Emerging markets continue to attract investor attention amid shifting global supply chains, technological advancements, and evolving macroeconomic conditions. The iShares MSCI Emerging Markets ETF (EEM) and First Trust Emerging Markets Human Flourishing ETF (FTHF) both target equities in these economies yet pursue distinct strategies. EEM delivers broad market-cap-weighted exposure, while FTHF applies a specialized rules-based screen. These ETFs do not compete directly but offer alternative pathways for investors seeking emerging-market growth with differing risk and thematic profiles.
The iShares MSCI Emerging Markets ETF (EEM) is a passively managed fund that seeks to track the MSCI Emerging Markets Index. This index includes large- and mid-cap stocks from emerging-market countries. The ETF holds approximately 1,200 securities, providing broad diversification across regions and sectors. Top holdings typically feature Taiwan Semiconductor Manufacturing Company (TSMC), Samsung Electronics, SK Hynix, Tencent Holdings, and Alibaba Group. Sector exposure emphasizes information technology, financials, consumer discretionary, and communication services. The expense ratio stands at 0.72%. As a traditional index-tracking vehicle, EEM employs full replication or optimized sampling with periodic rebalancing aligned to the underlying index. Its large asset base supports strong liquidity and tight bid-ask spreads on major exchanges.
The First Trust Emerging Markets Human Flourishing ETF (FTHF) is a rules-based thematic ETF launched in October 2023. It tracks the Emerging Markets Human Flourishing Index, which selects large- and mid-cap emerging-market companies meeting quantitative criteria related to human flourishing metrics. The fund maintains roughly 110 holdings, resulting in a concentrated portfolio. Top positions often include SK Hynix, Samsung Electronics, Taiwan Semiconductor Manufacturing Company (TSMC), Petróleo Brasileiro (Petrobras), and MediaTek. Sector weights show pronounced exposure to information technology (around 50%) and financials (around 25%), with smaller allocations to materials and energy. The expense ratio is 0.75%. The strategy involves systematic screening and periodic rebalancing according to index rules rather than traditional active management.
Emerging-market equities remain influenced by global semiconductor demand, geopolitical developments in Asia, commodity price trends, and monetary policy shifts in major economies. Technology and financial sectors have experienced capital flows tied to artificial intelligence adoption and domestic consumption recovery in key markets. Regulatory changes affecting data privacy, cross-border investment, and environmental standards continue to shape company selection. Broader macroeconomic drivers include interest-rate expectations, currency fluctuations, and supply-chain diversification away from single-country dependence. Both ETFs operate within this environment, though their methodologies lead to different sensitivities to sector-specific catalysts.
Over recent market cycles, EEM has reflected broad emerging-market equity movements, with performance driven by diversified exposure across technology leaders and financial institutions. Its larger number of holdings tends to moderate volatility relative to more concentrated peers. FTHF, with its thematic focus and heavier technology weighting, has shown greater sensitivity to semiconductor cycles and innovation-driven rallies in recent weeks and months. The concentrated nature of FTHF can amplify returns during favorable rotations into high-conviction names but may also increase drawdowns during sector-specific corrections. Relative positioning favors EEM for investors prioritizing liquidity and diversification, while FTHF suits those seeking targeted exposure aligned with human-flourishing criteria amid ongoing technological and economic transitions.
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. Investors comparing emerging-market ETFs may find the tool useful for refining screens around sector exposure and volatility metrics.
Based on structural characteristics, iShares MSCI Emerging Markets ETF (EEM) currently presents a more balanced profile for broad emerging-market exposure. Its lower expense ratio, significantly higher number of holdings, established liquidity, and diversified sector allocation support greater consistency across market environments. First Trust Emerging Markets Human Flourishing ETF (FTHF) offers differentiated thematic exposure but carries higher concentration risk and a modestly elevated cost structure. In probabilistic terms, the AI assessment leans toward EEM for investors prioritizing diversification and cost efficiency within the emerging-markets category.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
| EEM | FTHF | EEM / FTHF | |
| Gain YTD | 26.302 | 49.580 | 53% |
| Net Assets | 31.2B | 127M | 24,567% |
| Total Expense Ratio | 0.72 | 0.75 | 96% |
| Turnover | 8.00 | 38.00 | 21% |
| Yield | 1.77 | 3.03 | 59% |
| Fund Existence | 23 years | 3 years | - |
| EEM | FTHF | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 87% | 2 days ago 83% |
| Stochastic ODDS (%) | 2 days ago 85% | 2 days ago 73% |
| Momentum ODDS (%) | 2 days ago 81% | 2 days ago 78% |
| MACD ODDS (%) | 2 days ago 84% | 2 days ago 89% |
| TrendWeek ODDS (%) | 2 days ago 83% | 2 days ago 63% |
| TrendMonth ODDS (%) | 2 days ago 81% | 2 days ago 88% |
| Advances ODDS (%) | 4 days ago 85% | 4 days ago 88% |
| Declines ODDS (%) | 2 days ago 81% | 2 days ago 73% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 61% |
| Aroon ODDS (%) | 2 days ago 84% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, EEM has been closely correlated with BABA. These tickers have moved in lockstep 76% of the time. This A.I.-generated data suggests there is a high statistical probability that if EEM jumps, then BABA could also see price increases.
| Ticker / NAME | Correlation To EEM | 1D Price Change % | ||
|---|---|---|---|---|
| EEM | 100% | -1.17% | ||
| BABA - EEM | 76% Closely correlated | -0.99% | ||
| JD - EEM | 70% Closely correlated | -0.75% | ||
| KC - EEM | 70% Closely correlated | -1.65% | ||
| BILI - EEM | 69% Closely correlated | +0.84% | ||
| BIDU - EEM | 67% Closely correlated | +1.60% | ||
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A.I.dvisor tells us that FTHF and GFI have been poorly correlated (+33% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that FTHF and GFI's prices will move in lockstep.
| Ticker / NAME | Correlation To FTHF | 1D Price Change % | ||
|---|---|---|---|---|
| FTHF | 100% | -1.10% | ||
| GFI - FTHF | 33% Poorly correlated | +3.11% | ||
| CLS - FTHF | 25% Poorly correlated | -7.16% | ||
| ABG - FTHF | 10% Poorly correlated | +1.73% | ||
| OUT - FTHF | 8% Poorly correlated | +0.29% | ||
| SLM - FTHF | 3% Poorly correlated | +3.68% | ||
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