TAIWAN ETF COMPARISON
00924 vs 009811
Fuh Hwa US S&P 500 Growth ETF compared with UPAMC NYSE US 50 ETF.
Four ways to read this comparison
Portfolio similarity, historical return, distribution yield and annual fund cost answer different questions.
Price and return trend
Normalized returns make funds with different unit prices comparable. Switch to price mode to view actual TWD prices.
Key metrics
| Metric | 00924 Fuh Hwa US S&P 500 Growth ETF | 009811 UPAMC NYSE US 50 ETF |
|---|---|---|
| Latest close | TWD 34.26 | TWD 13.79 |
| Assets under management | TWD 14.7B | TWD 3.2B |
| Beneficiaries | 54,731 | 22,363 |
| Trailing 12-month distribution yield | — | — |
| Total expense ratio | — | — |
| Management fee | 0.45% | 0.35% |
| Custody fee | 0.15% | 0.12% |
Performance and risk
| Metric | 00924 | 009811 |
|---|---|---|
| 1-year return | +23.46% | +24.23% |
| 3-year return | +100.23% | — |
| 5-year return | — | — |
| 1-year volatility | 16.38% | 14.36% |
| 1-year max drawdown | -11.08% | -10.01% |
| 1-year Sharpe ratio | 1.48 | 1.74 |
Returns are price returns. Risk statistics use the available one-year price history and are shown only when sufficient observations exist.
Common holdings
38 securities appear in both disclosed portfolios. Data updated Oct 16, 2026.
| Security | 00924 weight | 009811 weight |
|---|---|---|
| NVDA · NVDA US | 13.54% | 11.52% |
| MSFT · MSFT US | 10.32% | 8.76% |
| AAPL · AAPL US | 6.43% | 11.23% |
| GOOGL · GOOGL US | 5.28% | 4.57% |
| GOOG · GOOG US | 4.91% | 3.96% |
| AMZN · AMZN US | 3.75% | 5.60% |
| META · META US | 4.18% | 3.65% |
| AVGO · AVGO US | 4.22% | 3.63% |
| MU · MU US | 2.71% | 2.31% |
| LLY · LLY US | 3.03% | 2.30% |
| AMD · AMD US | 2.36% | 2.08% |
| TSLA · TSLA US | 1.88% | 2.68% |
| BRK/B · BRK/B US | 2.90% | 1.66% |
| JPM · JPM US | 1.56% | 1.99% |
| PLTR · PLTR US | 1.19% | 1.00% |
| V · V US | 0.97% | 1.49% |
| JNJ · JNJ US | 0.93% | 1.37% |
| MA · MA US | 0.93% | 1.09% |
| LRCX · LRCX US | 0.89% | 0.80% |
| AMAT · AMAT US | 0.88% | 0.79% |
| CAT · CAT US | 0.87% | 0.77% |
| NFLX · NFLX US | 0.78% | 0.66% |
| ABBV · ABBV US | 0.59% | 1.12% |
| CSCO · CSCO US | 0.59% | 1.00% |
| RTX · RTX US | 0.65% | 0.56% |
Showing the 25 largest common positions by minimum portfolio weight.
Holdings unique to each ETF
These securities appear in one disclosed portfolio but not the other.
| # | Security | 00924 weight |
|---|---|---|
| 1 | APH · APH US | 0.52% |
| 2 | ISRG · ISRG US | 0.39% |
| 3 | UBER · UBER US | 0.38% |
| 4 | AXP · AXP US | 0.37% |
| 5 | BKNG · BKNG US | 0.32% |
| 6 | NEM · NEM US | 0.31% |
| 7 | IBM · IBM US | 0.30% |
| 8 | GILD · GILD US | 0.27% |
| 9 | HCA · HCA US | 0.26% |
| 10 | MAR · MAR US | 0.26% |
| 11 | STX · STX US | 0.26% |
| 12 | MRVL · Marvell Technology Inc | 0.26% |
| 13 | PWR · PWR US | 0.25% |
| 14 | NOW · NOW US | 0.24% |
| 15 | MNST · MNST US | 0.23% |
| 16 | DDOG · DDOG US | 0.23% |
| 17 | TJX · TJX US | 0.23% |
| 18 | HWM · HWM US | 0.23% |
| 19 | APP · APP US | 0.22% |
| 20 | FTNT · FTNT US | 0.22% |
| 21 | VRT · VRT US | 0.21% |
| 22 | GLW · GLW US | 0.21% |
| 23 | HOOD · HOOD US | 0.21% |
| 24 | DASH · DASH US | 0.20% |
| 25 | HLT · HLT US | 0.20% |
Fund profile and disclosure dates
| Metric | 00924 | 009811 |
|---|---|---|
| Issuer | Fuh Hwa Securities Investment Trust | Uni-President Asset Management |
| Tracking index / benchmark | — | — |
| Listing date | Apr 26, 2023 | Jul 29, 2025 |
| Latest market date | Oct 16, 2026 | Oct 16, 2026 |
| Holdings date | Oct 15, 2026 | Oct 14, 2026 |
| Eligible stock positions | 146 | 51 |
| Premium / discount | 0.00% | +0.73% |
Switching estimate
Estimate how many units of the other ETF the current market value could purchase.
This estimate excludes brokerage fees, taxes, bid-ask spreads and intraday price movement.
Continue researching this pair
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Taiwan ETF comparison FAQ
What does portfolio overlap measure?
For each common security, ETF Info takes the smaller of the two portfolio weights and adds those amounts. A higher percentage indicates more similar disclosed stock allocation.
Are historical returns shown with distributions?
Use the label shown for each metric. The long-period return fields are based on the return dataset, while the interactive price chart shows price returns and excludes distributions.
Can the lower-fee or higher-return ETF be considered the winner?
No single metric determines suitability. Fees, risk, liquidity, tracking exposure, distributions and portfolio construction answer different questions.
How to use this comparison
Fees, historical returns and overlap answer different questions. Portfolio overlap shows how similar the latest disclosed holdings are; it does not predict future performance or account for every trading cost, tax or distribution policy.