The 4,000 Stock Universe Most Fund Managers Can't Fully Cover - and How Goldman Sachs Does

Why It Matters

Goldman’s AI‑driven, data‑intensive process shows that systematic research can generate outsized, low‑correlated returns in the overlooked small‑cap space, offering investors a scalable way to diversify and capture hidden value.

Key Takeaways

• Goldman uses AI to scan 4,000 small‑cap stocks daily.
• Focus on asset‑heavy, low‑obsolescence firms less vulnerable to AI disruption.
• Japan’s industrial small caps and European infrastructure are top thematic picks.
• Four‑pillar model blends fundamentals, custom valuations, sentiment, and thematic analysis.
• Diversified 350‑750‑stock portfolios reduce volatility and generate uncorrelated alpha.

Summary

The interview spotlights Goldman Sachs Asset Management’s Yarra Global Small Companies Fund, which leverages artificial intelligence and massive alternative data sets to monitor a universe of roughly 4,000 global small‑cap equities. By ingesting thousands of unstructured data sources—regulatory filings, patents, earnings calls—and applying compute‑intensive machine‑learning models, the team can surface thematic links and pricing gaps that traditional research often misses. Key insights include a focus on asset‑heavy, low‑obsolescence businesses that are less likely to be displaced by AI, and a geographic tilt toward Japan’s industrial small caps and Europe’s infrastructure and construction firms, both benefitting from recent fiscal and reflation policies. The fund’s quantitative framework rests on four pillars: high‑quality fundamentals, bespoke valuation metrics tailored to each peer group, market‑sentiment signals, and real‑time thematic exposure analysis. Dennis Walsh cites a concrete example: an HVAC supplier whose cooling technology aligns with data‑center expansion—a link identified by AI that re‑rated the stock despite its modest “HVAC” label. The strategy has delivered a 9.34% excess return over the MSCI World Small‑Cap Index in the past year, drawing on 36 years of intellectual capital, Goldman’s data infrastructure, and systematic risk controls across a diversified 350‑to‑750‑stock portfolio. For investors, the approach demonstrates how technology can unlock alpha in under‑researched small‑cap markets while providing diversification benefits. The blend of deep data coverage, custom valuation, and thematic agility offers a replicable edge in an environment where traditional large‑cap focus dominates.

Original Description

Small companies are exciting for several reasons that appeal to human nature - they're often innovative, riskier, and have the ability to become the Next Big Thing.

But that gloss can quickly rub off when the lack of coverage and the enormous number of stocks out there are enough for any investor to lose steam.

We sat down with Dennis Walsh, who is the Global Co-Head of Quantitative Investment Strategies at Goldman Sachs Asset Management and co-manages the Yarra Global Small Companies Fund, to share his insights into the often under-researched and widely-dispersed global small cap universe.

This interview was filmed 25th March, 2026.

Read the summary here: https://bit.ly/4txZomo

Timecodes:

00:00 – Intro: AI, big data and global small cap opportunities

00:25 – Key market themes: risk, geopolitics and AI dispersion

01:19 – Why small caps are back on the radar

02:26 – Where the opportunities are: Japan and Europe

03:39 – Inside the investment framework and pillars

05:42 – How AI and alternative data drive insights

07:38 – Small caps: risk vs diversification benefits

08:52 – Where outperformance comes from

10:50 – Managing a highly diversified portfolio

11:54 – How the system adapts to volatile markets

13:20 – Finding mispriced opportunities in an AI-driven world