Investors seeking single-country exposure within emerging markets often compare EWY and EZA because both provide efficient, low-cost access to two distinct economies. These ETFs do not compete directly for the same assets; instead, they represent alternative strategies for gaining targeted equity exposure to South Korea’s technology-driven market and South Africa’s resource- and financial-services-oriented market. The comparison helps investors evaluate structural similarities, sector biases, and how each fund fits within broader emerging-market allocations.
The iShares MSCI South Korea ETF (EWY) seeks to track the investment results of the MSCI South Korea 25/50 Index, a free-float-adjusted, market-capitalization-weighted benchmark of large- and mid-cap South Korean equities. The fund is passively managed and typically holds 80–105 securities. Top holdings are concentrated in technology, with significant positions in semiconductor and electronics companies. Sector allocations are dominated by information technology, followed by consumer discretionary and financials. The expense ratio stands at 0.59%. The ETF employs a representative sampling strategy to replicate index performance and rebalances in line with index changes. It is structured as a non-diversified fund listed on NYSE Arca.
The iShares MSCI South Africa ETF (EZA) seeks to track the MSCI South Africa 25/50 Index, which measures the performance of large- and mid-cap South African equities. The fund is passively managed and generally contains 27–36 holdings. Portfolio concentration is high, with top positions concentrated in materials (particularly mining and precious metals) and financials. Sector breakdowns emphasize basic materials and financial services, with smaller allocations to consumer discretionary and communication services. The expense ratio is 0.59%. Like its counterpart, EZA uses representative sampling and rebalances according to its index. It is also a non-diversified ETF listed on NYSE Arca.
Both ETFs operate within the emerging-markets equity space, where macroeconomic factors such as global growth, commodity prices, interest-rate cycles, and geopolitical developments influence capital flows. South Korea’s equity market benefits from its role in global semiconductor supply chains and technology exports, while South Africa’s market remains sensitive to precious-metals prices, mining output, and domestic financial-sector stability. Regulatory changes, trade policies, and shifts in foreign direct investment continue to shape sector momentum in both countries. Investors monitor these broader themes when assessing relative positioning within emerging-market portfolios.
In recent market cycles, EWY has shown sensitivity to technology-sector rotation and global semiconductor demand, resulting in periods of elevated volatility tied to earnings seasons of its largest holdings. EZA has exhibited performance linked to commodity price trends and South African economic indicators, with notable influence from materials and financials earnings. Over broader timeframes, the ETFs have displayed differing volatility profiles driven by their distinct sector exposures and underlying economic drivers rather than synchronized movements. Relative positioning reflects investor preferences for technology-led growth versus resource-oriented value characteristics.
Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening.
Based on observable factors including structural strength, cost efficiency, diversification profile, trend consistency, sector momentum, and risk exposure, Tickeron’s AI would currently assign a modestly higher probability of favorable relative positioning to EWY due to its broader holdings base and alignment with global technology demand cycles, while acknowledging EZA’s appeal for investors seeking commodity-linked exposure.
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| EWY | EZA | EWY / EZA | |
| Gain YTD | 102.921 | -6.408 | -1,606% |
| Net Assets | 24.8B | 609M | 4,072% |
| Total Expense Ratio | 0.59 | 0.59 | 100% |
| Turnover | 49.00 | 19.00 | 258% |
| Yield | 0.99 | 6.12 | 16% |
| Fund Existence | 26 years | 23 years | - |
| EWY | EZA | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 76% | N/A |
| Stochastic ODDS (%) | 1 day ago 84% | 1 day ago 87% |
| Momentum ODDS (%) | 1 day ago 86% | 1 day ago 89% |
| MACD ODDS (%) | 1 day ago 85% | 1 day ago 73% |
| TrendWeek ODDS (%) | 1 day ago 85% | 1 day ago 83% |
| TrendMonth ODDS (%) | 1 day ago 83% | 1 day ago 81% |
| Advances ODDS (%) | 2 days ago 83% | 11 days ago 90% |
| Declines ODDS (%) | 4 days ago 82% | 3 days ago 85% |
| BollingerBands ODDS (%) | 1 day ago 76% | 1 day ago 84% |
| Aroon ODDS (%) | 1 day ago 85% | 1 day ago 80% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| IBDT | 25.25 | 0.01 | +0.06% |
| iShares iBonds Dec 2028 Term Corp ETF | |||
| MARW | 35.89 | N/A | N/A |
| AllianzIM US Equity Buffer20 Mar ETF | |||
| NFEB | 30.00 | -0.06 | -0.20% |
| Innovator Growth-100 Pwr Buffr ETF - Feb | |||
| DEHP | 41.75 | -0.80 | -1.88% |
| Dimensional Em Mkts High Prof ETF | |||
| GRNJ | 30.36 | -0.65 | -2.10% |
| Fundstrat Granny Shots US Small & Mid Cap ETF | |||
A.I.dvisor indicates that over the last year, EZA has been closely correlated with GFI. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if EZA jumps, then GFI could also see price increases.