Episode Summary
Executive Summary: Patrick O'Shaughnessy interviews Ricky Sandler of Eminence Capital on how market structure, liquidity, and valuation distortions shape stock picking, then speaks with Roger Freeman and Jed Gore about how data science tools like Canalyst’s Candice are being integrated into fundamental investing.
Main Topics: Single CIO vs. committee (Priority: 9/5): Sandler argues a single accountable CIO beats committee governance for capital allocation. Mispricing over business quality (Priority: 10/5): He says great businesses can still be poor trades if valuation embeds unrealistic expectations. Market structure and volatility (Priority: 10/5): Passive, quant, retail, and non-fundamental flows create wider mispricings and fewer useful signals. Shorting and portfolio construction (Priority: 8/5): Mispricing helps longs more than shorts because shorts can get squeezed as positions move against them. Liquidity, rates, and the 2022 setup (Priority: 9/5): He sees a post-liquidity regime shift that favors real hedge funds and fundamental stock selection. Private markets and crossover funds (Priority: 8/5): He warns late-stage private valuations are detached from public-market reality and likely to reset. Data science in fundamental investing (Priority: 7/5): Freeman and Gore describe how Candice helps analysts scale workflows and connect data to models.
Key Arguments: A single CIO is vital because committee decision-making breeds consensus and weak accountability. Mispriced securities matter more than 'great businesses' because valuation can swamp business quality. Bottom-up fundamental investors matter less intraday as passive and non-fundamental flows set prices. Longs benefit from volatility because they can add on weakness; shorts face unlimited risk. Liquidity is both financial and psychological, affecting risk appetite, multiples, and capital deployment. Private companies are often overvalued versus public comps and will need to reprice in public markets. Data science helps analysts do more with less by automating repetitive model work and scaling coverage.
Data Points: Assets managed by Eminence strategies: over $8 billion - Ricky Sandler describing Eminence Capital's scale Investor tenure at Eminence PMs below Sandler: 12 years - Average tenure of the 6 PMs beneath him Eminence track record goal: 40-year track record - Sandler's motivation to build an enduring firm Private exposure in portfolio: 5% or 6% - Sandler describing Eminence's private investments Passive ownership in markets today: 55% passive investing today - Sandler on changing market structure Historical passive ownership: 20% or 25% passive - Sandler contrasting earlier market structure Wait list for Levels private beta: 150,000 people - Sponsor mention in the intro Neuberger data science team size: about 10 people - Roger Freeman describing his team Analyst coverage scale today: 100 names - Jed Gore noting current analyst workloads Manual earnings sensitivity workflow duration: close to three days - Roger Freeman describing the pre-Candice process Candice workflow runtime: a couple of minutes - Automated earnings sensitivity in Python Market cap share of energy today: 1% or something - Sandler's example of sector shrinkage Market cap share of energy historically: 12% or 13% - Sandler comparing past vs present market structure Expected timing of private markdowns: next two years - Sandler's forecast for private valuations Fed policy inflection date: November 15th - Sandler marking the start of tightening/tapering Candle/Candice usage instruction: pip install, Candice - Gore describing the product's local install model Candice naming inspiration: Pandas - Gore's explanation of the product name
Pivotal Quotes: "management by committee is dangerous" — Ricky Sandler: Explaining why a single CIO structure is preferable "We're trying to buy mispriced securities and short disappointments" — Ricky Sandler: Defining Eminence's investment philosophy "The market is giving you less and less signals today than it ever has" — Ricky Sandler: His view on how volatility should be used by investors
Implications: The episode suggests investors should focus on process, liquidity, and pricing discipline now, while the data-science segment shows fundamental workflows are being rebuilt around scalable tools.
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