This Stock
Overview
"This stock" is an idiomatic demonstrative expression used in Korean stock market content to attract viewers' and readers' attention without directly naming a specific company. It mainly appears in titles and thumbnails such as "Should I buy this stock now?", "This stock exploded today", and "This stock nobody paid attention to", and functions as a media strategy that intentionally obscures the specificity of information to induce clicks and views and as a linguistic device that stimulates investor psychology. At the same time, this expression is a case that compactly shows the structural problem in which individual investors must identify stocks amid information asymmetry.
Main Content
Origin and Meaning
The roots of this expression extend from the brokerage branch trading-room culture of the 1990s, to internet stock message boards in the early 2000s, and to YouTube/Telegram-based stock content after the 2010s. In trading rooms, pointing with a finger using expressions like "that stock" or "this one" was common; online, legal and ethical burdens that could arise from naming a stock combined with competition for views, allowing anonymous demonstrative expressions to take hold. As a result, "this stock" becomes a marker that obscures who owns the information and what the basis is.
Usage Patterns by Medium
- YouTube/short-form: In videos around 15 seconds, "delayed information disclosure," such as revealing the stock name later or in paid membership, is common.
- News/broadcast: While citing analyst reports, the stock name is omitted from the title to increase click-through rates.
- Communities/messengers: Instead of the stock name, methods that hint through part of the stock code, industry, market capitalization size, etc. are used.
- Search ecosystem: "This stock" itself is consumed as a search keyword, creating a structure in which algorithms chain-recommend similar content.
Investor Psychology and Behavioral Economics
This expression simultaneously stimulates a sense of deficiency and the psychology of avoiding opportunity cost. A target presented without concrete grounds makes recipients fill in the information themselves, and in this process confirmation bias and the social proof effect operate. In addition, the time pressure of "you must not miss it now" stimulates the brain's reward circuit and easily leads to impulsive trading. In fact, the phenomenon in which short-term trading volume surges after a specific stock is indirectly mentioned in content has been observed several times.
Risks: Reading Rooms, Manipulated Stocks, and Unfair Trading
The point at which "this stock" becomes dangerous is when information provision turns into trading inducement. The so-called "front-running" in which similar investment advisory companies or Telegram reading rooms first accumulate a specific stock, then recommend many people to buy, and sell at the high point may constitute unfair trading under the Capital Markets Act. Reading rooms themselves are subject to reporting as similar investment advisory businesses, but unregistered/unreported operations and promises of guaranteed returns have clear grounds for illegality. Investors must check the basis materials for stock recommendations, disclosure of conflicts of interest, and the verifiability of past hit rates.
Identification Checklist
1. Is the basis for buying confirmed by primary materials such as earnings and disclosures?
2. Has the recommender disclosed whether they already hold the stock?
3. Does it include guarantees of profit, guarantees of principal, or promises of sharp rises?
4. Is the stock name disclosed only after paid payment?
5. Do the timing of the trading volume surge and the timing of content posting overlap?
Latest Trends
Entering 2024–2025, the domestic stock content ecosystem is undergoing changes on both regulatory and technological sides. Financial authorities and the Korea Exchange have strengthened monitoring of unfair trading based on Telegram and open chats, and have pursued institutional improvements to expand the obligation to indicate conflicts of interest in investment information content on major platforms. In addition, as generative AI mass-produces summarized stock recommendation content, "this stock"-type content with unclear sources is spreading faster than before. Conversely, as AI-based abnormal transaction detection and automated verification tools for disclosure data become widespread, investor behavior to filter out groundless recommendations is also increasing. In 2025, a trend is also observed in which the self-discipline principle among individual investors—"ignore stock mentions without evidence"—is becoming established as a community norm.
Related Topics
- [[유사투자자문업]] (Similar Investment Advisory Business)
- [[주가조작]] (Stock Manipulation)
- [[행동경제학]] (Behavioral Economics)
- [[개인투자자]] (Individual Investors)
- [[클릭베이트]] (Clickbait)