Math + History + Finance = DataDriven Process

The DataDriven Process is a mathematical system we utilize to lower volatility and reduce a portfolio's risk. Advisors follow our process to construct a diversified asset allocation. 

We start with market cap on the equity side.

The large blue section is the U.S. stock market, encompassing 38%* of global market cap.

*Percentages are not current.

Adjust market cap weightings.


We overweight cheap countries and underweight expensive ones, using both Shiller PE and Market Cap to GDP in the valuation process. These two metrics have had historically high correlations to forward looking returns. 

As seen in the chart at left: as valuation increases (x axis), future returns decrease (y axis).

Shiller PE has had over 90% correlation to forward returns for the U.S. stock market. As of early 2018, the data implied very low future returns. Our DataDriven Process incorporates the data, resulting in an underweight of the U.S. market. 

Increase or decrease country specific weightings.

Incorporating size and valuation through our process results in lowering the weighting in U.S. equities by 40%*.

*Percentages are not current.

We eliminate the need to predict the future.

Using current data, we incorporate market cap size and valuation, global GDP, country specific debt burden, currency size and valuation, and asset class correlation among other factors.

The result is a robust, globally diversified portfolio.

Typical Wall Street Portfolio


Wall Street tends to succumb to an investing flaw called home bias, increasing portfolio risk without increasing expected return.   

DataDriven Process™ Portfolio


Using our DataDriven Process, we take a global approach to portfolio construction, maximizing diversification in an effort to reduce risk.