Building a Six Factor Model Using Intangible Value with Kai Wu
Excess Returns
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The Potential Acceptance of the Six Factor Model in Empirical Finance
The speakers explore the adoption barriers and challenges faced in implementing the six factor model in empirical finance, including the need for specialized expertise in quantitative finance, unstructured data, and machine learning. They also emphasize the significance of investor education and increasing familiarity with AI and infrastructure data.
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