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As quantitative investing has evolved to integrating vast alternative and behavioral datasets, we believe the edge now lies in how effectively information is built into a repeatable process. With the proliferation of these tools, the line between fundamental and quantitative investing has blurred. Most managers today operate somewhere on a spectrum, using systematic tools to evaluate opportunities more consistently and broadly. The challenge is that widespread adoption of the same risk models and the path to tracking error optimization has pushed many active managers, whether purely fundamental or quantitative, toward similar benchmark-aware positioning.
The implication for active management is significant: as portfolios increasingly mirror the index, the distinction between active and passive becomes more about labeling than genuine differentiation. We believe that true alpha potential requires moving beyond benchmark construction and implementing investment processes that leverage quantitative efficiency but are grounded in identifying attributes like valuation, fundamentals, and earnings that have demonstrated durability across full market cycles.
Our presenters:
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