KOSPI tumbled 3.6%

Strota Newsroom · Global Markets · session of 2026-08-31 · market close

KOSPI closed at 6,662.16 on 2026-08-31, tumbled 3.6% on the session and is +58.1% year-to-date. Here is what the market data shows.

South Korea's KOSPI closed at 6,662.16 on 31 August, down 3.62% on the session, a sharp pullback from the record-chasing run it had been on. The index sits 26.91% below its 52-week high of 9,114.55 yet still 111.97% above its 52-week low of 3,142.93, holding above its 200-day average of 5,995.58 but having slipped under its 50-day average of 7,156.89.

The longer trend is still striking. The KOSPI is up 17.64% over the past month and 58.09% year to date, but it fell 3.63% on the week and 18.61% over the past three months — a reminder that the climb has been volatile.

The selloff was not isolated. Among the latest sessions, Japan's Nikkei was down 1.2% and Australia's ASX 200 up 0.69% at their 31 August closes, while the earlier 27 August closes showed the S&P 500 up 0.72%, the Dow up 0.20% and Europe mixed with Germany's DAX up 0.31% and France's CAC 40 down 1.68%.

The news tied the move to a risk-off turn in Korean equities. A report from TradingKey said the KOSPI slumped 3% as Kioxia, Samsung and SK Hynix plunged, while KED Global noted the index failed to hold above 7,000 as US and Japanese Treasury yields and Iran tensions weighed on sentiment. Chosunbiz attributed the weakness to US tightening fears driving funds to rotate out of South Korea, and Business Insider reported Goldman arguing the AI-stock selloff had gone too far and doubling down on its bull case.

What the data establishes is a sharp single-session fall that has knocked the KOSPI off its 50-day line but left it deeply higher on the year. What it does not establish is whether the pullback marks a trend change or a pause — the headlines show a market caught between a powerful year-to-date run and fresh fears about yields and fund flows.

The numbers

Around the world (same session)

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How this article was made: Strota assembled the market data above (the index's price history, same-session peer-market moves and public headlines) and an AI model wrote the narrative strictly from that evidence — it is not permitted to add outside facts or numbers. Every figure comes from the underlying market/public data.