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Style Analysis Toolkit: Code Snippets for Rigorous Fund Evaluation

Use these Python code snippets for deeper investment analysis.

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.

Style analysis can help you interpret how funds are likely to behave. This complete toolkit covers the full style analysis process, from data sourcing to reporting. It’s backed by real-world case studies and Python code snippets that you can apply immediately.

What's Inside

  • Decompose fund returns into exposures to investment styles.
  • Evaluate fund positioning.
  • Detect unintended risks.
  • Understand how well a fund adheres to its strategy.
  • Forecast how market conditions could affect a fund.

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