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- Insights & Research
Unlocking Value With Network Alpha
- Portfolio Construction
- Factor Investing
- Insights
Network Alpha applies a network lens to equity investing - mapping how companies are connected through supply chains, technology linkages, business peers, competitive and other relationships - to add information that traditional, company‑by‑company analysis may miss. Advances in NLP/LLMs make it possible to extract these links at scale from corporate filings and other primary sources, then translate them into investable signals.
This article draws on and briefly summarizes the Research Insights paper “Uncovering Alpha in the Networked Economy” (de Lange, e.a., 2025) which lays out: how we build company networks from primary data, where text‑based networks add value, and how network signals are constructed and validated in backtests.
Example of a Competition Network in the MSCI ACWI Universe
Why Network Alpha Now?
- Modern economies are networked. Companies compete, collaborate and share technologies across and beyond the boundaries of standard industry classifications; those relationships can be measured and updated systematically.
- Text-based networks scale globally. Using filings and LLM-assisted extraction, coverage extends broadly across developed and emerging markets.
- Signals through networks. “Impulse” signals - e.g., information flows or price trends - can be traced through company networks to form investable signals.
Key Benefits Of Embedding Network Alpha Signals
Network Alpha can help investors:
- See information others overlook. A network lens surfaces connections between companies that may be under reflected in prices or fundamentals viewed in isolation.
- Refine factor implementation. Network aware versions of common factors can provide more contextual exposures and more balanced risk.
- Diversify alpha sources. Network signals are designed to capture idiosyncratic, economically intuitive effects that are less correlated with traditional factor definitions.
- Adapt to change. Because relationships evolve, network maps and derived signals update as new disclosures arrive - helping portfolios seek resilience across shifting regimes.
Integration Into Adaptive Equity And Factor Strategies
In NTAM’s Adaptive Equity strategy, Networks is a core sleeve within the strategy’s multi‑theme architecture. The sleeve aggregates proprietary network‑based signals – such as Peer Sentiment and Competition Links - that are designed to systematically capture information that diffuses across related companies. These signals are integrated in a risk‑aware portfolio construction framework alongside the other Adaptive themes, with controls for exposures and turnover.
In NTAM’s Factors products, Network Alpha can be incorporated as a refinement to Value, Quality and Momentum exposures - for example:
- Network-Relative Value: value measured against a firm’s network peers and competitors to better reflect business model context;
- Peer-informed Momentum: momentum that considers how trends propagate through connected firms.
These uses can make factor portfolios more forward-looking and context-aware while respecting client risk and implementation constraints.
How AI-Based Models Are Driving Alpha Generation
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Northern Trust Asset Management (NTAM) is composed of Northern Trust Investments, Inc., Northern Trust Global Investments Limited, Northern Trust Fund Managers (Ireland) Limited, Northern Trust Global Investments Japan, K.K, NT Global Advisors, Inc., 50 South Capital Advisors, LLC, Northern Trust Asset Management Australia Pty Ltd, and investment personnel of The Northern Trust Company of Hong Kong Limited and The Northern Trust Company.
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