High Quality

• Concentrated portfolio of about 30 stocks, equal-weighted, and rebalanced every 12-15 months.
• Universe: Wilshire 5000 (about 3,500 companies), U.S.-listed equities.
• Initial filter based on data quality, and attributes such as size (>$2 billion), growth, profitability, and financial discipline.
• Intermediate result is a smaller universe of about 500-1,500 companies to pick from.
• Additional overlay of proprietary fundamental criteria with demanding long-term performance hurdles.
• Final blend of screens that include near-term performance criteria, reasonable valuation requirements, and performance
  ranking to arrive at a set of about 30 picks.
  

Reinforced Value

• Long-only quarterly rebalanced portfolio of about 30 stocks, equal-weighted
  
• Universe: Wilshire 5000 (about 3,500 companies), US-listed equities
• Initial filter based on data quality, and attributes such as size (>$500 million), growth, profitability, and financial discipline. Intermediate  result is a smaller universe of about 500-1,500 companies to pick from
• Additional overlay of proprietary fundamental criteria with demanding long-term performance hurdles
• Final blend of screens that include near-term risk-metrics along with relative performance measures
  

Bayesian

• Quality & Value Fundamentals Portfolio
  • Systematic selection of a core portfolio of stocks based on growth, profitability and financial discipline.
  • The core portfolio is long-only, predominantly US equity and rotated annually. The core portfolio has a track record of beating the S&P 500 over
    multi-year periods.
• Bayesian Trading Edge
  • Proprietary quantitative overlay that enhances the baseline returns of the core portfolio via opportunistic trading (long-only) of
    concentrated (10 stock) monthly portfolios.
  • Trade selections made exclusively from among constituents of the core portfolio

Sustainable Equity (ESG)

• Screen universe (S&P 500) for ESG progressive companies
• Exclusionary screens to eliminate bad actors
• Inclusionary screens to find the best of those remaining
• Screen universe for 36 Alpha generating factors
• Roughly half the factors are fundamental and half risk-based
  
• Optimize using a Higher Moment Risk Optimizer

Equity Income

• Screen universe (S&P 500) for stocks with higher yields than the index
• Screen universe for stocks with consecutive years of dividend increases
• Screen universe for higher quality companies than the index
• ROE
• Free Cash Flow to Dividend Yield Ratio
• Accrual Ratio
• Debt to Equity Ratio

All Cap Equity

• Screen universe (all US traded stocks) for aggressive legal insider buying
• Screen universe for positive earnings estimates revisions and EPS surprises
• Screen universe for momentum and fundamental value
• 12-month price appreciation
• 6-month price appreciation
• return on assets
• price to cash flow

Asset Allocation

• Adjust Asset Allocation template to consider non-normal risks
• Serial correlation
• Fat tails
• Correlation breakdown
• ETFs must possess the following characteristics:
• A Rules-Based methodology
• Asset class and asset category purity
• Sufficient testing
• Reliable sponsorship and liquidity
• Ability to address one of the 20+ timely Asset Allocation risk factors identified by EAM 
• Existing product competition
• Competitive short-term Alpha vs competition within category
• Competitive expense ratio
• Favorable taxation characteristics

Sector Rotation

• Screen (S&P 500) for positive or negative momentum
• Screen sectors for positive or negative momentum