Investors seeking single-country exposure within Greater China often evaluate iShares MSCI Hong Kong ETF (EWH) and iShares MSCI Taiwan ETF (EWT) as complementary rather than direct competitors. These ETFs target distinct equity markets in Hong Kong and Taiwan, respectively, allowing investors to express differentiated views on regional economic drivers such as property cycles versus semiconductor demand. In the current environment of evolving U.S.-China relations and technology supply-chain shifts, comparing their structural profiles helps clarify allocation decisions between financial-heavy versus technology-centric strategies.
The iShares MSCI Hong Kong ETF (EWH) is a passive exchange-traded fund that seeks to track the performance of the MSCI Hong Kong 25-50 Index. Launched in 1996, it holds approximately 27 securities and employs a market-capitalization-weighted approach with periodic rebalancing to maintain index alignment. Top holdings include AIA Group, Hong Kong Exchanges and Clearing, CK Hutchison Holdings, BOC Hong Kong Holdings, and Sun Hung Kai Properties, reflecting significant concentration in financials (around 45% combined across insurance, banks, and financial services) and real estate. The fund maintains an expense ratio of 0.50% and operates as a standard open-end structure listed on NYSE Arca, offering daily liquidity typical of iShares products.
The iShares MSCI Taiwan ETF (EWT) passively tracks the MSCI Taiwan 25/50 Index, providing exposure to large- and mid-cap Taiwanese equities. Established in 2000, the fund contains approximately 85 holdings and follows a market-capitalization-weighted methodology with annual or semi-annual rebalancing as needed. Leading positions feature Taiwan Semiconductor Manufacturing Company (TSMC), MediaTek, Delta Electronics, Hon Hai Precision Industry, and ASE Technology Holding, resulting in information technology comprising over 77% of the portfolio. It carries an expense ratio of 0.59% and shares the same iShares/BlackRock open-end ETF structure on NYSE Arca, emphasizing liquidity and transparency.
Both ETFs operate within the broader Asia-Pacific equity landscape, influenced by semiconductor supply chains, real estate cycles, and cross-strait geopolitical dynamics. Taiwan's technology sector benefits from global demand for advanced chips and electronics manufacturing, while Hong Kong equities reflect property market sentiment and financial services tied to regional capital flows. Macroeconomic factors such as interest rate trajectories, trade policies, and capital allocation between developed and emerging markets continue to shape relative attractiveness. Regulatory developments in both jurisdictions and shifts in global technology investment patterns represent ongoing catalysts and risk considerations for investors evaluating these single-country vehicles.
In recent market cycles, EWT has demonstrated stronger alignment with technology sector momentum, driven by earnings growth in semiconductor and electronics firms, whereas EWH has reflected more measured movements tied to financial and real estate sector rotations. Volatility differences arise from EWT's concentrated technology exposure compared to EWH's broader sector diversification. Relative positioning highlights EWT's sensitivity to global chip demand and supply-chain trends, while EWH offers ballast through defensive financial holdings during periods of property or banking sector pressure. Over broader timeframes, performance divergences track earnings cycles in top holdings and macroeconomic shifts affecting Asia-Pacific capital flows.
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Based on structural characteristics, EWT currently presents a probabilistic edge in Tickeron AI analysis due to its deeper diversification across a larger number of holdings, dominant positioning in high-growth information technology sectors, and demonstrated resilience in recent technology-driven market environments. EWH offers cost advantages and exposure to stable financial themes but carries higher concentration risk in fewer holdings. The AI assessment weighs sector momentum, cost efficiency, and risk-adjusted diversification profiles without constituting investment advice.
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| EWH | EWT | EWH / EWT | |
| Gain YTD | 1.600 | 58.665 | 3% |
| Net Assets | 1.13B | 10.6B | 11% |
| Total Expense Ratio | 0.50 | 0.59 | 85% |
| Turnover | 10.00 | 36.00 | 28% |
| Yield | 4.78 | 0.97 | 491% |
| Fund Existence | 30 years | 26 years | - |
| EWH | EWT | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 86% |
| Stochastic ODDS (%) | 2 days ago 82% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 84% | 2 days ago 83% |
| MACD ODDS (%) | 2 days ago 81% | 2 days ago 82% |
| TrendWeek ODDS (%) | 2 days ago 83% | 2 days ago 83% |
| TrendMonth ODDS (%) | 2 days ago 81% | 2 days ago 82% |
| Advances ODDS (%) | N/A | 2 days ago 83% |
| Declines ODDS (%) | 6 days ago 85% | 6 days ago 82% |
| BollingerBands ODDS (%) | 2 days ago 79% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 76% | 2 days ago 86% |
A.I.dvisor indicates that over the last year, EWH has been loosely correlated with FUTU. These tickers have moved in lockstep 40% of the time. This A.I.-generated data suggests there is some statistical probability that if EWH jumps, then FUTU could also see price increases.
| Ticker / NAME | Correlation To EWH | 1D Price Change % | ||
|---|---|---|---|---|
| EWH | 100% | -1.19% | ||
| FUTU - EWH | 40% Loosely correlated | +0.26% |