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The growing dominance of a small number of mega-cap stocks presents a practical challenge for investors implementing factor strategies in benchmark-aware portfolios. When a handful of companies account for a large share of index weight and performance, portfolio outcomes can be driven as much by exposure to these names as by underlying factor signals. This article examines how the Magnificent Seven (M7) affect factor investing in US large-cap portfolios. The analysis shows that while the cross-sectional structure of factor signals remains largely unchanged, their realized outcomes can differ materially in concentrated markets. In particular, results depend on how these dominant stocks are positioned within factor portfolios and how they reshape relationships among factors, affecting attribution, diversification, and risk. A stylized portfolio example illustrates how adjusting for concentration can materially change excess return and tracking error. The findings highlight the need for explicit concentration-aware approaches in factor model design, portfolio construction, risk management, portfolio attribution, and mandate design.
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Zixuan Jiao (2026) studied this question.
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