{"id":55579,"date":"2026-04-15T11:12:35","date_gmt":"2026-04-15T16:12:35","guid":{"rendered":"https:\/\/www.inovestor.com\/?p=55579"},"modified":"2026-04-18T12:09:03","modified_gmt":"2026-04-18T17:09:03","slug":"performance-commentary-u-s-factor-models-1q2026","status":"publish","type":"post","link":"https:\/\/www.inovestor.com\/en-ca\/2026\/04\/performance-commentary-u-s-factor-models-1q2026\/","title":{"rendered":"Performance Commentary \u2014 U.S. Factor Models (1Qtr-2026)"},"content":{"rendered":"

Performance Commentary \u2014 U.S. Factor Models<\/strong><\/p>\n

Introduction<\/strong><\/p>\n

The first quarter of 2026 was more challenging for U.S. equities. The S&P 500 declined by approximately 4.33% over the period. Against this backdrop, the median return of U.S. factor models stood at 1.60%, reflecting relative outperformance. Behind this average, however, lies a significant dispersion between a small group of strongly outperforming models and several strategies that lagged meaningfully.<\/p>\n

 <\/p>\n

 <\/p>\n

\"\"<\/p>\n

 <\/p>\n

Top-Performing Models<\/strong><\/p>\n

The best-performing models clearly benefited from exposure to segments driven by recovery dynamics and strong market momentum.<\/p>\n

The US Momentum Breakout model led with a return of 14.89%. Its portfolio was positioned in information technology, materials, and energy, with holdings such as Fastly, Teradyne, Newmont, and Golar LNG making strong contributions.<\/p>\n

The US Earnings Momentum model followed with 13.49%, supported by a concentration in technology and industrials, including Lumentum, Fastly, Comfort Systems, and Seagate, companies that benefited from improving growth expectations.<\/p>\n

The US Dividend Growth model delivered 9.83%, driven by meaningful exposure to energy and financials, including Targa Resources, Shell, and HF Sinclair, which performed well in a more uncertain environment.<\/p>\n

The US Dangerous model gained 7.55%, reflecting a more opportunistic structure with exposure to communication services, consumer discretionary, and real estate, including EchoStar.<\/p>\n

Finally, the US D10 ValuationMomentum Breakout model returned 6.94%, combining positions across materials, technology, and financials, with notable holdings such as Newmont, Teradyne, Kennametal, and Albemarle.<\/p>\n

Models Lagging the Market<\/strong><\/p>\n

In contrast, several models were weighed down by a more defensive positioning or by exposure to stable growth segments that were less rewarded during the quarter.<\/p>\n

The US Quality Growth Opportunities model declined by 10.73%, with significant exposure to companies such as Mastercard, Eli Lilly, Booking, and O\u2019Reilly Automotive, which did not contribute meaningfully during the period.<\/p>\n

The US ESG Quality Growth Opportunities model posted a similar decline of 10.62%, with a comparable structure including Mastercard, Nu Holdings, GoDaddy, and Hilton.<\/p>\n

The US Earnings Growth model fell by 7.73%, reflecting a more diversified portfolio that was less aligned with the strongest segments of the market, despite some isolated positive contributions.<\/p>\n

The US ESG Dividend Growers model declined by 4.10%, with exposure to financials, industrials, and healthcare, including Stifel Financial, Mueller Industries, Eli Lilly, and Goldman Sachs.<\/p>\n

Finally, the US Large Cap D10 Income Asset Growth model ended the quarter at -3.54%, with a more balanced allocation across technology, healthcare, and consumer staples, including NVIDIA, Kimberly-Clark, Altria, Verizon, and Johnson & Johnson, which did not capture the most favorable market segments.<\/p>\n

Overall Perspective<\/strong><\/p>\n

The quarter highlights a strong divergence across styles. Models exposed to recovery-driven stocks, cyclical segments, and strong momentum significantly outperformed. In contrast, more defensive approaches and stable growth profiles were less well positioned in this environment.<\/p>\n

Conclusion<\/strong><\/p>\n

At the start of 2026, performance was driven by targeted exposure to specific segments of the market. Models that embraced a more dynamic positioning generated significantly higher returns, while more conservative strategies delivered greater stability at the cost of performance. This complementarity between styles remains essential for navigating market cycles with discipline and consistency.<\/p>\n

Performance \u2013 Factor Contribution\u00a0<\/strong><\/p>\n

\"Factor<\/p>\n","protected":false},"excerpt":{"rendered":"

Performance Commentary \u2014 U.S. Factor Models Introduction The first quarter of 2026 was more challenging for U.S. equities. The S&P 500 declined by approximately 4.33% over the period. Against this backdrop, the median return of U.S. factor models stood at 1.60%, reflecting relative outperformance. Behind this average, however, lies a significant dispersion between a small […]<\/p>\n","protected":false},"author":36,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[55,470,1],"tags":[],"class_list":["post-55579","post","type-post","status-publish","format-standard","hentry","category-modelportfolio","category-modelportfolio-en-ca","category-uncategorized"],"acf":[],"yoast_head":"\nPerformance Commentary \u2014 U.S. Factor Models (1Qtr-2026) - Inovestor<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.inovestor.com\/en-ca\/2026\/04\/performance-commentary-u-s-factor-models-1q2026\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Performance Commentary \u2014 U.S. Factor Models (1Qtr-2026)\" \/>\n<meta property=\"og:description\" content=\"Performance Commentary \u2014 U.S. Factor Models Introduction The first quarter of 2026 was more challenging for U.S. equities. 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