Investors seeking emerging markets exposure often weigh factor-based strategies against broad indexing amid shifting global capital flows. GEM and VWO both target equities in high-growth regions like Asia, but diverge structurally: GEM uses a smart-beta approach to overweight resilient factors, while VWO delivers comprehensive diversification across thousands of stocks. This comparison is timely as emerging markets benefit from AI-driven demand for semiconductors, a weaker U.S. dollar, and rotation from U.S. equities. They serve similar goals of capturing EM growth but differ in risk profiles, costs, and sensitivities to country classifications—such as South Korea's debated EM status—making them alternatives rather than direct substitutes.
The Goldman Sachs ActiveBeta Emerging Markets Equity ETF (GEM) tracks the Goldman Sachs ActiveBeta Emerging Markets Equity Index, a multi-factor benchmark emphasizing value, momentum, quality (profitability), and low volatility. Launched in 2015, it holds around 750 stocks, with the top 10 comprising 36% of assets, including Taiwan Semiconductor Manufacturing (14%), Samsung Electronics (7%), and SK Hynix (5%). Sector allocations tilt toward technology (37%), financial services (21%), and consumer cyclical (9%). Country weights feature Taiwan (24%), South Korea (20%), China (20%), and India (11%). The expense ratio is 0.35%. As a passive smart-beta ETF, it rebalances quarterly to maintain equal factor weights, aiming for superior risk-adjusted returns over cap-weighted peers. GEM's factor overlay distinguishes it, potentially enhancing resilience in volatile EM cycles.
The Vanguard FTSE Emerging Markets ETF (VWO) tracks the FTSE Emerging Markets All Cap China A Inclusion Index, providing market-cap-weighted exposure to large-, mid-, and small-cap stocks across emerging economies. With over 5,000 holdings since its 2005 inception, it emphasizes breadth, with top 10 at 27% including Taiwan Semiconductor (13%), Tencent (4%), and Alibaba (3%). Sectors break down to technology (26%), financial services (21%), and consumer cyclical (11%). Key countries are China (26-32%), Taiwan (25%), India (15-20%), and Brazil (4%), excluding South Korea per FTSE's developed market classification. Expense ratio stands at a low 0.06%. As a fully passive fund, it rebalances periodically to mirror the index, prioritizing low costs and diversification for core EM allocation.
Emerging markets face a dynamic environment with macroeconomic tailwinds like anticipated U.S. rate cuts boosting capital flows—EM ETFs saw $35B inflows early 2026 before geopolitical tensions in the Middle East tempered risk appetite. AI and semiconductor demand propel Taiwan and South Korea, key for both ETFs, amid robust EM earnings growth projected at 3.3-3.4% GDP. China stimulus aids A-share inclusion, but regulatory risks linger. Sector rotation favors tech over commodities, with EM debt recovering on liquidity. Volatility stems from U.S. growth slowdowns impacting exports, trade tensions, and dollar strength. Geopolitical flashpoints and election cycles add uncertainty, yet attractive valuations versus developed markets sustain appeal.
In recent weeks and months, GEM has outperformed VWO, with YTD gains around 18-23% versus VWO's 12-13%, and 1-year returns near 52% against 33-35%. This edge ties to GEM's factor tilts amplifying momentum in South Korean memory chips (SK Hynix, Samsung) and Taiwanese semis, fueled by AI demand. VWO's broader base and zero Korea exposure muted gains amid China underperformance. Volatility profiles show GEM slightly higher due to concentration, but factors like low-vol provide downside buffers in risk-off periods. Relative positioning favors GEM in tech-led cycles, while VWO shines in diversified recoveries, influenced by interest rate paths and commodity trends.
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 (market cap), technical indicators, price patterns, and performance metrics. The screener identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening, empowering data-driven decisions across asset classes including ETF comparisons like GEM and VWO. Explore it today to uncover hidden gems in emerging markets.
Tickeron’s AI currently favors GEM due to its structural advantages in factor-driven outperformance, stronger trend consistency in tech momentum, and balanced risk exposure via multi-factor design. While VWO excels in cost efficiency and diversification, GEM's probabilistic edge in recent cycles—tied to sector momentum and South Korea tilt—positions it ahead amid AI tailwinds, though with higher fees.
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| GEM | VWO | GEM / VWO | |
| Gain YTD | 17.924 | 7.943 | 226% |
| Net Assets | 1.64B | 163B | 1% |
| Total Expense Ratio | 0.35 | 0.06 | 583% |
| Turnover | 32.00 | 6.00 | 533% |
| Yield | 1.85 | 2.43 | 76% |
| Fund Existence | 11 years | 21 years | - |
| GEM | VWO | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 79% |
| Stochastic ODDS (%) | 3 days ago 84% | 3 days ago 80% |
| Momentum ODDS (%) | 3 days ago 85% | 3 days ago 82% |
| MACD ODDS (%) | 3 days ago 86% | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 78% | 3 days ago 79% |
| TrendMonth ODDS (%) | 3 days ago 78% | 3 days ago 78% |
| Advances ODDS (%) | 6 days ago 81% | 6 days ago 81% |
| Declines ODDS (%) | 3 days ago 80% | 3 days ago 82% |
| BollingerBands ODDS (%) | 3 days ago 79% | 3 days ago 79% |
| Aroon ODDS (%) | 3 days ago 80% | 3 days ago 89% |
A.I.dvisor indicates that over the last year, GEM has been closely correlated with BABA. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if GEM jumps, then BABA could also see price increases.
| Ticker / NAME | Correlation To GEM | 1D Price Change % | ||
|---|---|---|---|---|
| GEM | 100% | -6.50% | ||
| BABA - GEM | 73% Closely correlated | -3.88% | ||
| JD - GEM | 66% Loosely correlated | -1.06% | ||
| BILI - GEM | 66% Loosely correlated | -3.05% | ||
| BIDU - GEM | 62% Loosely correlated | -9.75% | ||
| BZUN - GEM | 59% Loosely correlated | -0.75% | ||
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A.I.dvisor indicates that over the last year, VWO has been closely correlated with JD. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if VWO jumps, then JD could also see price increases.
| Ticker / NAME | Correlation To VWO | 1D Price Change % | ||
|---|---|---|---|---|
| VWO | 100% | -3.78% | ||
| JD - VWO | 71% Closely correlated | -1.06% | ||
| BILI - VWO | 71% Closely correlated | -3.05% | ||
| BIDU - VWO | 68% Closely correlated | -9.75% | ||
| BABA - VWO | 67% Closely correlated | -3.88% | ||
| BZ - VWO | 65% Loosely correlated | -1.47% | ||
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