In the ever-evolving financial markets, investors continuously seek strategies that can navigate changing environments. Trend following is one such strategy, designed to capitalize on sustained price movements across various asset classes. However, its performance is not consistent over time, and understanding the factors driving these fluctuations is crucial for effective portfolio integration.

Quantica Capital's recent research delves into the relationship between trend-following performance, the number of independent risk factors, and investment universe diversification. By contrasting the markedly different market environments of 2022 and 2023, the study sheds light on how the underlying risk factor structure influences trend-following success.

In 2022, the SG Trend Index, a benchmark for trend-following CTAs, achieved a record net return of +27.3%. This exceptional performance was driven by a few strong systemic risk factors affecting multiple markets and asset classes. Conversely, 2023 presented challenges for trend-followers, with the SG Trend Index posting a negative return of -4.1%. Quantica attributes this underperformance to a market environment characterized by numerous idiosyncratic risk factors, each impacting trends across a diverse range of individual markets.

To unravel the relationship between trend-following performance and risk factors, the authors employ Principal Component Analysis (PCA). PCA decomposes a strategy's returns into independent statistical risk factors, known as principal components. Each principal component represents a combination of the underlying instruments, allowing for the measurement of their contributions to the strategy's returns.

Applying PCA to a generic trend-following strategy, the researchers calculate the effective number of independent risk factors influencing performance each year, using the concept of Shannon entropy. A lower number indicates dominance by a few factors, while a higher number suggests a fragmented set of drivers.

The analysis reveals a striking inverse relationship between performance and the number of risk factors. In 2022, with strong performance, the effective number of independent risk factors was only 8. This indicates that a few dominant factors were responsible for most returns. In contrast, 2023 saw an effective number of 33 risk factors, correlating with underperformance.

Normalized gross annual returns of a generic trend-following strategy as a function of the effective number of independent risk factors required to explain its annual performance. Normalized gross returns correspond to gross strategy returns normalized to unit average squared deviation from zero over the full 2000 - 2023. The effective number of independent factors is computed as the exponential of the Shannon entropy of the absolute contributions of statistical principal component-based risk factors to the total gross returns of the strategy for each calendar year. HYPOTHETICAL RETURNS: PLEASE SEE IMPORTANT DISCLAIMERS ON PAGE 2. Source: Quantica Capital. Data as per end of December 2023.

Further extending the analysis back to 2000, the researchers consistently observe that years with fewer dominant risk factors tend to exhibit stronger trend-following performance. This pattern underscores that trend-following success is not merely about individual market trends but is deeply influenced by the broader structure of risk factors driving those trends.

The study also explores how investment universe diversification can mitigate challenges in environments with many independent risk factors. The authors posit that a more diversified investment universe might better capture the diverse trends driven by idiosyncratic factors, enhancing overall performance.

To test this hypothesis, they compare the performance of a generic trend-following strategy across three different investment universes:

• Diversified CTA Universe: 103 liquid futures markets.
• Traditional CTA Universe: 50 ultra-liquid futures contracts.
• Concentrated CTA Universe: 13 most liquid and representative global futures markets.

Normalized gross quarterly returns of a generic trend-following strategy as a function of the effective number of independent risk factors explaining its quarterly performance. The generic trend-following strategy is applied to 3 different investment universes. The Diversified CTA universe is composed of 103 liquid futures instruments. The Traditional CTA universe is composed of a subset of 50 ultra-liquid futures instruments. The Concentrated CTA universe is composed of the 13 most liquid and representative global markets. Normalized gross returns correspond to quarterly gross strategy returns normalized to unit average squared deviation from zero over the full period 2000 – 2023 across all three investment universes. The effective number of independent risk factors is computed as the exponential of the Shannon entropy of the absolute contributions of statistical principal component-based portfolios to the total gross returns of the strategy for each quarter. HYPOTHETICAL RETURNS. PLEASE SEE IMPORTANT DISCLAIMERS ON PAGE 2. Source: Quantica Capital. Data as per end of December 2023.

The results demonstrate that diversification plays a significant role, especially in environments with many independent risk factors. While the inverse relationship between performance and the number of risk factors holds across all universes, the negative impact of each additional risk factor is less pronounced for the diversified universe compared to the concentrated one. This suggests that broadening the investment universe increases the likelihood of capturing a wider range of trends, thereby mitigating the challenges posed by diverse risk factors.

These insights have profound implications for investors employing return stacking strategies, which involve combining multiple, often uncorrelated, investment strategies within a single portfolio to enhance returns and potentially reduce risk. Each strategy acts as a distinct "stack," contributing unique return streams to the overall portfolio.

In environments dominated by a few systemic risk factors, a return stacking approach might emphasize strategies that effectively capture these broad trends, potentially focusing on trend-following strategies with concentrated investment universes. Conversely, in periods characterized by numerous idiosyncratic risk factors, incorporating a wider range of strategies across a more diversified investment universe becomes crucial. This aligns with the principles of diversification in return stacking, which is explored in depth in Diversification 2.0: Understanding Return Stacking and the Evolution of Portfolio Construction.

Moreover, leveraging strategies like portable alpha can enhance capital efficiency within a return stacked portfolio. By overlaying alpha-generating strategies on top of a core portfolio, investors can seek additional returns without increasing the overall risk significantly. This concept is detailed in Portable Alpha: Leveraging Uncorrelated Returns.

Understanding the dynamics of risk factors is also essential when incorporating managed futures and trend-following strategies into a return stacked portfolio. These strategies can provide diversification benefits and potential returns during different market regimes, as discussed in Managed Futures and Trend Following.

Quantica Capital's research underscores the critical role of understanding the underlying risk factor structure in trend-following performance. The inverse relationship between the number of independent risk factors and strategy performance highlights the need for a dynamic and adaptable approach to portfolio construction.

For investors, especially those employing return stacking strategies, this means recognizing when to emphasize diversification and when a concentrated approach might suffice. In market environments dominated by a few systemic factors, concentrated trend-following strategies can be highly effective. However, as markets become driven by numerous idiosyncratic factors, broadening the investment universe and diversifying across multiple strategies becomes essential.

Incorporating these insights can enhance the resilience and robustness of investment portfolios. By dynamically adjusting allocations based on the prevailing market environment and leveraging strategies like portable alpha and managed futures, investors can better navigate the complexities of the financial landscape.

As markets continue to evolve, a nuanced understanding of risk factors, coupled with a flexible approach to diversification, will be key to achieving long-term investment success.