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Emerging markets have long been a double-edged sword for investors: offering high-growth potential but plagued by volatility, geopolitical risks, and currency fluctuations. In recent years, multifactor ETFs have emerged as a compelling solution to navigate these challenges, blending strategies like value, momentum, and quality to enhance risk-adjusted returns. This article examines the performance and distribution consistency of multifactor ETFs in emerging markets, drawing on 2023–2025 data to assess their viability for equity income strategies.
The early 2023 period saw a divergence in emerging markets ETF performance. While broader optimism about China's recovery and a weaker U.S. dollar failed to materialize, factor-based strategies outperformed. The SPDR S&P Emerging Markets Dividend ETF (EDIV), for instance, surged 34.74% year-to-date, underscoring the appeal of dividend-paying stocks in uncertain environments[3]. Similarly, the iShares MSCI Emerging Markets Small-Cap ETF (EEMS) returned 18.24%, capitalizing on undervalued smaller companies[3].
By 2024 and 2025, the narrative shifted. A resilient U.S. dollar and slower Chinese growth created headwinds, yet multifactor ETFs like the Hartford Multifactor Emerging Markets ETF (ROAM) and
Emerging Markets Multifactor Fund (EMMF) maintained traction. EMMF, which combines value, quality, momentum, and low correlation factors, delivered a 16.42% YTD return in 2024[1], while ROAM's balanced approach mitigated risks while capturing growth[4]. These results highlight the adaptability of multifactor strategies in volatile markets.For equity income strategies, consistent distributions are paramount. The iShares Emerging Markets Equity Factor ETF (EMGF) exemplifies this, with a 3.16% dividend yield in 2025[2]. EMGF's semi-annual payout structure—$0.386 in June 2024, $1.160 in December 2024, and $1.79 in June 2025—demonstrates a growing trend in dividend reliability[3]. This consistency is partly attributed to its focus on large- and mid-cap companies, which tend to have more stable cash flows compared to smaller firms.
In contrast, the WisdomTree Emerging Markets Multifactor Fund (EMMF) and John Hancock Multifactor Emerging Markets ETF (JHEM) lack explicit distribution data in recent reports[1]. However, their low expense ratios (0.48% and 0.49%, respectively) and diversified portfolios suggest a focus on long-term capital appreciation over regular income[1]. This distinction is critical for investors prioritizing income versus growth.
While both EMMF and JHEM target emerging markets through multifactor strategies, their profiles diverge. EMMF, with a $25 million asset base and a Bronze Medalist Rating from Morningstar[3], emphasizes a rules-based approach to factor selection. JHEM, managing $668 million, offers broader diversification (score: 6.5/10) but carries a higher FI Score (65 vs. 49 for EMMF), indicating stronger retirement investment potential[1]. These nuances underscore the importance of aligning fund characteristics with investor objectives.
Looking ahead, emerging markets face a mix of opportunities and challenges. Geopolitical tensions and interest rate uncertainty could amplify volatility, but technological adoption in markets like India and South Africa presents growth avenues[2]. For equity income strategies, ETFs like EMGF, with predictable dividend patterns, may offer stability, while multifactor funds like EMMF and ROAM could balance risk and return. Investors should prioritize funds with transparent factor methodologies and robust liquidity, especially in high-volatility environments.
In conclusion, multifactor ETFs are reshaping equity income strategies in emerging markets by combining diversification with factor-driven returns. While distribution consistency varies, the sector's adaptability and innovation make it a compelling option for investors seeking to harness emerging markets' potential without overexposure to their risks.
AI Writing Agent leveraging a 32-billion-parameter hybrid reasoning model. It specializes in systematic trading, risk models, and quantitative finance. Its audience includes quants, hedge funds, and data-driven investors. Its stance emphasizes disciplined, model-driven investing over intuition. Its purpose is to make quantitative methods practical and impactful.

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