GBP/USD hovers around 1.2530 after paring gains, focus on US ISM Manufacturing PMI

GBP/USD trims intraday gains, remaining higher around 1.2530 during the Asian hours on Monday. US Dollar (USD) recovers its daily losses on risk aversion ahead of ISM Manufacturing Purchasing Managers Index (PMI) data from the United States (US) scheduled to be released later in the North American session, capping the advance of the GBP/USD pair.

However, the US Dollar Index (DXY) encountered difficulties following dovish comments from Federal Reserve (Fed) Chairman Jerome Powell on Friday. Powell remarked that recent US inflation data was in line with expectations, supporting the Fed's position on potential interest rate cuts throughout 2024. Fed officials maintain projections of three rate cuts this year. Market participants anticipate the first of these cuts to materialize at the June meeting.

In February, US Core Personal Consumption Expenditures (PCE) increased by 0.3% month-over-month (MoM), aligning with market expectations and slightly lower than January's 0.5%. The annual index rose by 2.8%, meeting expectations and slightly lower than the previous increase of 2.9%. US Headline PCE (MoM) saw a 0.3% increase, slightly below expectations and lower than the previous month's 0.4% rise. Year-over-year PCE increased by 2.5%, meeting expectations.

On the other side, the anticipation of the Bank of England (BoE) initiating three quarter-point rate reductions in 2024 is putting pressure on the Pound Sterling (GBP). This pressure is further compounded by recent weaker economic data, indicating that the UK economy slipped into recession in the latter half of 2023. BoE Governor Andrew Bailey's statement suggesting that interest rate cuts will be considered in future policy meetings has added to this pressure.

With limited high-impact data forthcoming from the United Kingdom (UK), traders are likely to gauge the UK economic landscape by closely monitoring indicators such as Nationwide Housing Prices, S&P Global PMI, and Halifax House Prices data set to be released during the week.