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NLP for Equity Investing with Frank Zhao - #424

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Innovating Bias Mitigation in Investing

This chapter explores advanced techniques in investment to address biases like lockhead and survivorship biases through innovative data practices. It emphasizes the significance of using sophisticated metrics and models, such as Spearman correlation, alongside time-stamped and PIT data to enhance analysis and prediction accuracy. Additionally, the discussion highlights the importance of building proprietary tools and understanding the underlying economic principles of models to optimize insights for institutional clients.

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