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Performance

^SSEC Performance Chart

Shanghai Composite (^SSEC) is up 2.2% since the beginning of the year. ^SSEC is currently trading at CN¥4,058 per share. Investors who bought CN¥1,000 worth of ^SSEC shares 5 years ago would now be looking at an investment worth CN¥1,130.


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S&P 500 Index

Returns By Period

Shanghai Composite (^SSEC) has returned 2.24% so far this year and 20.77% over the past 12 months. Over the last ten years, ^SSEC has returned 3.30% per year, falling short of the S&P 500 Index benchmark, which averaged 14.14% annually.


Shanghai Composite

1D
-0.64%
1M
-1.34%
YTD
2.24%
6M
4.30%
1Y
20.77%
3Y*
7.87%
5Y*
2.47%
10Y*
3.30%

Benchmark (S&P 500 Index)

1D
-0.39%
1M
-0.41%
YTD
5.64%
6M
4.49%
1Y
18.37%
3Y*
17.45%
5Y*
12.99%
10Y*
14.14%
*Multi-year figures are annualized to reflect compound growth (CAGR)

^SSEC Monthly Returns History

Based on dividend-adjusted daily data since Dec 19, 1990, ^SSEC's average daily return is +0.07%, while the average monthly return is +1.59%. At this rate, an investment would double in approximately 3.7 years.

Historically, 54% of months were positive and 46% were negative. The best month was May 1992 with a return of +177.2%, while the worst month was May 1993 at -31.2%. The longest winning streak lasted 13 consecutive months, and the longest losing streak was 5 months.

On a daily basis, ^SSEC closed higher 53% of trading days. The best single day was May 21, 1992 with a return of +105.3%, while the worst single day was May 23, 1995 at -16.4%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20263.76%1.09%-6.51%5.66%-1.06%-0.27%2.24%
2025-3.02%2.16%0.45%-1.70%2.09%2.90%3.74%7.97%0.64%1.85%-1.67%2.06%18.41%
2024-6.27%8.13%0.86%2.09%-0.58%-3.87%-0.97%-3.28%17.39%-1.70%1.42%0.76%12.67%
20235.39%0.74%-0.21%1.54%-3.57%-0.08%2.78%-5.20%-0.30%-2.95%0.36%-1.81%-3.70%
2022-7.65%3.00%-6.07%-6.31%4.57%6.66%-4.28%-1.57%-5.55%-4.33%8.91%-1.97%-15.13%
20210.29%0.75%-1.91%0.14%4.89%-0.67%-5.40%4.31%0.68%-0.58%0.47%2.13%4.80%

Benchmark Metrics

Shanghai Composite has an annualized alpha of 1.86%, beta of 0.09, and R2 of 0.01 versus S&P 500 Index. Calculated based on daily prices since December 19, 1990.

  • This index participated in 58.16% of S&P 500 Index downside but only 33.38% of its upside - more exposed to losses than it benefited from rallies.
  • Beta of 0.09 may look defensive, but with R2 of 0.01 this index 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 index's risk.
  • R2 of 0.01 means this index 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
1.86%
Beta
0.09
0.01
Upside Capture
33.38%
Downside Capture
58.16%

Return for Risk

Risk / Return Rank

^SSEC ranks 56 for risk / return — on par with similar indices. 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.


^SSEC Risk / Return Rank: 5656
Overall Rank
^SSEC Sharpe Ratio Rank: 5656
Sharpe Ratio Rank
^SSEC Sortino Ratio Rank: 5151
Sortino Ratio Rank
^SSEC Omega Ratio Rank: 5959
Omega Ratio Rank
^SSEC Calmar Ratio Rank: 5656
Calmar Ratio Rank
^SSEC Martin Ratio Rank: 5757
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 present risk-adjusted performance metrics for Shanghai Composite (^SSEC) and compare them to 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.


^SSECBenchmarkDifference
Sharpe ratioReturn per unit of total volatility

+0.16

Sortino ratioReturn per unit of downside risk

+0.17

Omega ratioGain probability vs. loss probability

1.31

1.28

+0.03

Calmar ratioReturn relative to maximum drawdown

2.38

1.78

+0.60

Martin ratioReturn relative to average drawdown

8.63

7.02

+1.61

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 Shanghai Composite. 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 Shanghai Composite was 78.27%, occurring on Jul 29, 1994. Recovery took 1202 trading sessions.

The current Shanghai Composite drawdown is 33.39%.


Related event

Drawdown

Fall

Recovery

Underwater

1994 bear market1994
-78.27%Jul 1994
1y 5mo4y 10mo
6y 4moFeb 1993 - Jun 1999
1992 bear market1992
-72.32%Nov 1992
5mo 25d2mo 24d
8mo 19dMay 1992 - Feb 1993
Financial crisis2007–2009
-71.98%Nov 2008
1y 19d
18y 8moOct 2007 - now
2005 bear market2005
-54.89%Jul 2005
4y 28d1y 5mo
5y 6moJun 2001 - Dec 2006
1999 bear market1999
-22.65%Dec 1999
6mo2mo 27d
8mo 27dJun 1999 - Mar 2000

Drawdown Indicators


^SSECBenchmarkDifference

Max Drawdown

Largest peak-to-trough decline

-78.27%

-60.67%

-17.60%

Max Drawdown (1Y)

Largest decline over 1 year

-8.83%

-10.37%

+1.54%

Max Drawdown (3Y)

Largest decline over 3 years

-17.89%

-18.28%

+0.39%

Max Drawdown (5Y)

Largest decline over 5 years

-27.27%

-19.53%

-7.74%

Max Drawdown (10Y)

Largest decline over 10 years

-30.77%

-33.05%

+2.28%

Current Drawdown

Current decline from peak

-33.39%

-1.72%

-31.67%

Average Drawdown

Average peak-to-trough decline

-39.93%

-11.83%

-28.10%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.40%

2.62%

-0.22%

Volatility

Volatility Chart

The chart below shows the rolling one-month volatility.


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Portfolio Analyzer

Build a portfolio with ^SSEC

Add Shanghai Composite to a portfolio and analyze allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

Open Portfolio Analyzer with ^SSEC