TAIWAN ETF COMPARISON
00924 vs 00988A
Fuh Hwa US S&P 500 Growth ETF compared with UPAMC Global Innovation Active 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 | 00988A UPAMC Global Innovation Active ETF |
|---|---|---|
| Latest close | TWD 32.48 | TWD 16.26 |
| Assets under management | TWD 13.6B | TWD 47.8B |
| Beneficiaries | 55,788 | 240,460 |
| Trailing 12-month distribution yield | — | — |
| Total expense ratio | — | — |
| Management fee | 0.45% | 1.40% |
| Custody fee | 0.15% | — |
Performance and risk
| Metric | 00924 | 00988A |
|---|---|---|
| 1-year return | +25.07% | — |
| 3-year return | +86.88% | — |
| 5-year return | — | — |
| 1-year volatility | 16.64% | 56.12% |
| 1-year max drawdown | -11.08% | -40.33% |
| 1-year Sharpe ratio | 1.75 | 1.68 |
Returns are price returns. Risk statistics use the available one-year price history and are shown only when sufficient observations exist.
Sector allocation
Weights are based on the latest available disclosed portfolios.
Common holdings
9 securities appear in both disclosed portfolios. Data updated Jul 30, 2026.
Holdings unique to each ETF
These securities appear in one disclosed portfolio but not the other.
| # | Security | 00924 weight |
|---|---|---|
| 1 | NVDA US · NVDA US | 12.93% |
| 2 | MSFT US · MSFT US | 8.15% |
| 3 | AAPL US · AAPL US | 6.98% |
| 4 | GOOGL US · GOOGL US | 5.55% |
| 5 | GOOG US · GOOG US | 5.18% |
| 6 | AVGO US · AVGO US | 4.93% |
| 7 | AMZN US · AMZN US | 3.63% |
| 8 | META US · META US | 3.61% |
| 9 | LLY US · LLY US | 3.20% |
| 10 | BRK/B US · BRK/B US | 3.09% |
| 11 | JPM US · JPM US | 1.76% |
| 12 | TSLA US · TSLA US | 1.68% |
| 13 | JNJ US · JNJ US | 1.06% |
| 14 | CAT US · CAT US | 1.01% |
| 15 | V US · V US | 0.95% |
| 16 | MA US · MA US | 0.93% |
| 17 | LRCX US · LRCX US | 0.89% |
| 18 | NFLX US · NFLX US | 0.87% |
| 19 | RTX US · RTX US | 0.81% |
| 20 | PLTR US · PLTR US | 0.79% |
| 21 | GEV US · GEV US | 0.68% |
| 22 | CSCO US · CSCO US | 0.66% |
| 23 | KLAC US · KLAC US | 0.63% |
| 24 | ABBV US · ABBV US | 0.60% |
| 25 | ANET US · ANET US | 0.56% |
Fund profile and disclosure dates
| Metric | 00924 | 00988A |
|---|---|---|
| Issuer | Fuh Hwa Securities Investment Trust | Uni-President Asset Management |
| Tracking index / benchmark | — | — |
| Listing date | Apr 26, 2023 | Nov 5, 2025 |
| Latest market date | Jul 31, 2026 | Jul 31, 2026 |
| Holdings date | Jul 29, 2026 | Jul 30, 2026 |
| Eligible stock positions | 145 | 41 |
| Premium / discount | +0.06% | +2.65% |
Switching estimate
Estimate how many units of the other ETF the current market value could purchase.
0092400988A
Current market valueTWD 324.8K
Unrealized gain / lossTWD 0
Estimated 00988A units19,975
Estimated annual distribution changeTWD 0
This estimate excludes brokerage fees, taxes, bid-ask spreads and intraday price movement.
Continue researching this pair
Review each ETF independently or open another published comparison.
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.