“Single name volatility and dispersion are rising, which is positive for active management. The benchmark we use has around 17,000 bonds, so there’s constant news flow and single name opportunities. By contrast, the Robeco Global Credit strategy is concentrated – around 300 bonds. Where we have conviction, we size positions accordingly.”
“Within bonds we can also move across the curve and take advantage of event risk or covenant structures. So there’s issue selection alongside issuer selection. We’re also running good liquidity, with around 5% cash and 10% in covered bonds. That gives us flexibility to deploy capital quickly if dislocations occur.”
“Finally, as active managers we can use macro overlays and hedges. In rich markets with low volatility, we can underweight or use derivatives such as credit options to provide cheap tail risk hedges and minimize drawdowns. That toolkit is important.”
MJ: “Credit markets remain structurally less efficient than equities. The breadth and complexity of the market create persistent inefficiencies. By dedicating significant time to bottom-up research, we aim to identify mispricings at both issuer and bond level. As single name dispersion increases, the opportunity set increases.”
What does the discussion look like in the team right now about AI?
MJ: “AI is dominating the conversation. The uncertainty isn’t theoretical, it’s already driving divergence across sectors and individual issuers. We don’t know how this will play out. Some companies are still delivering solid earnings, but markets are deciding AI will hurt them in three to five years and stocks are being punished.”
“We’ve enhanced scrutiny across every name we hold, with analysts scoring every issuer on AI threat level, so we’re assessing both the risks and opportunities from AI. We don’t have exposure to names directly in the firing line, which is good. But avoiding losers doesn’t always generate much outperformance if they’re small index weights. As markets punish certain names, we’re taking a hard look at them. In some cases, AI-exposed names that have come under pressure are starting to look more interesting.”
Other sectors and themes of interest?
MB: “One interesting development is how the AI narrative has moved into private credit, particularly business development companies (BDCs) – the listed vehicles that provide financing to mid-sized companies. In the US a significant proportion of lending has been into software, and BDC bond spreads have widened meaningfully. That reflects software exposure and also concerns raised in Q4 around credit quality and some weak results. We’re still underweight and don’t own any, but we’re researching the space more closely for potential opportunities.”
“Banks remain an attractive sector, Q4 results were solid and supply is expected to be modest. We favor senior preferred and senior non-preferred over Tier 2 and AT1, which look rich. Utilities are also interesting. AI build-out requires large electricity generation and we’ve seen more issuance, including hybrids, from utilities. It’s a stable, low business risk sector, and we’re selectively adding exposure.”