Key Takeaways
  • The small-cap factor enjoyed a strong rebound in performance in February. The value and low-volatility factors also outperformed.
  • Our dynamically weighted factor portfolio outperformed the S&P 500 by 0.5% in February. Since the start of 2020, this strategy has outperformed the S&P 500 by a total of 4.9%.
  • After the latest rebalance, the dynamic factor portfolio is now overweight value and quality while being underweight size (small-cap) and growth.
  • Starting this month, we add an additional section to discuss the performance of our stock selection model. In February, a basket of the model’s favored stocks outperformed the S&P 500 by 0.66%.

Factor Performance Review

Of the six factors we track (growth, quality, low-volatility, momentum, size, and value) in our multi-factor strategy, the low-volatility factor enjoyed the best performance over the past month, turning in 4.7% relative to its benchmark. The small-cap factor also had a good month, earning 3.8% relative to its benchmark; the strong performance for small-caps followed a weak January, when the small-cap factor underperformed by 4.5%. Value also outperformed over the past month, contributing 2.2%. Performance for each of the six factors is shown as the gray bars in Fig. 1.

Despite its strong performance last month, the size factor (small-caps over large-caps) still lags the other five factors, as it has underperformed by 19.9% on a trailing 12-month basis. Also, despite its recent outperformance, value continues to lag on a trailing 12-month basis.

Fig. 1 – Recent Performance of Factors

March Factor Commentary
Source: Bloomberg, S&P, Russell, Fundstrat analysis.

Multi-Factor Portfolio Performance Review

We apply a dynamic tilting mechanism to a multi-factor portfolio that adjusts weight toward the factors with the best recent performance, and away from the factors with the worst recent performance. Fig. 2 shows the cumulative performance of this dynamic multi-factor strategy relative to the S&P 500 since 1997.

Fig. 2 – Dynamic Multi-Factor Strategy Relative Performance

March Factor Commentary
Source: Bloomberg, S&P, Russell, Fundstrat analysis.

From the start of 2020 through March 4, 2022, the dynamic multi-factor strategy returned 38.9%. Over that same period, the S&P 500 gained 34.0%, for 4.9 percentage points of outperformance for our strategy. Fig. 3 below shows the monthly performance of the dynamic strategy vs. the S&P 500 since the start of 2020. The dynamic strategy turned in a positive return for February, outperforming the S&P 500 by 0.5%. An overweight toward the low-volatility factor in February contributed to the outperformance.

Fig. 3 – Dynamic Strategy Recent Relative Performance

March Factor Commentary
Source: Bloomberg, S&P, Russell, Fundstrat analysis.

Dynamic Model: Factor Weights for March

Fig. 4 below indicates the latest weights assigned to each of the six factors in the dynamic multi-factor strategy. The dynamic strategy is currently overweight the value and quality factors while being underweight size (small-cap) and growth.

Fig. 4 – Updated Factor Weights in Dynamic vs. Static Multi-Factor Portfolio

March Factor Commentary
Source: Bloomberg, S&P, Russell, Fundstrat analysis.

Baseline Stock Selection Model: Performance and Discussion

We recently launched a stock selection framework that uses factors across five dimensions (value, quality, momentum, estimates and investment) to predict stock performance. The model produces a list of 100 favored investments from across the S&P 500 constituents. As an ongoing part of these monthly updates, we will report on the performance of the stock selection framework. Fig. 5 below shows the historical performance of the basket of 100 favored stocks, rebalanced monthly.

Fig. 5 – Performance of Long Basket of Stock Selection Model (Relative to S&P 500)

March Factor Commentary
Source: S&P, Factset, Fundstrat analysis.

Fig. 6 below shows the performance of the favored baskets for each of the 5 composite factors (value, quality, momentum, estimates and investment) that make up the stock selection model, along with the performance of the overall model for February. The overall model contributed 0.66% of outperformance relative to the S&P 500 during the past month (yellow bar at right). At the factor level, value and investment enjoyed the best performance, while the quality basket underperformed its benchmark.

Fig. 6 – Performance of Factors and Overall Model for February

March Factor Commentary
Source: S&P, FactSet, Fundstrat analysis.
Disclosures (show)

Stay up to date with the latest articles and business updates. Subscribe to our newsletter

Articles Read 1/2

🎁 Unlock 1 extra article by joining our Community!

Stay up to date with the latest articles. You’ll even get special recommendations weekly.

Already have an account? Sign In

Don't Miss Out
First Month Free