An interview with momentum manager Travis Prentice arguing that the market’s recent dispersion, the rise of passive, and AI-driven disruption are changing how investors should think about factors. He says momentum remains useful because it adapts to what is actually working, while passive concentration and AI may create new risks for large-cap, software, and quality exposures.
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This episode is a conversation between Jack Forehand and Travis Prentice, CIO of Informed Momentum Company, centered on recent market dispersion, factor behavior, passive investing, and the implications of AI for quality and software. Prentice says the market’s behind-the-scenes action has become unusually divergent, with semiconductors materially stronger than software and value/momentum benefiting from broadening participation beyond the mega-cap technology leaders. He frames this as part of larger secular shifts: AI as a capital-intensive disruption and deglobalization/nearshoring that may favor a wider set of industries and styles. A major theme is that momentum works as a discipline because it reacts to realized strength rather than fundamentals or narratives. …
Tactically, the tape favors staying nimble: momentum and selective cyclicals look better than crowded software/quality exposures while dispersion remains wide. The immediate risk is that concentration in mega-cap leaders can reverse fast if passive flows or AI sentiment shift.
Over the next few months, the base case is continued rotation toward broader participation if AI buildout and reshoring keep favoring more capital-intensive and cyclical areas. Confirmation would come from sustained relative strength in value, industrials, energy, small caps, and non-US breadth; failure would look like a re-narrowing into a few tech leaders.
Structurally, the interview argues that passive concentration and AI could mark a regime shift away from a software-led, cap-weighted market. If that thesis holds, long-horizon portfolios will need more balanced factor exposure because leadership may be more fragmented and less tied to the largest index names.
The current market dispersion reflects major, durable shifts rather than a temporary blip.
Prentice repeatedly frames the move as a structural change with profound implications, not a short-lived anomaly.
Semiconductors are outperforming while software is sharply underperforming, showing extreme dispersion beneath the surface of the index.
He gives a concrete performance comparison to illustrate current factor and sector dispersion.
Momentum investors should focus on what is actually working rather than what should be working.
He describes momentum as an agnostic, reactive discipline.
From the perspective of a factor investor who sees behind the scenes what stocks are moving, what are your perspectives on what we've seen in the recent market?
Travis notes extreme divergence between semiconductor performance (up 30%) and software (down 23%). From a factor standpoint, quality and growth are significantly underperforming broader indexes due to these extreme divergences and idiosyncrasies with quality itself.
Does the dispersion and market conditions where the index isn't doing much but there's a lot going on behind the scenes change the way you invest?
The guest says no, not really. They remain advocates for momentum investing. However, from a capital allocator's perspective, the extreme divergences between factors underscore the importance of combining negatively correlated factors that work over the long term, like quality, value, and momentum. The key reminder is that investors need diversification and many are missing momentum as a key ingredient.
Does the market move faster now with faster declines, recoveries, and sector shifts, and does that change anything in a momentum strategy like shortening look-back periods?
The guest explains that Inform Momentum Company has always favored a more recency-biased momentum formation period. Their research called 'Back to the Future' challenged the conventional 12-minus-1 look-back period. Over a subsample of the most recent 20 years, data showed that a more recency-biased approach worked better, especially in US large cap, suggesting it behooves you to move a bit quicker now.
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