Blog

In a crowded world where active equity strategies increasingly look alike, machine learning’s potential to deliver genuine differentiation as well as mass-customization make it an invaluable tool for investment managers.

Recent rate volatility offers a rare opportunity, but if history serves as any guide the window to act will be fast to close.  

Demystifying the role of machine intelligence in stock selection.

While the phenomenon may seem contained to a handful of stocks, we believe there are broader ramifications for active managers to navigate.  

Voya’s Equity Machine Intelligence team aims to take emotion out of the investment process to deliver alpha that is uncorrelated to more traditional equity strategies.

Separating signal from noise with natural language processing techniques.

The underperformance of value stocks over the past decade has many practitioners wondering when - if ever - valuation factors will work again for active stock selection.

Voya’s approach examines the benefits of incorporating alternatives in target date funds by integrating within glide path design critical elements such as risk premia, skill premia and excess returns relative to fees.

How does the relationship between a firm and its supply chain affect stock price performance?

The quant space has evolved dramatically—understanding what’s coming next requires a look back at where we came from.