Nick Baltas is back with Niels for a conversation that sits at the intersection of technology, uncertainty, and discipline. As AI-generated data floods the system and market reversals grow sharper, the challenge isn’t just strategy design — it’s deciding what still counts as signal. They explore how systematic managers are rethinking volatility targets, why certain constraints persist in institutional portfolios, and what recent underperformance may actually be revealing. This episode is less about solutions than about orientation: how to stay aligned when the tools evolve faster than the terrain, and when conviction must coexist with doubt.
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Episode TimeStamps:
00:01 - Introduction to Systematic Investing
02:11 - The Impact of AI and Machine Learning on Data Analysis
07:05 - The Impact of AI on Education and Examination Policies
12:06 - Transitioning Perspectives on Democracy and Markets
21:49 - Dynamic Volatility Targeting in Portfolio Management
24:24 - Exploring Volatility and Leverage
29:50 - Understanding Investor Behavior and Market Dynamics
36:29 - Exploring Investment Constraints and Strategies
45:04 - Rethinking Investment Constraints
49:36 - Strategic Allocations and Market Timing
56:11 - Market Dynamics and Trend Following
01:00:09 - The Evolution of Systematic Investing
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