MKUW.L vs. FLQA.L
MKUW.L (Invesco MSCI Kuwait UCITS ETF USD (Acc)) and FLQA.L (Franklin FTSE Asia ex China ex Japan UCITS ETF USD (Acc)) are both exchange-traded funds - MKUW.L is a Emerging Markets Equities fund tracking the MSCI Kuwait 20/35 Index, while FLQA.L is a Asia Pacific Equities fund tracking the Linked FTSE Asia ex Japan ex China Index - Net Return. Both are passively managed. Over the past 5 years, MKUW.L returned 7.19%/yr vs 12.23%/yr for FLQA.L. At a 0.20 correlation, their price movements are largely independent. MKUW.L charges 0.50%/yr vs 0.14%/yr for FLQA.L.
Performance
MKUW.L vs. FLQA.L - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, MKUW.L achieves a 0.15% return, which is significantly lower than FLQA.L's 30.17% return.
MKUW.L
- 1D
- -0.06%
- 1M
- -2.04%
- 6M
- 1.18%
- YTD
- 0.15%
- 1Y
- 3.43%
- 3Y*
- 7.89%
- 5Y*
- 7.19%
- 10Y*
- —
FLQA.L
- 1D
- -1.86%
- 1M
- -11.56%
- 6M
- 22.63%
- YTD
- 30.17%
- 1Y
- 48.05%
- 3Y*
- 24.43%
- 5Y*
- 12.23%
- 10Y*
- —
MKUW.L vs. FLQA.L - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | |
|---|---|---|---|---|---|---|---|---|
MKUW.L Invesco MSCI Kuwait UCITS ETF USD (Acc) | 0.15% | 25.35% | 9.15% | -8.87% | 5.99% | 28.57% | -9.88% | 10.35% |
FLQA.L Franklin FTSE Asia ex China ex Japan UCITS ETF USD (Acc) | 30.17% | 29.84% | 7.76% | 12.02% | -12.93% | 4.57% | 6.71% | 3.65% |
Correlation
The correlation between MKUW.L and FLQA.L is 0.17, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.17 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.22 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.23 |
Correlation (All Time) Calculated using the full available price history since Oct 25, 2019 | 0.20 |
Compare stocks, funds, or ETFs
Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.
Return for Risk
MKUW.L vs. FLQA.L — Risk / Return Rank
MKUW.L
FLQA.L
MKUW.L vs. FLQA.L - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Invesco MSCI Kuwait UCITS ETF USD (Acc) (MKUW.L) and Franklin FTSE Asia ex China ex Japan UCITS ETF USD (Acc) (FLQA.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.
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.
| MKUW.L | FLQA.L | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -1.56 | ||
| Sortino ratioReturn per unit of downside risk | -1.94 | ||
| Omega ratioGain probability vs. loss probability | 1.07 | 1.34 | -0.28 |
| Calmar ratioReturn relative to maximum drawdown | 0.46 | 3.37 | -2.91 |
| Martin ratioReturn relative to average drawdown | 1.05 | 10.76 | -9.71 |
Loading charts...
Drawdowns
MKUW.L vs. FLQA.L - Drawdown Comparison
The maximum MKUW.L drawdown since its inception was -37.76%, which is greater than FLQA.L's maximum drawdown of -29.21%. Use the drawdown chart below to compare losses from any high point for MKUW.L and FLQA.L.
Loading charts...
Drawdown Indicators
| MKUW.L | FLQA.L | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -37.76% | -29.21% | -8.55% |
Max Drawdown (1Y)Largest decline over 1 year | -7.47% | -14.19% | +6.72% |
Max Drawdown (3Y)Largest decline over 3 years | -14.16% | -22.19% | +8.03% |
Max Drawdown (5Y)Largest decline over 5 years | -25.13% | -25.38% | +0.25% |
Current DrawdownCurrent decline from peak | -3.60% | -14.19% | +10.59% |
Average DrawdownAverage peak-to-trough decline | -9.42% | -7.22% | -2.20% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 3.26% | 4.45% | -1.19% |
Volatility
MKUW.L vs. FLQA.L - Volatility Comparison
The current volatility for Invesco MSCI Kuwait UCITS ETF USD (Acc) (MKUW.L) is 1.71%, while Franklin FTSE Asia ex China ex Japan UCITS ETF USD (Acc) (FLQA.L) has a volatility of 10.89%. This indicates that MKUW.L experiences smaller price fluctuations and is considered to be less risky than FLQA.L based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| MKUW.L | FLQA.L | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 1.71% | 10.89% | -9.18% |
Volatility (6M)Calculated over the trailing 6-month period | 8.01% | 23.07% | -15.06% |
Volatility (1Y)Calculated over the trailing 1-year period | 10.26% | 25.18% | -14.92% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 12.76% | 17.75% | -4.99% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 16.49% | 18.53% | -2.04% |
MKUW.L vs. FLQA.L - Expense Ratio Comparison
MKUW.L has a 0.50% expense ratio, which is higher than FLQA.L's 0.14% expense ratio.
Dividends
MKUW.L vs. FLQA.L - Dividend Comparison
Neither MKUW.L nor FLQA.L has paid dividends to shareholders.
Frequently Asked Questions
MKUW.L and FLQA.L have a correlation of 0.17, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
On fees, FLQA.L is cheaper at 0.14% per year. The better choice depends on whether you care most about return, fees, risk, or income.
FLQA.L is cheaper with a 0.14% expense ratio, compared with 0.50% for MKUW.L.
MKUW.L is categorized as Emerging Markets Equities, while FLQA.L is Asia Pacific Equities. MKUW.L tracks MSCI Kuwait 20/35 Index, while FLQA.L tracks Linked FTSE Asia ex Japan ex China Index - Net Return. They also come from different issuers: Invesco and Franklin. Their fees differ too: 0.50% for MKUW.L and 0.14% for FLQA.L.
Find the right allocation for MKUW.L and FLQA.L
Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
Open Portfolio Optimizer