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| Quarter | Letter Date | Fund Name | QTD | YTD | Tickers | Themes | Quick Take |
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"Elevated dispersion across global credit favors hard assets with resilient cash flows and well-capitalized AI infrastructure issuers over speculative growth borrowers."
Active fixed income markets are navigating a complex macro regime defined by resilient global growth surprises, a rapid Federal Reserve policy pivot from easing to tightening, and rising government bond yields. With the US 10-year Treasury yield climbing almost 100 basis points since late Q2 2026, fixed income volatility has elevated. Rather than adopting blanket duration or credit risk, the strategy emphasizes granular security selection across multi-year high credit dispersion, focusing on balance sheet capacity and cash flow predictability. The investment team identifies two structural narrative pillars shaping credit: the transition of artificial intelligence financing into public and securitized debt markets, and the resurgence of Hard Assets, Low Obsolescence (HALO) businesses in global high yield. As AI capital expenditure expands into utilities, hyperscaler debt, and data-center project financing, political backlash around energy, water, and local permitting threatens to differentiate speculative developments from contracted infrastructure. Concurrently, tight headline credit spreads conceal historic dispersion where physical assets in energy, transportation, and industrial supply chains outperform digital software incumbents. In emerging market debt, the strategy adopts a patient, wait-and-see tactical posture regarding a potent El Niño weather episode. Analysis indicates localized transmission through agricultural consumer price baskets and hydroelectric generation, creating pronounced sovereign dispersion across Latin America and Asia. Across all sleeves, portfolio allocation favors high-quality balance sheets with contracted revenues and defensive duration, maintaining strict caution toward debt issuers facing recurring refinancing or unpredictable capital needs.
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