From Theory to Practice: Applying AI for Factor Timing

AI Meets Factor Investing: Dynamic Strategies for Equity Portfolios

Advances in data availability and artificial intelligence (AI) techniques are transforming investment processes, creating exciting opportunities for innovation. However, these advancements also present challenges and potential pitfalls that institutional investors must navigate.

At Northern Trust Asset Management, we’ve partnered with Professor Stefan Nagel of the University of Chicago to explore efficient investment applications. Our research provides actionable insights for applying AI-driven factor timing while addressing common challenges associated with investment and AI methodologies.

Join Michael Hunstad, Ph.D. Deputy CIO & CIO of Global Equities, and Professor Stefan Nagel, as they share the findings of our joint research on Dynamic Factor Timing:

• The benefits and limitations of AI in investment strategies.
• Combining advanced AI methodologies with traditional optimal portfolio theory.
• Practical applications to factor-based portfolios.

For Use with Financial Professionals Only. Not For Retail Use.

For Asia-Pacific markets, this information is directed to institutional, professional and wholesale clients or investors only and should not be relied upon by retail clients or investors.