His Articles

Macro Linkages

A Quarterly Tracking Framework for Semi Buyback Scale and FCF Yield

Semiconductor stocks sit at the intersection of two moving targets: who is buying them, and what their cash flows are worth in a changing macro environment. In one quarter, large institutions dominate flows and free cash flow (FCF) yields look attractive versus bond yields. In another, retail flows surge, multiples expand, and FCF yields compress as rates rise. If you want to understand where you are in the cycle—not just price, but positioning and valuation—you need a framework that connects buyer scale and FCF yield to the macro levers of interest rates, exchange rates, credit, and commodities.

ETFs

Lead-Lag Relationship Between Global Semi ETF Flows and Korea Semi Export Data

The relationship between global semiconductor ETF flows and Korea’s semiconductor export data is a useful way to understand how market sentiment and real-world trade fundamentals interact. One side of the story is financial: money moving into and out of semiconductor ETFs around the world. The other side is industrial: the actual shipment of chips and chip-related products from one of the world’s most important semiconductor exporters. Put those together, and you get a compelling question. Do ETF flows lead Korea’s export data, or do exports lead ETF flows? The answer is not always the same, and that is what makes the relationship worth studying.

ETFs

The "AI Content" Showdown Among Semi ETFs – Which Has the True AI Purity?

Not every semiconductor ETF is equally “AI.” That may sound obvious, but once you start comparing funds, the answer becomes messy very quickly. Some ETFs are packed with GPU leaders and AI infrastructure names. Others hold a broader semiconductor mix that benefits from AI indirectly. A few stretch the definition even further, mixing chips, software, networking, and other technology layers into a wider thematic product. So when investors ask which semiconductor ETF has the true AI purity, they are really asking a harder question: how directly does the fund express the AI hardware buildout, and how much dilution is hidden in the basket?