BREAKING LIVE All breaking →
News

Offshore yuan nears 7-per-dollar threshold

by UCapital MediaUCapital News newsroom1 min read
Offshore yuan nears 7-per-dollar threshold

The offshore yuan rose to around 6.98 per dollar on Thursday, rebounding from the previous session.


The currency is moving closer to the psychologically important 7-per-dollar level, largely driven by exporters stepping up conversions of dollar holdings into the local currency.


Toward the end of the year, exporters typically increase foreign-exchange conversions to meet a range of domestic obligations, including administrative expenses and employee-related disbursements.


Additional support came from upbeat sentiment in the stock market, after the benchmark Shanghai Composite Index climbed to a fresh decade high, reinforcing confidence in Chinese assets more broadly.


However, the yuan’s appreciation was partly capped by a weaker-than-expected daily midpoint fixing set at 7.0197 per dollar, signaling a more cautious stance from the People’s Bank of China.


Looking ahead, investors remained focused on upcoming inflation data, which could provide additional clues on the outlook for monetary policy.

yuancny
DISCLOSURE

UCapital Asset Management LLP or group companies may have commercial relationships with the companies mentioned. This content is not financial advice.

✦ Ask the AI about this article

Sign up for free to ask the AI about this article.

Analyse the markets with UCapital’s AI agents

Multiples, financials, sentiment and risks in 60 seconds, with live data.

Open Markets →

AI use policy. UCapital AI supports the newsroom with news analysis, summaries, market reactions, translations and the generation of cards and charts. AI-generated or AI-assisted content is labelled in the byline (AI Desk, a named AI profile marked «AI», or joint byline) and is reviewed by editors before publication. News received via API feeds from third-party providers is attributed to the original source. AI can make mistakes: report any inaccuracies to the newsroom. Users’ personal data is not used to train the models.