capital-markets
Share of IPO Prospectuses Mentioning China (quarterly)
Latest
68% of documents
Methodology
## What this measures
A Palanor calculation: the share of the Risk Factors and Business sections of IPO registration statements (first S-1 or F-1) that mention china at least once, by quarter. Patterns: `(?:China|Chinese)`, `PRC` (case-sensitive), `People['’]s Republic of China`.
## Why it matters
China as a market, supplier or home: it rises with Chinese and Hong Kong issuers and with supply chains or customers there, and with the risk language around U.S.–China relations.
## How it is made
The share of prospectuses that mention the topic at least once. Same documents, sections and patterns as the rate series. Each company's first registration statement on Form S-1 (U.S. issuers) or F-1 (foreign private issuers) from 2010, from Palanor's IPO pipeline (ipo.us.registrations.monthly; blank-check companies left out). Palanor fetches the prospectus from EDGAR and finds its "Risk Factors" and "Business" sections by their headings, from the heading to the next major prospectus section; a heading counts only before the financial statements, whose notes carry headings of their own. 7,315 prospectuses were counted; 128 in which neither section could be found are left out. A document's rate is mentions per 10,000 words of those two sections together; a quarter's reading is the mean of its documents' rates, so each company weighs the same, dated by the quarter the registration was filed. The rule that skips the financial statements was added after a hand check of five prospectuses found two whose Business section had been taken from the notes to the statements; every filing was then recounted (counter version 2). Documents under 300 words of section text are left out, and a quarter is published only with at least 30 documents. The topic word lists were fixed and committed on their own (src/lib/filings-text/topics.ts, 2026-10-20) before any counting code existed or any rate was computed; they are counted by regular expressions with no language model.
## How to read it
The series starts in 2010 Q1 at 29.1%. The latest reading, for 2026 Q3, is 68.0%. The high is 76.4% (2023 Q3) and the low 17.5% (2012 Q3). Quarters carry 56 to 219 documents.
## What it does not say
A mention is not exposure: companies list risks defensively, and a word can appear in a risk the company says it does not face. The rate moves with the mix of companies filing (a wave of Chinese or Hong Kong issuers lifts the China rate; a wave of biotech filings lowers the AI rate), not only with what a typical company writes. The quarter is when the registration was first filed publicly, which can trail a confidential draft by months, and many filings never become IPOs; small self-underwritten S-1s count the same as large IPOs. Words inside names count too: a company whose name contains "AI" adds an AI mention each time it names itself. A single passing mention counts the same as a long discussion.
## Source
Palanor calculation from SEC EDGAR filings (U.S. Securities and Exchange Commission; public domain). Palanor reads the filings to count words by fixed rules and never stores or republishes their text.
Read this signal inside the lattice.
Palanor weighs every signal against the world your organization is watching. Methodology is public; integration is the platform.
See it in Palanor →