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RWEM is a rules-based emerging markets large-cap equity ETF that aims to track the FT Wilshire Emerging Large NxtGen Index.
Instead of simple market-cap weighting, it uses a multi-factor process where machine-learning models digest a large set of fundamental and technical signals to estimate better risk-adjusted return potential, while keeping sector and single-stock concentrations in check versus a broad EM large-cap benchmark.
The index is refreshed quarterly using prior month-end data, making it a systematic approach rather than discretionary stock picking.
You’re buying a basket of big companies from emerging market countries. The basket gets reshuffled by a “data-driven recipe” that tries to pick stronger stocks using lots of signals, not just company size.
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Breakdown of RWEM by sector weightings (%)
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Top countries by weight (%)
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