Global Style Counselling: Portable Alpha Everywhere

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Societe Generale's research outlines the success of its ML-enhanced multi-factor equity models. These strategies have outperformed traditional factor models by effectively capturing non-linear alpha.

Key Takeaways

  • 1.Multi-factor equity strategies incorporating machine learning (ML) signals have outperformed traditional factor models, delivering 7.9% YTD return.
  • 2.Portable alpha strategies address challenges in long-only implementation caused by market concentration.
  • 3.Momentum remains a primary performance driver across global regions, particularly in the US and Europe.

Table of Contents

  • Multi-factor performance
  • Methodology recap
  • Current positioning and Performance drivers
  • Portable alpha
  • Regional multi-factor models
  • Pure single factors

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Authors

Georgios OikonomouLaura TossanAndrew LapthorneHugo Cellier

Securities

SGEPPFW IndexSGEPMFW Index

Themes

Machine Learning in Quantitative FinancePortable Alpha

Regions

GlobalEuropeUnited StatesJapan