The Benefits of a Value Composite

Episode Summary

Executive Summary: The episode explains how systematic value investing can be implemented using one metric or a composite of multiple metrics. The hosts argue that value measures vary in effectiveness over time, so blending them can reduce the weaknesses of any single metric, improve diversification, and create a more durable long-term process for investors.

Main Topics: Ways to implement systematic value investing (Priority: 5/5): The hosts contrast simple value screens based on a single ratio with broader systematic approaches that rank stocks by relative cheapness across a universe. Value metrics and their differences (Priority: 5/5): They review common ratios such as P/E, price-to-book, price-to-sales, EV/EBITDA, and price-to-cash-flow, emphasizing that each captures value differently and behaves differently over time. James O'Shaughnessy and the value composite model (Priority: 5/5): The discussion centers on O'Shaughnessy’s research in What Works on Wall Street and the VC2 composite strategy, which combines several value measures to improve robustness. Strengths and weaknesses of individual metrics (Priority: 4/5): They explain that each value metric has flaws: price-to-book struggles with intangibles and negative equity; price-to-sales ignores profitability; EV/EBITDA may favor asset-heavy firms. How the composite is built and used (Priority: 5/5): The model ranks stocks by each metric, sums the ranks, and selects the cheapest names across all measures, then applies quality filters before portfolio inclusion. Diversification and behavioral benefits (Priority: 4/5): A composite can reduce sector concentration and smooth performance across cycles, potentially making the strategy easier for investors to stick with.

Key Arguments: Value is not a single concept; there are multiple legitimate ways to measure it, and their performance can diverge significantly over time. Selecting one value metric is itself a bet, so using a composite may be a better way to avoid relying on an uncertain forecast about which metric will work best. O'Shaughnessy’s research suggests price-to-book has historically been one of the weakest long-term value measures, despite its popularity in academic work. Combining several flawed metrics can reduce the impact of any one metric’s shortcomings and create a more balanced estimate of cheapness. A composite approach can improve sector diversification because different metrics tend to favor different industries at different times. For many investors, a blended value process may be both more robust in returns and easier to follow behaviorally because it can be less volatile than a single-metric approach.

Data Points: Public strategies with value exposure: More than 50% - One host says over half of Validia’s 22 public strategies have some value component or bias. Validia public strategies: 22 - Referenced as the number of publicly run strategies at Validia Capital Management. Backtest history in O'Shaughnessy research: Back to 1964 - The VC2 and related strategies were tested using the S&P Compustat point-in-time database over more than 50 years. Original publication year of What Works on Wall Street: 1996 - Used to frame the historical development of O'Shaughnessy’s research. Universe size: About 2,800 companies - The strategy ranks the full database of stocks across the value metrics. Portfolio concentration: Top 1% to 2% of stocks - The model portfolios hold the cheapest names by composite ranking after quality filters are applied. Backtested annual return of VC2: About 18% annually - One host cites O'Shaughnessy’s backtested performance for the VC2 value composite strategy. Current model performance period: Since the end of 2008 - The hosts note their best-performing composite value model has had a similar type of return over this period.

Pivotal Quotes: "value can actually be very complex" — Jack: Explaining that value investing is not a single idea but a family of metrics with different behavior over time. "if I can't figure out which value metric is going to be best going forward, my best option may be just to measure value using a bunch of different ways" — Jack: Making the core case for a composite value model rather than betting on one metric. "you don't want to take risks unless you're going to get compensated for those risks" — Justin: Arguing that choosing one metric over a composite may be an unnecessary risk for most investors.

Implications: Listeners should consider using multiple value measures rather than relying on a single ratio. For systematic investors, composites may offer more durable performance, better diversification, and a process that is easier to maintain through cycles.