Style volatility has also raised hurdles to performance. Although we strongly believe traditional style-based investing such as growth and value equities has historically offered long-term return benefits, investors must often cope with long periods of underperformance along the way. Over the last 10 years, the dispersion of factor index returns widened significantly compared with 2005–2015, meaning investors paid a heavy penalty for choosing the wrong style at the wrong time.
Combining Fundamental Insights and Quantitative Controls
So how can investors overcome these challenges? As we see it, the key to consistency is to create an active portfolio that combines the benefits of broad fundamental research and quantitative tools.
This approach is based on a simple philosophy. Skilled fundamental analysts are great at identifying undervalued securities that can outperform over the long term. Quantitative risk controls can help manage portfolio risk and neutralize factor tilts, which supports more consistent results. In other words, this type of strategy can isolate high-conviction active positions while deploying quantitative tools to optimize a portfolio and ultimately overcome the erratic style winds that may blow a portfolio off course.
Fundamental Research: Company Expertise Still Matters
Style risk feels particularly acute today. The rapid growth of artificial intelligence has driven both the outsize returns of hyperscalers and adjacent names and has punished companies perceived to be at risk of disruption, notably those in enterprise software. Heightened geopolitical stresses have also added to this cocktail of risk. We think deep company research can pave the way to differentiated positions in broader parts of the market. But sharpening stockpicking in a core equity portfolio requires access to a large pool of fundamental research across the style spectrum.
Skilled value, growth and core equity managers have expertise in different investing disciplines. Value investors search for underappreciated shares of companies with quality businesses and improvement prospects by focusing on the disconnect between fundamentals and valuation. Growth portfolios target accelerating and profitable growth, while core equity investors look for steady compounders derived from resilient long-term cash flows. Tapping into fundamental research across styles enables an equity strategy to choose the highest-conviction holdings with complementary features that can provide balance through changing factor regimes.
Quantitative Building Blocks for Portfolio Construction
But sourcing an array of fundamentally attractive holdings doesn’t provide adequate risk control on its own. Quantitative research can make the difference by addressing critical questions.
What are the expected returns for all portfolio candidates and holdings? How do securities sourced across the market diversify one another? How can we limit unintended or uncompensated risks in the portfolio? Does the strategy’s risk budget warrant constraints on specific position sizes?
Quantitative models can answer these questions and apply them to portfolio construction. Well-designed quantitative tools can help limit factor exposures and augment returns from security selection while calibrating weights to broaden risk. The model can be designed to optimize holdings and create a well-structured equity portfolio.
A Sturdier Foundation for Smoother Return Patterns
This framework supports steadier investment outcomes in three ways.
First, it can construct a portfolio with index-like characteristics. That means there are no big sector, country or factor tilts, which often fuel volatility.
Second, limiting a portfolio’s vulnerability to those biases allows stock selection to be the primary return driver.
Third, taken together, this structure supports a relatively modest excess return target at a similarly modest tracking error. Instead of shooting for the stars, we think this type of strategy can beat the benchmark without suffering wild swings that may undermine confidence in turbulent markets. In fact, our research suggests that core equity portfolios with lower tracking error have outperformed over time (Display).