Investors seeking emerging markets exposure face a choice between broad market representation and specialized thematic approaches. First Trust Emerging Markets Human Flourishing ETF (FTHF) and iShares Core MSCI Emerging Markets ETF (IEMG) both target equities from developing economies but pursue distinct strategies. They do not compete directly; instead, they offer complementary or alternative paths to similar investor goals of growth through emerging market participation. FTHF emphasizes companies promoting human flourishing, while IEMG delivers comprehensive market-cap-weighted coverage. This comparison highlights their structural differences to aid informed allocation decisions in the current environment of evolving global trade dynamics and sector rotations.
First Trust Emerging Markets Human Flourishing ETF (FTHF) tracks a custom index designed to measure the performance of large- and mid-cap companies in emerging markets that sufficiently promote human flourishing, based on criteria including human rights, environmental stewardship, and governance practices. The fund holds approximately 109 securities and maintains a market-cap-weighted approach within its screened universe. Top holdings reflect this thematic filter, often including technology and materials firms aligned with the index methodology. Sector allocations tilt heavily toward technology (around 50%) and financial services (around 24%), with additional exposure to basic materials. The expense ratio stands at 0.75%. As a passively managed thematic ETF launched in late 2023, it features periodic index rebalancing and targets 80% or more of assets in index constituents. Distinguishing features include its values-oriented screening and relatively concentrated profile compared to broad benchmarks.
iShares Core MSCI Emerging Markets ETF (IEMG) seeks to track the MSCI Emerging Markets Investable Market Index, providing exposure to large-, mid-, and small-cap equities from emerging markets worldwide. The fund holds over 2,600 securities, ensuring broad diversification across countries and companies. Top holdings typically include major technology names such as Taiwan Semiconductor Manufacturing Co Ltd and Samsung Electronics Co Ltd, alongside other leaders in consumer and financial sectors. Sector allocations span technology, financials, consumer discretionary, and communication services in proportions mirroring the underlying index. The expense ratio is 0.09%. As a passively managed ETF, it employs full replication where feasible with quarterly rebalancing aligned to index changes. Key structural characteristics include its scale, with assets exceeding $165 billion, high liquidity, and low-cost structure that supports efficient long-term emerging markets exposure.
Emerging markets equities continue to attract attention amid global supply chain shifts, technological advancement in Asia, and varying monetary policies across developing economies. Capital flows respond to interest rate differentials, commodity price trends, and geopolitical developments affecting trade relationships. Regulatory changes in key markets, including technology export controls and financial sector reforms, influence sector performance. Broader macroeconomic drivers such as inflation moderation and infrastructure spending create both opportunities and risks for emerging market companies. Thematic strategies focused on governance and sustainability factors gain traction among investors prioritizing long-term resilience, while broad market ETFs benefit from overall economic expansion in regions like Asia and Latin America. Sector risks include currency volatility and policy uncertainty that can affect relative performance across different exposure styles.
In recent market cycles, First Trust Emerging Markets Human Flourishing ETF (FTHF) has shown sensitivity to its thematic screens, with performance influenced by strength in technology and materials sectors amid earnings cycles and innovation trends. Its concentrated holdings can lead to higher volatility during sector rotations compared to broader benchmarks. iShares Core MSCI Emerging Markets ETF (IEMG), by contrast, has delivered more stable relative positioning through diversified exposure, benefiting from broad participation in large-cap leaders during periods of emerging market recovery. Interest rate expectations and geopolitical factors have driven capital allocation differences, with IEMG's scale supporting tighter tracking and lower trading costs. FTHF's higher expense ratio and thematic tilt position it for potential outperformance in environments favoring screened companies, while IEMG's low cost and breadth favor consistent exposure across varying macro conditions. Relative volatility remains higher for the thematic fund due to fewer holdings and specific selection criteria.
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 ETFs like First Trust Emerging Markets Human Flourishing ETF (FTHF) and iShares Core MSCI Emerging Markets ETF (IEMG) may find the tool useful for uncovering additional ideas aligned with their criteria.
Tickeron’s AI would currently favor iShares Core MSCI Emerging Markets ETF (IEMG) with higher probability due to its superior cost efficiency, extensive diversification across thousands of holdings, robust liquidity profile, and proven structural consistency in delivering broad emerging markets exposure. While First Trust Emerging Markets Human Flourishing ETF (FTHF) offers differentiated thematic positioning that may appeal in specific environments, IEMG's lower expense ratio and scale provide stronger risk-adjusted characteristics across observed market cycles.
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.
| FTHF | IEMG | FTHF / IEMG | |
| Gain YTD | 49.580 | 24.978 | 198% |
| Net Assets | 127M | 166B | 0% |
| Total Expense Ratio | 0.75 | 0.09 | 833% |
| Turnover | 38.00 | 6.00 | 633% |
| Yield | 3.03 | 2.21 | 137% |
| Fund Existence | 3 years | 14 years | - |
| FTHF | IEMG | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 83% | 2 days ago 84% |
| Stochastic ODDS (%) | 2 days ago 73% | 2 days ago 85% |
| Momentum ODDS (%) | 2 days ago 78% | 2 days ago 83% |
| MACD ODDS (%) | 2 days ago 89% | 2 days ago 86% |
| TrendWeek ODDS (%) | 2 days ago 63% | 2 days ago 82% |
| TrendMonth ODDS (%) | 2 days ago 88% | 2 days ago 80% |
| Advances ODDS (%) | 4 days ago 88% | 4 days ago 83% |
| Declines ODDS (%) | 2 days ago 73% | 2 days ago 80% |
| BollingerBands ODDS (%) | 2 days ago 61% | 2 days ago 86% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 81% |
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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A.I.dvisor indicates that over the last year, IEMG has been closely correlated with BABA. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if IEMG jumps, then BABA could also see price increases.
| Ticker / NAME | Correlation To IEMG | 1D Price Change % | ||
|---|---|---|---|---|
| IEMG | 100% | -0.98% | ||
| BABA - IEMG | 75% Closely correlated | -0.99% | ||
| JD - IEMG | 69% Closely correlated | -0.75% | ||
| BILI - IEMG | 68% Closely correlated | +0.84% | ||
| BIDU - IEMG | 66% Loosely correlated | +1.60% | ||
| BZUN - IEMG | 61% Loosely correlated | +1.33% | ||
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