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CNAA.L vs. C300.L
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

CNAA.L vs. C300.L - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Lyxor Fortune SG UCITS MSCI China A DR (CNAA.L) and Invesco S&P China A 300 Swap UCITS ETF Acc (C300.L). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period


CNAA.L

1D
-0.64%
1M
-0.71%
YTD
8.88%
6M
11.68%
1Y
35.54%
3Y*
11.42%
5Y*
-1.13%
10Y*
5.10%

C300.L

1D
1M
YTD
6M
1Y
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

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Return for Risk

CNAA.L vs. C300.L — Risk / Return Rank

Compare risk-adjusted metric ranks to identify better-performing investments over the past 12 months.

CNAA.L
CNAA.L Risk / Return Rank: 7878
Overall Rank
CNAA.L Sharpe Ratio Rank: 7474
Sharpe Ratio Rank
CNAA.L Sortino Ratio Rank: 7474
Sortino Ratio Rank
CNAA.L Omega Ratio Rank: 7272
Omega Ratio Rank
CNAA.L Calmar Ratio Rank: 8989
Calmar Ratio Rank
CNAA.L Martin Ratio Rank: 8080
Martin Ratio Rank

C300.L
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.

CNAA.L vs. C300.L - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Lyxor Fortune SG UCITS MSCI China A DR (CNAA.L) and Invesco S&P China A 300 Swap UCITS ETF Acc (C300.L). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.


CNAA.LC300.LDifference
Sharpe ratioReturn per unit of total volatility

Sortino ratioReturn per unit of downside risk

Omega ratioGain probability vs. loss probability

1.38

Calmar ratioReturn relative to maximum drawdown

4.81

Martin ratioReturn relative to average drawdown

14.29

CNAA.L vs. C300.L - Sharpe Ratio Comparison


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Sharpe Ratios by Period


CNAA.LC300.LDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

2.15

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

-0.05

Sharpe Ratio (10Y)

Calculated over the trailing 10-year period

0.23

Sharpe Ratio (All Time)

Calculated using the full available price history

0.22

Drawdowns

CNAA.L vs. C300.L - Drawdown Comparison


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Drawdown Indicators


CNAA.LC300.LDifference

Max Drawdown

Largest peak-to-trough decline

-56.07%

Max Drawdown (1Y)

Largest decline over 1 year

-7.51%

Max Drawdown (3Y)

Largest decline over 3 years

-28.67%

Max Drawdown (5Y)

Largest decline over 5 years

-44.54%

Max Drawdown (10Y)

Largest decline over 10 years

-49.66%

Current Drawdown

Current decline from peak

-14.26%

Average Drawdown

Average peak-to-trough decline

-32.97%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.53%

Volatility

CNAA.L vs. C300.L - Volatility Comparison


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Volatility by Period


CNAA.LC300.LDifference

Volatility (1M)

Calculated over the trailing 1-month period

6.38%

Volatility (6M)

Calculated over the trailing 6-month period

11.91%

Volatility (1Y)

Calculated over the trailing 1-year period

16.79%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

22.48%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

22.49%

CNAA.L vs. C300.L - Expense Ratio Comparison

Both CNAA.L and C300.L have an expense ratio of 0.35%.


Dividends

CNAA.L vs. C300.L - Dividend Comparison

Neither CNAA.L nor C300.L has paid dividends to shareholders.


Tickers have no history of dividend payments

Frequently Asked Questions


Both ETFs have the same 0.35% expense ratio. The better choice depends on whether you care most about return, fees, risk, or income.

CNAA.L and C300.L have the same expense ratio: 0.35% per year.

CNAA.L tracks MSCI China A Onshore NR CNY, while C300.L tracks S&P China A 300 Index. They also come from different issuers: Amundi and Invesco.

Portfolio Optimizer

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