BREAKING LIVE All breaking →
News

Offshore yuan steadies as PBOC holds rates

by UCapital MediaUCapital News newsroom1 min read
Offshore yuan steadies as PBOC holds rates

The offshore yuan steadied around 7.12 per dollar on Monday, halting two consecutive sessions of losses as investors assessed the PBOC’s key lending rate decision.


The central bank held its benchmark loan prime rates unchanged for the fourth straight month at record lows, in line with market expectations, even after the US Federal Reserve cut rates by 25 bps last week.


The one-year LPR, which guides most corporate and household loans, remained at 3.0%, while the five-year LPR, a key reference for mortgages, stayed at 3.5%. Both were last cut by 10 bps in May.


The hold reflects caution despite weaker activity, with August industrial output growing at the slowest pace in over a year, retail sales posting a nine-month low, and exports rising at the weakest rate since February.


Credit demand also lagged as property sector stress and curbs on overcapacity weighed.


Still, markets expect modest policy easing later this year as authorities look to keep growth near the government’s 5% target.

yuan
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.