Topics covered:
* Matt’s journey from engineering to investing
* Lessons learned at DFA and the foundation of evidence-based investing
* Defining factors and what makes them credible
* The role of value, momentum, quality, and size in portfolios
* The challenges of intangibles and redefining value
* Large cap tech dominance, mean reversion, and whether the world has changed
* Factor timing, valuation spreads, and Cliff Asness’ “sin” framework
* How momentum can be integrated with value tilts
* Portfolio construction: combining factors vs sleeve approaches
* Implementation challenges for large vs small managers
* How Longview manages liquidity, turnover, and trading costs
* The potential impact of AI on factor investing
* Future opportunities in implementation alpha and ETF design
* Matt’s biggest investing belief most peers disagree with
* The key lesson he would teach the average investor
Timestamps:
00:00 Value vs returns and factor investing basics
03:00 From engineering and Boeing to investing
06:15 Time at DFA and lessons in evidence-based investing
07:30 What evidence-based investing really means
09:25 Defining factors and what makes them valid
12:00 Using value, profitability, size, and momentum
16:00 Large cap tech dominance and future returns
18:00 Mean reversion and whether the world has changed
20:00 How long does value need to struggle before it’s “dead”?
22:30 Should value be redefined for intangibles?
25:30 Intangibles, R&D, and why adjustments add noise
27:00 Value’s performance across economic cycles and migration
30:00 Interest rates, growth, and value performance
32:00 Factor timing and valuation spreads
34:15 The role of momentum in timing and implementation
35:00 How Longview applies passive-aggressive tilts
36:30 Combining factors vs sleeve approaches
39:00 How momentum is used in practice
41:30 Factor migration and average holding periods
43:00 The size premium and whether it still exists
44:30 The benefits of being nimble vs large fund families
47:30 Liquidity challenges in small cap value
52:00 The role of AI in investing
54:00 Where implementation adds the most alpha
55:30 One belief Matt holds that peers may disagree with
57:20 The one lesson for the average investor
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Would you like me to also shorten this into a tighter version (maybe ~2-3 paragraphs plus 5–6 timestamps) that could be used on podcast audio platforms where space is more limited?

