BREAKING LIVE All breaking →
News

Sterling rises for the fourth consecutive session

by UCapital MediaUCapital News newsroom1 min read
Sterling rises for the fourth consecutive session

The British pound climbed to $1.347 on Wednesday, extending its winning streak to four days, its longest since August.


Gains largely reflect dollar weakness as a US government shutdown, the third under Trump, weighs on sentiment.


At home, BoE officials struck differing tones: Catherine Mann warned that sticky inflation is materialising, with firms embedding higher labour costs into prices, while Deputy Governor Sarah Breeden cautioned against leaving rates high for too long.


The Bank of England kept interest rates unchanged in September, with markets currently pricing in the next rate cut only in 2026.


On the political front, Chancellor Rachel Reeves is reportedly set to scrap the two-child benefit cap in November’s budget, a move expected to cost £3.5bn annually but cut child poverty significantly.


Attention also turns to possible tax rises, with gambling duties speculated. Meanwhile, new data showed UK house prices rose 0.5% in September and 2.2% annually, beating forecasts.

poundgbp
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.