June 17, 2026
What are managers saying about factor crowding and quant positioning?
What the sources say
Points of agreement
- •The growth of quantitative funds and algorithmic trading is arbitraging away alpha from traditional strategies and compressing margins.
- •The effectiveness of investment factors is not static; it changes over time and is highly dependent on market context.
- •The market has seen a significant shift in participants, with quantitative and short-term funds growing in influence relative to traditional fundamental investors.
Points of disagreement
- •Managers disagree on the future of the value factor, with some seeing a multi-year recovery while others believe its alpha has been arbitraged away.
- •There are conflicting views on whether the rise of quant investing has increased market efficiency by competing away mispricings or decreased it by focusing on short-term flows.
- •Firms show different approaches to adopting new AI, ranging from cautious, transparent integration to massive, simultaneous investment that risks compressing industry margins.
Sources
Cliff Asness, Founder, Managing Principal, and Chief Investment Officer of AQR Capital Management (Talks at GS, Sep 6, 2022)
Cliff Asness discusses AQR's systematic factor approach, the firm's role in fee compression, and his bullish outlook on the value factor due to wide valuation spreads.
Daniel Mahr – Glass Box Quant at MDT Advisers (EP.472) (Capital Allocators, Nov 20, 2025)
Daniel Mahr explains MDT's transparent 'glass box' machine learning strategy, which emphasizes that the predictive power of factors is highly context-dependent.
Gavin Baker – Truth-Seeking and Crossover Investing at Atreides (EP.489) (Capital Allocators, Mar 2, 2026)
Gavin Baker argues that quantitative investors and algorithms have arbitraged away the alpha that was previously captured by fundamental value managers.
Inside Hudson River Trading's Blistering Token Burn | Odd Lots (Odd Lots, Jun 5, 2026)
Ian Dunning predicts that simultaneous, massive investment in AI for trading by quant firms will lead to margin compression as predictive advantages are competed away.
Kelly Granat - Investing At Lone Pine (Invest Like the Best, Mar 12, 2025)
Kelly Granat observes that the rise of multi-manager 'pod' shops has made stock reactions to earnings unpredictable, as positioning often outweighs fundamentals.
Inside Dan Sundheim's Bets on Anthropic, OpenAI, and SpaceX (Invest Like the Best, Feb 24, 2026)
Dan Sundheim posits that market efficiency has declined due to a participant shift from long-term fundamental investors to passive funds and short-term oriented quants.
Related questions
Which specific characteristics differentiate value strategies that are still expected to perform from those considered 'arbitraged away'?
→How are quant firms adapting their models to account for factor decay and the changing context-dependency of factors like momentum?
→As quant positioning increasingly influences short-term price action, what new sources of alpha are emerging from these market structure changes?
→What is the evidence for and against the claim that the rise of quant investing has decreased overall market efficiency?
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