Tapping Private Market Insights for Public Market Investments

Man Group

Diana Zheng

Research

11 Pages

While the number of quoted US companies has declined by over 50% from a 1996 peak, private markets account for over 50% of US sales, private sector employment and GDP. This paper explains how natural language processing (NLP) can be used to analyze private market information and leverage that data to forecast public market fundamentals.

Key Takeaways

Private equity as a signal: Buyout transactions provide forward-looking data that can sharpen value factor signals in public markets
Dynamic factor modeling: Incorporating private data allows for more timely and flexible public equity allocations
Broader application potential: Insights from private market deal flow may be useful across global and sector-specific strategies
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