Korean retail investors bought about $80 million of Nvidia shares from 6 to 12 November, the week the chief executive left, the fifth-largest net purchase among U.S.-listed stocks, MBC reported, citing Korea Securities Depository data.
Over the same week the most-bought U.S. listing among Korean retail investors was a product tracking three times the U.S. semiconductor index, at about $580 million, MBC reported. By our arithmetic, that is about 7x the money that went into Nvidia shares directly.
Business Pill · Concentration Explained
An evergreen Business Engineer explainer on how a few big pieces can make up most of a total. It teaches the general idea only and does not discuss this story.
The key insight: As we read the depository data, Korean money in the exit week leaned toward leverage on the whole chip sector rather than the single stock: about $580 million went into a triple-leveraged semiconductor product against about $80 million into Nvidia shares, MBC reported.
Korea Securities Depository settlement data show net purchases of $31.62 million of Nvidia on 6 November, the fourth-largest among U.S. stocks that day, and $39.87 million on 9 November, when Nvidia ranked third, Chosun Biz reported. Over 9 to 11 November, net purchases totalled $64.89 million, the largest among individual stocks excluding ETFs, the Hankyung report carried by Bloomingbit said.
Korean investors’ Nvidia holdings were valued at $14,094.89 million at the 11 November close, “second among overseas stocks by custody value after Tesla”, Chosun Biz reported. Dividing that value by the share price puts the holding at about 81.13 million shares, about 380,000 more than about 80.75 million on 6 November, it said. By our arithmetic, that is about 0.5% more shares.
Net purchases of U.S.-listed products by Korean investors, 6-12 November 2026; Korea Securities Depository data as reported by MBC.
Where Else the Money Went
A product tracking three times the Nasdaq 100 index drew $250 million, the second-most-bought listing of the week, MBC reported. On the Korean market, individual investors put about 312.7 billion won into the 13 ETFs with the largest Nvidia weightings over 6 to 12 November, Chosun Biz reported, and the TIGER U.S. S&P 500 fund alone drew 91.7 billion won.
Chosun Biz also reported that “net buying of the four major index ETFs fell about 15% from the previous five sessions”. In the United States, six leveraged ETFs tracking twice Nvidia’s daily move drew $42.5 million over 9 to 11 November, with no net inflow into inverse ETFs, the Hankyung report said, citing Vanda Research.
The Price Backdrop
Nvidia closed at $162.85 on 13 November, 12.75% below the 6 November close of $186.64, the Hankyung report said. Our earlier coverage puts the decline from the October record at about $1.84 trillion of market value; Korea’s government separately said its 260,000-GPU plan with Nvidia stands.
U.S. individual investors bought a net $111 million of Nvidia in the first 30 minutes of trading on 12 November, the largest first-half-hour figure on record for the stock, the Hankyung report said. Nvidia reports quarterly results on 17 November against its own $108 billion revenue guide.
The Structural Read
As we read the holdings figures, Korean investors largely held through the drop: the estimated share count rose about 380,000 to about 81.13 million while the stock fell, Chosun Biz reported.
As we read the U.S. figures in the Hankyung report, retail buying on both sides of the Pacific rose in the same week, with a record $111 million in the first 30 minutes on 12 November.
Chosun Biz, 13 November 2026
“Even as the stock tumbled 4.27% on the 9th and 5.47% on the 10th, Korean investors’ Nvidia holdings barely changed”
Three Implications
FOR NVIDIA’S SHAREHOLDER BASE Korean investors held about $14.09 billion of the stock at the 11 November close, second only to Tesla among overseas holdings, Chosun Biz reported.
FOR LEVERAGED PRODUCTS About $580 million went into a product tracking three times the U.S. semiconductor index over 6 to 12 November, MBC reported.
FOR KOREAN INDEX FUNDS Net buying of the four major index ETFs fell about 15% from the previous five sessions, Chosun Biz reported.
The framework says: “The economy is only one layer of the story.”
As we read it, cross-border retail flows into one chipmaker are one place where the economic layer shows up; the framework does not discuss this story.
What Is Not Established
The holding share count is an estimate that divides custody value by the share price, Chosun Biz says. The depository figures cover domestic investors holding U.S. shares through Korean brokers, which Chosun Biz and MBC describe as retail investors; they are totals, not individual accounts. MBC does not name the leveraged products by ticker.
This Week In The AI Supercycle
AI Lost Its Central Banker, the Lab Oligopoly, and the Future of Open Source
This week’s issue: the Nvidia leadership change, read as the AI build-out losing its central banker: who now finances the GPU landlords, backstops the data centres and sponsors open models, and why two labs are becoming the bank.
Korean investors bought about $80 million of Nvidia in the week of the chief executive’s exit and held about $14.09 billion of the stock, second only to Tesla, depository data reported by MBC and Chosun Biz show; about $580 million went into a triple-leveraged chip product, MBC reported.
A note on sourcing. Figures come from Korea Securities Depository and Korea Exchange data as reported by Chosun Biz (13 November 2026), the Hankyung report carried by Bloomingbit (14 November) and MBC News (14 November), read in full on 15 November 2026; the Korean-language reports were translated by us. Ratios are our arithmetic.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
