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Episode TimeStamps:
00:00 - Intro and welcome to the Systematic Investor Series
00:23 - Catching up with Rob and a cold, sunny UK
01:35 - Is trend following an edge or a risk premium?
03:38 - Overcomplicating edges and the Cliff Asness perspective
04:30 - Renaissance’s bad month and how even legends struggle
09:25 - Managed futures ETFs, performance narratives, and media framing
11:22 - AI, Nvidia and what an “AI bubble” might mean for trends
13:10 - Trend barometer, current positioning and where returns come from
18:35 - George’s question: robustness testing, overfitting and multiple testing
25:45 - How often to re-fit models and when to leave parameters alone
27:44 - Frederik’s question: intraday versus end of day for medium term trend
32:10 - Why trend following struggles on single assets and very fast timeframes
34:07 - Abraham’s question: what Rob would do differently after a decade live
41:05 - Carlo’s question: static vs dynamic sizing, skew and volatility targeting
46:07 - Rebalancing frequency, buffering, and asymmetric volatility risk
50:49 - Dario’s question: sentiment indicators, skew and what Rob actually uses
53:10 - Andreas’ question: ATR vs standard deviation and daily vs weekly data
56:29 - Stops, intraday execution and combining slow trend with fast mean reversion
59:27 - CalPERS adopts the total portfolio approach: what changes and why it matters
01:08:12 - Boxes, sleeves and why CTAs never fit neatly anywhere
01:11:55 - Could TPA be a game changer for trend following allocations?
01:14:19 - ChatGPT, consultants and the future of portfolio construction language
01:16:18 - Closing disclaimers and how to send in future questions
