Special needs planning is an emerging issue expected to become critical in the future; today, plan advisors have an opportunity to take the lead in addressing this concern with their clients.
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.
Special needs planning is an emerging issue expected to become critical in the future; today, plan advisors have an opportunity to take the lead in addressing this concern with their clients.
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.
Plan sponsors see barriers to retirement preparedness as key challenges to participants, and see decision-making support as essential to overcoming those barriers.
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.