%, occurring on Oct 8, 2002. Recovery took 1008 trading sessions.

The current 失败案例, 2013-6 drawdown is 7.07%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-63.24%Mar 28, 2000635Oct 8, 20021008Oct 9, 20061643
-40.45%Aug 18, 2008140Mar 9, 2009470Jan 18, 2011610
-35.06%Jan 12, 2022181Sep 30, 2022304Dec 15, 2023485
-31.42%Oct 15, 1993148May 17, 1994177Jan 27, 1995325
-23.82%Feb 13, 202020Mar 12, 202059Jun 5, 202079

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 6 assets, with an effective number of assets of 6.00, 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.

BenchmarkGILDCMCSAQCOMORCLINTCCSCOPortfolio
Benchmark1.000.380.510.540.570.600.610.74
GILD0.381.000.260.230.240.260.270.54
CMCSA0.510.261.000.310.310.330.350.55
QCOM0.540.230.311.000.390.460.440.68
ORCL0.570.240.310.391.000.470.520.68
INTC0.600.260.330.460.471.000.550.72
CSCO0.610.270.350.440.520.551.000.72
Portfolio0.740.540.550.680.680.720.721.00
The correlation results are calculated based on daily price changes starting from Jan 23, 1992