
Practical Lessons from Cliff Asness
Excess Returns
Evolving Perspectives in Factor Investing
This chapter delves into the changing landscape of factor investing, emphasizing the need for openness to various investment theories that prioritize efficacy over traditional rationale. The speakers discuss the balancing act between intuition and data-driven methodologies, especially in the context of leveraging advancements in machine learning. They also advocate for continuous adaptation in investment strategies while appreciating the importance of integrating fresh insights from academic research.
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