该文指出，股票投资组合框架至今仍依赖Stephen Ross于1976年提出的套利定价理论（APT）和Eugene Fama与Kenneth French于1992年提出的三因子模型（市场风险、规模、风格）。该结构已经深度嵌入产品与机构：Morningstar在1990年代的3x3网格，以及按国家、行业和风格（small/mid/large；value/blend/growth）的资产分类仍然主导货架配置。作者认为该分类体系过时，因为它建立于当今大规模结构性变革之前。
我们对MSCI All Country World股票在约20年的研究显示，传统类别解释了不足一半的股票回报。类似value和growth的风格因子仅解释3%，而国家与行业合计解释21%。剩余52%未被系统性因子解释，构成最大剩余份额，表明该模型遗漏了主要驱动因素。即便数据供应商和产品设计深度建立在因子暴露框架上，这一格局仍然存在。
核心观点是，变革性创新收益常常不符合旧有分类。即使是growth筛选，也可能因为依赖历史指标（如MSCI Growth Index的方法）而错过未来变化。value仍然重要，但估值应基于未来现金流潜力，因为结构性转移会使过去的胜者变得过时。UBS表示投资者应转向两个到三个具有长期跨度的持久主题，包括AI、电气化和longevity，以便资本配置受结构性变化而非叙事动能驱动。
The article argues that equity portfolio frameworks still rely on a decades-old factor model from Stephen Ross’s 1976 Arbitrage Pricing Theory and Eugene Fama and Kenneth French’s 1992 three-factor model (market risk, size, style). This structure became embedded in products and firms: Morningstar’s 1990s 3x3 grid, plus asset-class classifications by country, sector, and style (small/mid/large; value/blend/growth), still dominate shelf allocation. The author argues the taxonomy is outdated because it predates today’s large-scale structural disruption.
Our UBS research over roughly a 20-year window for MSCI All Country World stocks shows traditional categories explain less than half of stock returns. Style factors such as value and growth account for only 3%, while country and industry together explain 21%. The remaining 52% is not explained by systematic factors, making it the largest residual share of returns and indicating the model misses major drivers. This pattern persists even though data vendors and product design are heavily built on factor exposure frameworks.
The key point is that transformational innovation returns often do not map to the old buckets. Even growth screens can miss future change because they depend on historical metrics, as in MSCI Growth Index methodology. Value still matters, but valuation should be based on future cash-flow potential when structural shifts render past winners obsolete. UBS says investors should shift toward two-to-three durable themes with long horizons, including AI, electrification, and longevity, so capital allocation is guided by structural change rather than narrative momentum.