The Basics of Returns-Based Style Analysis Fetching Data for Style Analysis Case Study: Looking for Investment Style Drift Unlock More Code Snippets for Rigorous Fund Evaluation Investors choose funds ...

Python is a popular programming language extensively used in various applications including Natural Language Processing (NLP). Sentiment analysis, a frequent NLP task, aids in understanding the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Active managers aim to build investment products with intentional style positions. But over time, drifting style exposures can lead to disappointing performance and higher-than-expected risk levels.