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Government borrowing for October higher than expected

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Government borrowing for October higher than expected


Rachel ClunBusiness reporter

Getty Images People in suits and casual outfits walk across a bridge on a sunny day.Getty Images

UK government borrowing was higher than expected last month, according to the latest official figures.

Borrowing – the difference between public spending and tax income – was £17.4bn in October, the Office for National Statistics (ONS) said, which was above analysts’ forecasts of about £15bn.

The borrowing figures come less than a week before Chancellor Rachel Reeves unveils her Budget, and she has previously confirmed both tax rises and spending cuts are on the table.

Separate figures from the ONS showed retail sales fell in October, with some retailers saying that shoppers were waiting for this month’s Black Friday deals.

Ruth Gregory, deputy chief UK economist at Capital Economics, said that together the latest government borrowing and retail sales figures painted a “pretty grim picture” of the economy.

Although October’s borrowing figure was above expectations, it was £1.8bn lower than the figure seen in the same month last year.

“While spending on public services and benefits were both up on October last year, this was more than offset by increased receipts from taxes and National Insurance contributions,” said ONS chief economist Grant Fitzner.

Despite the fall, it was still the third-highest October borrowing figure since monthly records began in 1993.

In the financial year to October, borrowing was £116.8bn, which was £9bn more than the same period in 2024. It was the second-highest borrowing for April to October since records began in 1993, after 2020.

A Bar chart titled 'Government borrowing in October', showing the UK's public sector net borrowing, excluding public sector banks, from October 2020 to 2025. In October 2023, public sector net borrowing stood at £16.4 billion. It then rose to £19.3 billion in October 2024, before falling back to £17.4 billion in October 2025. The source is the Office for National Statistics.

James Smith from investment bank ING said the borrowing figures would not be welcomed by the chancellor ahead of her Budget, but said her fiscal rules were about what happens later this decade, rather than the current picture.

“Today’s data is not helpful, it shows that the government is borrowing more than expected, but it doesn’t necessarily change the decisions next week,” he told the BBC’s Today programme.

Nick Ridpath, research economist at the Institute for Fiscal Studies, noted government borrowing for the year to date had continued to exceed forecasts from the OBR, “to the tune of around £10bn”.

Mr Ridpath said that while the borrowing figures should not be given too much weight, ahead of the Budget they highlighted the uncertainty around pressures on spending and tax revenues and the “stubbornly high costs of servicing government debt”.

The chancellor needs to find more money in her 26 November Budget to meet her self-imposed rules for government finances, which she has described as “non-negotiable”.

The two main rules are:

  • Not to borrow to fund day-to-day public spending by the end of this parliament
  • To get government debt falling as a share of national income by the end of this parliament

The BBC understands that newer assessments from the OBR have put the gap in public finances that Reeves needs to fill at £20bn.

Mr Ridpath said: “Operating with minimal fiscal margin for error is risky, and this is one reason why the chancellor might sensibly take steps to increase her so-called ‘fiscal headroom’ at next week’s Budget.”

Chief secretary to the Treasury James Murray said the government aimed to reduce borrowing over the course of the parliament, with £1 of every £10 in taxpayer money currently spent on paying interest on national debt.

“That money should be going to our schools, hospitals, police and armed forces,” he said.

“That is why we are set to deliver the largest primary deficit reduction in both the G7 and G20 over the next five years – to get borrowing costs down.”

Shadow chancellor Sir Mel Stride said borrowing so far this financial year had been the highest on record outside the pandemic.

“If Labour had any backbone, they would control spending to avoid tax rises next week,” he said.

The ONS also released data showing that over the month of October retail sales fell by 1.1% – the first monthly drop since May.

“Supermarkets, clothing stores and online retailers all saw slower sales, with feedback from some retailers that consumers were waiting for November’s Black Friday deals,” Mr Fitzner said.

Ruth Gregory at Capital Economics noted the monthly fall in retail sales “isn’t quite as bad as it looks” as it comes off the back of four consecutive months of increases, but also said that consumer confidence had declined, which “suggests that consumers aren’t exactly chipper at the moment”.



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Top stocks to buy today: Stock recommendations for April 17, 2026 – check list – The Times of India

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Top stocks to buy today: Stock recommendations for April 17, 2026 – check list – The Times of India


Top stocks to buy (AI image)

Stock market recommendations: Reliance Industries, and Varun Beverages are the top stock recommendations by Bajaj Broking Research for April 17, 2026.Reliance IndustriesBuy in the range of ₹ 1330.00-1350.00

Target Return Time Period
₹ 1474 10% 6 Months

Reliance Industries stock has undergone a corrective phase over the past three months and is currently consolidating near a crucial support zone of ₹1270–₹1300. This technical setup offers a favorable risk-reward profile, positioning the stock for a potential bullish reversal and the next leg of uptrend.This ₹1270–₹1300 range serves as a crucial support area, reinforced by the convergence of multiple technical factors: (a) 61.8% retracement of the previous April 2025-January 2026 up move (1115-1611) (b) 200 weeks EMA placed around 1292, which has historically acted as strong demand area for the stockThe ongoing corrective phase appears to be nearing exhaustion, with price action indicating the potential for a fresh bullish reversal. We anticipate the stock to resume its uptrend and head towards ₹ 1474 levels in the coming quarters being the high of February 2026 and the 61.8% retracement of the recent decline of the last 3 months ₹ 1611-1290.Varun BeveragesBuy in the range of 455-465

Target Return STOPLOSS Time Period
₹ 503 9% 429 3 Months

The share price of Varun Beverages has generated a breakout above the falling channel containing last 3 months decline signaling strength and offers fresh entry opportunity.The stock has also formed a higher high and higher low signaling resumption of up move after recent corrective decline.We expect the stock to head higher towards 503 levels in the coming weeks being the 80% retracement of the previous decline from 534 to 381.(Disclaimer: Recommendations and views on the stock market, other asset classes or personal finance management tips given by experts are their own. These opinions do not represent the views of The Times of India)



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Finance ministers and top bankers raise serious concerns about Mythos AI model

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Finance ministers and top bankers raise serious concerns about Mythos AI model



Experts say Mythos potentially has an unprecedented ability to identify and exploit cybersecurity weaknesses.



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Anthropic’s new AI model exposes fresh risks, flaws for cybersecurity, IT services – The Times of India

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Anthropic’s new AI model exposes fresh risks, flaws for cybersecurity, IT services – The Times of India


New Delhi: A powerful new AI model is forcing govts, banks, and technology firms to rethink the rules of cybersecurity – and in India, the stakes may be even higher.Claude Mythos, developed by Anthropic, has demonstrated the ability to autonomously detect and exploit software vulnerabilities, including flaws that have persisted for decades. Early tests revealed that the model could identify long-standing weaknesses and simulate complex, multi-step cyberattacks, prompting the company to restrict its wider release. Anthropic CEO Dario Amodei highlighted the shift, noting that AI systems are now capable of finding vulnerabilities “that humans have missed”, a signal of how quickly the cybersecurity landscape is changing.US Treasury Secretary Scott Bessent reportedly convened a meeting with top bank executives – including leaders from JPMorgan Chase, Goldman Sachs, Citigroup, BoA, and Morgan Stanley – to assess the risks posed by such advanced AI systems.That concern is not theoretical. According to Jaydeep Singh, GM for India at Kaspersky, the emergence of such systems represents a turning point not just for security professionals, but for everyday users. “We have been closely monitoring how AI is reshaping the threat landscape, and Claude Mythos represents a moment that every user, not just the cybersecurity industry, needs to understand,” Singh said.The dual-use nature of AI is at the heart of the concern. The same capability that strengthens defences can just as easily be weaponised. “The same capability that finds a 27-year-old vulnerability in hardened infrastructure is the capability that, in the wrong hands, turns every unpatched system into an open door,” Singh added.Cybersecurity firm Check Point Software Technologies echoed the warning. Sundar Balasubramanian, MD, India and South Asia, for Check Point, says, AI is “dramatically lowering the barrier to entry for cyber attackers,” enabling even less-skilled actors to identify and exploit vulnerabilities. He added that defensive tools can be repurposed offensively, compressing the traditional gap between attackers and defenders. Jayant Saran, partner, Deloitte India, described this as a “changed reality,” where organisations must prepare for risks that were previously invisible. He called AI a “double-edged sword…that cannot be reversed,” highlighting an accelerating race between those securing systems and those attempting to break them.In India, the risks are amplified by scale. From UPI to banking and govt platforms, millions depend on digital infrastructure – much of it built on legacy systems. These systems are often slower to patch, harder to monitor, and lack continuous threat intelligence, creating what Saran called an “asymmetric risk exposure.” Singh pointed out that this gap is especially critical in India, where legacy infrastructure serves hundreds of millions.Beyond cybersecurity, ripple effects could reach financial markets. Analysts say models like Mythos could automate parts of software development, testing, and security – core functions of IT services industry. While disruption may be gradual, labour-intensive outsourcing models could face pressure, while firms embracing AI may benefit.



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