Oil Curve: Front- vs Back-Of-Curve Dynamics

Markets often appear logical in hindsight, yet behave unpredictably in real time. In this episode, Niels and Yoav explore how recent events, from geopolitical shocks to shifting narratives, reveal the limits of traditional explanations. They discuss why assets like gold and bonds no longer react as expected, how flows and positioning can dominate price action, and why dispersion across managers increases during periods of stress. The conversation also examines the role of machine learning, the impact of volatility on execution, and the challenges of managing risk in fast moving markets. At its core, this is about navigating uncertainty when structure and narrative begin to diverge.

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Episode TimeStamps:

00:00 - Introduction to the series

01:19 - What is on the radar: markets and recent developments

01:19 - The EM algorithm and its relevance to machine learning

04:12 - Election narratives and unpredictability in real world outcomes

06:51 - Gold, war, and why markets react unexpectedly

09:07 - Inflation narrative vs risk off reality

14:13 - Bond equity correlation breaking down

17:29 - Fixed income volatility and regime uncertainty

24:58 - Oil curve dynamics and supply constraints

27:39 - Risk management differences between discretionary and systematic

37:23 - Market flows, positioning, and forced liquidations

41:30 - Excess volatility and what really drives markets

49:36 - Trend vs value vs noise traders explained

56:34 - Diversification, capacity, and portfolio construction

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