Power equipment-related stocks showed clear mixed movements during the trading session on the 16th, varying by individual stock. Among them, Hyosung Heavy Industries drew market attention by rising more than 4%.

As of the afternoon of the same day, Hyosung Heavy Industries traded at 3,905,000 won, up 153,000 won (4.08%) from the previous trading day. During the session, it surged to as high as 3,990,000 won, indicating strong buying interest. As expectations continue for expanded global power grid investment and growing demand for extra-high-voltage transformers, the stock is drawing attention as a leading power equipment stock.

LNFE also closed trading at 143,300 won, up 1,600 won (1.13%). It showed a solid trend, rising to as high as 145,100 won during the session. Although it is a secondary battery materials company, it is attracting investor interest as expectations for benefits from power infrastructure expansion and energy transition investments converge.

Meanwhile, HD Hyundai Electric, a representative power equipment stock, traded at 1,129,000 won, down 65,000 won (5.44%). It appears to be undergoing a correction as profit-taking sell-offs emerged following its recent sharp gains.

The market analyzes that the growth potential of the power equipment sector is being highlighted amid the expansion of artificial intelligence (AI) data centers and increasing industrial power demand. In particular, as investments in building transmission and distribution networks and replacing aging power grids expand, centered around North America, the Middle East, and Europe, expectations for orders by domestic power equipment companies are also rising.

The securities industry believes that companies in the extra-high-voltage transformer, power equipment, and transmission and distribution equipment sectors are highly likely to benefit from the expansion of global power infrastructure investment. Accordingly, the order performance and overseas market expansion of power equipment-related stocks, including Hyosung Heavy Industries, are cited as key variables for future stock price movements.

[※ This article was written with the assistance of an artificial intelligence (AI) analysis tool, and the final content was provided after an editorial process. The content included in this article is for informational purposes only and does not constitute a recommendation to buy or sell any specific stock or financial product. Investment decisions and the resulting responsibilities rest entirely with the investor. Actual results may vary depending on market conditions.]