Katerina Simonetti 3.3 13 ideas

Simonetti states that "this is where fixed income comes in, especially high quality intermediate fixed income," which will "generate this income producing feature" for portfolios. Higher interest rates have created access to attractive yields in high-quality bonds, providing a durable source of income and portfolio ballast. LONG because she advocates adding high-quality intermediate fixed income to capture yield and build portfolio income. If inflation proves persistent and central banks hike rates further, bond prices could face additional pressure.

Simonetti explicitly recommends increasing positioning in "financials" as part of a strategy to buy high-quality large-cap stocks during market corrections. She argues financials possess pricing power, allowing them to perform well even in an environment of high input prices and potentially softening demand. LONG because she identifies financials as a sector offering attractive buying opportunities with resilience. A deeper-than-expected economic slowdown leads to credit deterioration and reduces profitability for financial companies.

"Are we expecting that... we are going to have not one, but maybe several market corrections this year? Absolutely. But our positive towards the year end is still extremely positive." Volatility is expected and should be treated as a buying opportunity rather than a signal to exit. The macro trend remains upward despite short-term inflation data (hot PPI) or valuation concerns. Buy the dip on broad indices. Inflation re-accelerating significantly, forcing the Fed to hike rates further.

"We see the biggest adoption, the biggest disruption happening outside of tech, specifically in healthcare, in financials, in industrials and in materials." The market has crowded into AI hardware and infrastructure (First-Order). The Second-Order trade is identifying the *beneficiaries* of this technology. These "Old Economy" sectors will use AI to compress costs and expand margins, leading to earnings beats that are not yet priced in compared to the premium on Tech. Long AI Adopters (Healthcare, Financials, Industrials, Materials). Implementation lag; if AI integration costs outweigh immediate productivity gains.

"Valuations are extremely attractive on the international side... [we are] overweight emerging." While the US market is expensive, Emerging Markets offer a valuation discount. Simonetti distinguishes between "International" (Europe) and "Emerging." She avoids Europe due to the Ukraine conflict ("major conflict happening... might take some time"), making EM the preferred vehicle for non-US exposure. Overweight Emerging Markets. US Dollar strength; geopolitical instability in specific EM regions.

"If there are giant companies with proprietary technology, strong customer relationships, competitive advantage, they are going to be able to adapt and... use AI for their model expansion." The market fears AI will replace software services (SaaS). Simonetti argues the opposite for "Giant" incumbents. These companies (System of Record) own the data and the customer workflow. They will not be displaced; they will upsell AI features. This suggests buying the dip on high-quality, large-cap software. Long Large-Cap Quality Software (Tickers inferred as standard "System of Record" giants). Disruption from agile, AI-native startups undercutting pricing.