The fund seeks capital appreciation by investing in companies across any size outside the United States.

The sub-adviser’s investment process starts with a list of companies in the benchmark index and the research team utilizes quantitative techniques and fundamental analysis to identify investment opportunities.

Next, the research team invests significantly in equity securities of companies in developed markets outside the United States.

The team utilizes a proprietary, quantitative model (the EquBot Model) that runs on the IBM Watson platform.

Each day, the EquBot Model ranks each company based on the probability of the company benefiting from current economic conditions, trends, and world events.

Next, the EquBot Model identifies approximately 80 to 250 companies with the greatest potential over the next twelve months for appreciation.

Then the manager constructs a portfolio of stocks from a list of companies favored by the research team and allocates capital based on its conviction level.