Dynamic Large Cap Value Equity
At a Glance
- Primary Benchmark: Russell 1000® Value Index
- Universe: Large-capitalization U.S. common stocks
- We purchase stocks with attractive valuations as indicated by either a low P/E or P/B and with high rankings based on our quantitative multifactor score.
- The factor weights in our multifactor score vary depending on market conditions as determined by our dynamic shifting tool.
- Our portfolios generally purchase all stocks on a capitalization-weighted basis.
- Cash is residual of the investment process. We manage portfolios with the goal of remaining fully invested at all times.
Objective
We seek to outperform the Russell 1000® Value Index by investing quantitatively in undervalued large-cap stocks, as identified by a low price-to-earnings (P/E) or price-to-book (P/B) ratio, while avoiding significant downside relative to the index.
Investment Process Summary
We invest in undervalued large-cap stocks with an attractive ranking in our quantitative multi-factor model. Our process uses a dynamic shifting tool that determines the appropriate mix of our quantitative factors based on market conditions, including valuations spread across the broad stock universe.
From the universe of U.S. equities, we identify stocks with:
From the universe of U.S. equities, we identify stocks with:
- Market capitalizations among the largest 1,000 U.S. stocks by market capitalization
- Low P/E or P/B ratios with specific valuation limits determined by our dynamic shifting tool
Quantitative Focus
We select stocks from our large-cap value universe based on three major factor categories, each grounded in persistent investor behavioral biases:
We test our factors and models in numerous historical market cycles over the last 50 years to limit underperformance in unfavorable markets and improve performance consistency.
- Valuation: Traditional measures of worth, such as P/E and P/B, to capture the value anomaly
- Sentiment: Key signals, such as stock price momentum, to validate purchase timing
- Quality: Indicators of financial health that reduce performance volatility associated with valuation and sentiment factors alone
We test our factors and models in numerous historical market cycles over the last 50 years to limit underperformance in unfavorable markets and improve performance consistency.
Portfolio Management
We combine a stock’s ranking on our valuation, sentiment, and quality factors to create a single quantitative multifactor score for each stock. We purchase the stocks with the highest rankings on a capitalization-weighted basis. The portfolio sells a stock when either 1) both its P/E and P/B ratio no longer meet our value criteria, or 2) its multifactor score falls below our sell limit.
Portfolio Results
Our disciplined strategy has produced not only strong excess return versus the Russell 1000® Value Index, but also a high information ratio and outperformance on average in both up and down markets.