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The true cost of being cancelled: Stars face financial ruin after being embroiled in scandal – but who has a buffer of cash and assets to fall back on if they never work again?

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Finance

The true cost of being cancelled: Stars face financial ruin after being embroiled in scandal – but who has a buffer of cash and assets to fall back on if they never work again?

Published

8 months ago

on

March 16, 2025

By

Press Room
The true cost of being cancelled: Stars face financial ruin after being embroiled in scandal – but who has a buffer of cash and assets to fall back on if they never work again?

Cancel culture is now so virulent and dangerous that stars are even buying insurance to protect themselves from financial and reputational ruin.

And no wonder, because MailOnline can today reveal how stars such as Phillip Schofield are losing millions each year after being sent into the celebrity wilderness.

One star whose work has dried up amid allegations of sexual impropriety claims to be £10million worse off – with just £320 left in one business, down from £432,583.

Exclusive analysis of publicly-available company accounts reveal how stars’ earnings have fallen off a cliff since leaving the public eye due to various scandals.

Mr Schofield’s long career means that while his gigantic earnings from This Morning, Dancing on Ice and advertising deals have vanished, he still enjoys the cushion of millions of pounds in cash and assets including several properties.

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Gino D’Acampo has built up a nest egg of around £6million from his ITV work and book deals over the past five years – but with no new shows on the way his earnings will take a hit of around £1million-a-year if the work runs out.

And for fallen stars like Gregg Wallace and Wynne Evans, their financial future could be bleak unless they can get their own careers back on track, especially without the comfort blanket of a BBC salary.

Noel Clarke, who was cancelled in 2021 and is fighting for his reputation in the High Court in a high-profile libel case with The Guardian newspaper, faces near-complete financial ruin if he loses the case.

Phillip Schofield is losing an estimated £1.4 million-a-year since quitting his job as This Morning presenter in June 2023.

The star, 62, left the show having admitted to having an affair with a junior colleague and then quit ITV altogether, leaving behind a host of well-paid presenting gigs.

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He was earning £730,000 for the This Morning presenter role with Holly Willoughby but also picked up a reported £45,000 an episode for Dancing on Ice, which runs for 10 episodes per year.

Presenting other shows like British Soap Awards, BBC game show The Cube, and an ITV series called How To Spend It Well all added to his lucrative annual earnings.

Away from the screen, Schofield has built up a cache of valuable assets, including properties.

Schofield admitted to a relationship with a much younger male colleague (pictured centre) and having lied about it to bosses – as well as his loved ones

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Phillip and Stephanie Lowe married in 1993 and raised two daughters, Molly, right, and Ruby, left. His daughters are also huge supporters - Molly is his publicist

Phillip and Stephanie Lowe married in 1993 and raised two daughters, Molly, right, and Ruby, left. His daughters are also huge supporters – Molly is his publicist

He sold a flat he was said to have used to entertain his lover for £1million last year, making a loss of £250,000 on what he paid for it.

He also owns a mansion in Henley-on-Thames outright, which is thought to be worth at least £5million.

In 2020 he picked up £1.2million for a book deal for his autobiography Life’s What You Make It.

Accounts for his two companies show they had assets of £3million in May 2023, soon after he quit This Morning. 

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Fistral Productions, for his TV work, held £2.137million in the year he quit This Morning. His wife Stephanie Schofield is listed as a co-director.

He also has a company called Fistral Property, with assets of £900,000. Mrs Schofield is also a co-director.

Potential loss: £1.4 million-a-year 

Gino D’Acampo 

Gino D’Acampo has seen the value of his company rocket by an average of £979,000-a-year for the last five years and is now worth just under £6million.

But it means he could now stand to lose £1 million a year – or potentially more – if his career had continued to blossom at the same rate.

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He lives in a £1.25million house in Hertfordshire, with wife Jessica, who is a director of his companies and the mother of his three children.

In February, ITV pulled all Gino D’Acampo’s shows from its upcoming schedules.

The TV chef, 48, has been accused of ‘sexually inappropriate’ behaviour spanning 12 years while filming his hit food and travel programmes. He denies the claims.

Mr D’Acampo has faced accusations including using sexualised and aggressive language on TV sets including ‘Gino’s Italian Express’, ‘Gordon, Gino and Fred’s Road Trip’ ‘Gino’s Italy: Secrets of South’, ‘Like Mamma Used to Make’ and ‘Emission Impossible’. 

ITV then changed its schedules to ensure he will not appear on our screens. But many of his shows remain available on its ITVX streaming service. 

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The new series of Family Fortunes, the iconic family gameshow hosted by Gino, was due for broadcast in early 2025 but has also been canned by ITV. 

Gino is the host of Family Fortunes. Episodes have been pulled and the new series canned

Gino is the host of Family Fortunes. Episodes have been pulled and the new series canned

The Italian star (centre), 48, who regularly appeared on ITV's This Morning (pictured) when Schofield was a co-host, has been 'cancelled' following multiple allegations of sexually inappropriate and intimidating behaviour

Gino D’Acampo, pictured with Holly Willoughby and Phillip Schofield, honours his promise to cook naked on This Morning if they won at the 2011 NTA Awards. Gino has become known for stripping off on screen

Gino D'ACampo and wife Jessica

Gino D’ACampo and wife Jessica

Gino ‘said and did whatever he wanted’ while working for ITV – as his alleged victims insisted they were ‘too afraid’ to make complaints at the time. 

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Sources told MailOnline that ITV began to ease out Gino in the wake of the scandal that engulfed the BBC over MasterChef’s Gregg Wallace, especially after Phillip Schofield’s bitter exit from This Morning.

But amid questions about why they didn’t raise incidents spanning 12 years, most of the women told ITV News they were ‘too afraid’ to make complaints about D’Acampo because they were self-employed and feared being ostracised in TV.

After a bumper few years, Gino’s company has seen its value increase by between £500,000 and £2.06million each year between 2019 and 2024. 

It currently has £2million in cash in the bank. The company is now worth £4.9million.

MailOnline estimates that his total net worth is £5.7million.

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Potential loss: £979,000-a-year

Gregg Wallace 

Gregg Wallace had been earning an estimated £400,000-a-year from his Masterchef role, which, as is suspected, will now be lost if he does not return to TV.

The former MasterChef host, 60, stepped down from hosting the BBC show with Jon Torode in November after multiple complaints of inappropriate behaviour on set.

Before his big break, the star used all his Cockney charms to create an appealing TV persona – ‘the fat, bald bloke off the telly who likes pudding’, as he once styled himself.

But he initially made his living as a greengrocer, although market traders he once worked alongside have claimed they were the ones left counting the cost of his success. 

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With his six-figure BBC salary on hold, Gregg has a separate fitness business on the side called Showme.fit which is currently worth £108,663. 

There is also a new health and food business, whose accounts are not yet available.

Ex-MasterChef judge Gregg Wallace was spotted for the first time in February after not being out in public since November 28, 2024

Ex-MasterChef judge Gregg Wallace was spotted for the first time in February after not being out in public since November 28, 2024

Wallace co-hosted Masterchef for 17 years alongside John Torode (left)

Wallace co-hosted Masterchef for 17 years alongside John Torode (left) 

But he stepped back amid an investigation into his conduct over a period of 17 years

But he stepped back amid an investigation into his conduct over a period of 17 years

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He also has £32,000 held in his company Lobster Enterprises Ltd, where his TV money is paid into.

George Allan’s Greengrocers, the company Wallace founded in 1989, was built into a business with a £7.5million turnover.

But last year a former manager claimed Gregg left behind £1.5 million in debt – and a host of disgruntled ex-colleagues – when the firm went under in 2000. 

In his 2012 autobiography, Life on a Plate, Wallace acknowledged: ‘We were owed millions and we owed millions to wholesalers in the market’.

He also described how he ‘didn’t have to pick up all the bills personally’ after Gregg Allan’s failed, since it was a limited company, and hit back at the idea that fame had resulted in a loss of focus on his part.

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‘Many of the traders had joined forces and said they refused to employ me,’ wrote Wallace. 

‘It wasn’t fair but they blamed me for George Allan’s closure. They thought I’d got too fancy and big for my boots, being on telly now, and I let it all go to pot.

‘Nothing could’ve been further from the truth, though. It’s always the way: the last one out to turn off the lights, gets the blame.’

Gregg founded George Allan’s Greengrocers in 1989 and built the company into a business with a £7.5 million turnover

Gregg founded George Allan’s Greengrocers in 1989 and built the company into a business with a £7.5 million turnover

In 2014 Gregg was forced to close his Wallace and Co restaurant in Putney, South West London and sell its parent company Wallace Cafes.

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Since then he has relied on his £400,000-a-year MasterChef salary, which is now hanging in the balance.

Much of the earning pressure is now on his ShowMe.Fit app, which he advertises using his popular Instagram account. But it emerged last year that he borrowed £70,000 to keep it going.

It is currently worth £108,663, according to the accounts.

Lobster Enterprises Ltd, where his TV cash is paid into, paid tax suggesting it made a £400,000 profit. But it is worth £32,000, according to the latest accounts.

The shamed Masterchef star, 60, also set up Gregg Wallace.Health after he himself shed five stone, with the business offering recipes, advice from experts and frozen ready deliveries.

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The website reads: ‘Ready to transform your health and feel your best? – no risks, just results. Cancel anytime’.

However in recent weeks fans who signed up have furiously taken to review bible Trustpilot and claimed they are being incorrectly charged and are struggling to get their money back.

One customer fumed: ‘What a scam. I cancelled my membership when they changed apps. However [it] managed to do an auto renewal of my membership and deducted an annual subscription for a non functioning App. Getting no reply on their email for a refund. Customer service terrible and would not recommend them’.

Potential loss: £400,000-a-year 

Noel Clarke 

Noel Clarke said that his work completely dried up the moment The Guardian story about his alleged sexually inappropriate behaviour was published.

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In court papers he has detailed more than £10million in lost earnings since the article in April 2021.

One company he still runs called Astonishing Entertainment Limited, had assets of £432,583 in the 12 months up to the end of March 2021, when the allegation was made.

The same company now has just £320 according to the most recent accounts which cover the 12 months to the end of March 2024.

His company Unstoppable Film and Television Limited was bought by powerful TV production company ALL 3 Media, which was behind Fleabag, in 2018, but Clarke and business partner Jason Maza stood down in August 2021 after the Guardian claims were published. 

Noel Clarke arrives at the Royal Courts of Justice this week for his libel case against The Guardian

Noel Clarke arrives at the Royal Courts of Justice this week for his libel case against The Guardian

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The company had assets of £3.3million in the months before the bombshell newspaper claims.

In court papers Clarke catalogued the earnings he was losing as a consequence of being cancelled.

They were a Sky TV show Bulletproof, series 4, where he lost his fee for acting in 10 episodes – £585,000, his fee for writing two episodes – £90,000 – his fee for directing two episodes – £90,000 – and anticipated royalties of £250,000.

The Guardian article came out midway through an ITV series Viewpoint which was immediately taken off the air.

But a second series had already been commissioned meaning he lost his fee – £270,000, anticipated royalties of an estimated £200,000.

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Advanced plans for a Channel 5 TV show Highwater which would have begun shooting in winter 2021 meant he lost a producer bonus – in the region of £60,000.

A BBC TV show called Crongton was ‘greenlit’ was ditched and meant he would not get a producer bonus – in the region of £60,000.

Clarke is known for his role in Doctor Who as Mickey. He is pictured here alongside Billie Piper who played Rose Tyler

Clarke is known for his role in Doctor Who as Mickey. He is pictured here alongside Billie Piper who played Rose Tyler

Noel Clarke pictured as DC Martin Young in the ITV Series Viewpoint

Noel Clarke pictured as DC Martin Young in the ITV Series Viewpoint

A StudioCanal movie Something in the Water would have earned him a producer bonus in the region of £40,000.

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He would also have earned a minimum salary from his ex production company Unstoppable Film and Television of £1.25million over 10 years not including raises or bonuses.

He also said the projected approximate value of shares in Unstoppable Film and Television, which he says has now been ‘wiped out’, would have been £7million.

Potential loss: £10million 

Wynne Evans

Wynne Evans has almost £1million in cash and assets sitting in the bank, his latest accounts reveal.

But he has had to step away from the public eye after making a lewd joke that saw him have to leave the lucrative Strictly Come Dancing tour this year. 

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Evans, 53, who made a sick sexual comment about dancer and broadcaster Janette Manrara, has also been replaced in his BBC Radio Wales show. 

Wynne Evans Ltd handles the majority of his media earnings, including his Go Compare commercial work.

GoCompare has repeatedly refused to say whether they are going to sack Wynne from his role, which is believed to worth at least £200,000-a-year. 

Wynne Evans is said to earn £200,000-a-year as the face of Go Compare

Wynne Evans is said to earn £200,000-a-year as the face of Go Compare

The Go Compare star reportedly believes his reputation has been unfairly left 'in tatters' after he apologised for a vile remark aimed at tour host Janette Manrara, when footage emerged of the comment at the tour's press launch

The Go Compare star reportedly believes his reputation has been unfairly left ‘in tatters’ after he apologised for a vile remark aimed at tour host Janette Manrara, when footage emerged of the comment at the tour’s press launch

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Accounts for year to end of May 2024, filed in February show he has cash and assets of £734,830 – down from £761,798 the year before. 

He paid £12,186 in tax.

It does not include what he was paid to be on Strictly and its live tour before he was forced to walk away from.

He owns a flat in Croydon bought for £198,000 in 2014. It is now worth an estimated £288,000. 

His ex-wife Tanwen Evans owns a home in Cardiff bought for £465,000 in 2013, now worth £875,000.

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He has a management company which manages the flat in Croydon but it is dormant.

But he disbanded another company seven years ago and he is one of many director-board members of a Opera theatre called Grange Park Opera in West Horsley.

When the Go Compare and Strictly star discussed the house he moved into after his divorce he described it as ‘sad and derelict’, backing onto busy a railway track and saying it cost £500,000 to make it fit to live in.

Back in January, the opera singer, 53, stepped down from the Strictly Come Dancing live tour after coming under fire for making a vile remark aimed at host Janette Manrara [pictured with Katya Jones]

Wynne Evans ‘ lawyers have reportedly compiled a 30-page dossier to take to showdown talks with the BBC as he fights to keep his beloved radio job

Wynne previously revealed he hit 'rock bottom' at the end of his marriage to Welsh violinist Tanwen (seen together in 2011)

Wynne previously revealed he hit ‘rock bottom’ at the end of his marriage to Welsh violinist Tanwen (seen together in 2011) 

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But pictures unearthed by MailOnline revealed that the stunning Edwardian villa was apparently in immaculate condition, with well presented rooms and gardens, packed with period features and in good condition.

And at more than £700,000 it was more than four times the then average property price for Cardiff.

In a recent interview discussing his 2015 divorce, the opera singer was bemoaning the state of the house in Cardiff which he bought after splitting from Tanwen and moving away from his two children.

He claimed the five-bedroomed house was ‘all he could afford’ and said he had spent £500,000 on improvements.

The house with three bathrooms in the leafy area was described at the time he bought it, in 2016, was certainly dated, and needed some modernising, but according to Evans it had ‘boarded-up windows’ and his then teenage children had to sleep in tents in their bedrooms during early visits. 

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Potential loss: At least £200,000-a-year 

Related Topics:dailymailGino DGregg WallaceITVnews
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Finance

How AI can help detect warning signs of financial market stress

Published

3 hours ago

on

November 5, 2025

By

Press Room

In a world of interconnected financial markets, policymakers and regulators face the complex task of identifying and addressing risks before they escalate into crises. The 2008-09 global crisis and recent episodes of market dysfunction highlight the need for early warning tools to detect vulnerabilities in real time. However, predicting financial market stress remains challenging, as traditional econometric models often fail to capture the complex, nonlinear dynamics and interconnectedness of modern financial systems.

Recent advances in artificial intelligence (AI) provide new tools to address these challenges. AI methods excel at analysing high-dimensional datasets and uncovering hidden patterns. While they are widely applied in asset pricing (Kelly et al. 2024), they are increasingly used for financial stability monitoring (Fouliard et al. 2021, du Plessis and Fritsche 2025). However, the ‘black box’ nature of AI models has limited their ability to generate actionable policy insights.

This article highlights recent research (Aldasoro et al. 2025, Aquilina et al. 2025) that advances the deployment of AI tools to anticipate financial market stress. These studies demonstrate the potential of AI to forecast market stress and dysfunction, offering both methodological innovations and actionable insights for policymakers by addressing the black-box issue.

The challenge of anticipating financial market stress

Financial market stress can take many forms, including liquidity shortages, price dislocations, and breakdowns in arbitrage relationships. Events such as the 1998 LTCM crisis, the 2008-09 global crisis, and the 2020 ‘dash for cash’ highlight the systemic risks posed by market dysfunction. These disruptions often begin in specific market segments, such as foreign exchange or money markets, but can quickly spread throughout the financial system, threatening its stability. Increasingly, stress has also shifted from traditional banks to non-bank financial intermediaries, reflecting the evolving nature of financial intermediation.

Traditional early warning systems, which were primarily designed to predict full-blown crises, have had mixed success. These models often suffer from high false positive rates and struggle to account for the nonlinear interactions and feedback loops that amplify shocks during periods of stress.

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Machine learning (ML) offers a promising alternative, particularly for generating early warning signals. Unlike traditional models, ML algorithms can process vast datasets, identify complex relationships, and adapt to changing market conditions. The studies discussed here demonstrate the potential of these tools to anticipate market stress and provide policymakers with timely warnings.

Using machine learning to model the tail behaviour of financial market conditions

Aldasoro et al. (2025) present a novel framework for predicting financial market stress using machine learning. The study begins by constructing market condition indicators (MCIs) for three key US markets critical to financial stability: Treasury, foreign exchange, and money markets. These indicators (illustrated in Figure 1) capture dislocations in liquidity, volatility, and arbitrage conditions.

Figure 1 Market condition indices for US Treasury, foreign exchange, and money markets        

Notes: This figure shows the five-day moving average of market condition indices for the US Treasury, money, and foreign exchange (FX) markets (upper, middle, and lower panels respectively). The sample period is from 01/01/2003 to 31/05/2024.

The paper employs random forest models, a popular tree-based machine learning algorithm, to forecast the full distribution of future market conditions. This approach uses multiple decision trees and averages their predictions, reducing the risk of overfitting. The results are noteworthy: random forest models outperform traditional time-series approaches, particularly in predicting tail risks over longer time horizons (up to 12 months). This is especially evident in forecasting foreign exchange market conditions (Figure 2).

Figure 2 Forecast accuracy of random forest and autoregressive models

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Notes: This figure compares quantile losses between the random forest and autoregressive models based on out-of-sample predictions across forecast horizons. Negative values indicate better performance of the random forest model.

To address the black-box issue, the study uses Shapley value analysis to explain the main factors driving market stress predictions. The analysis reveals that macroeconomic expectations and uncertainty, particularly around monetary policy, are significant contributors to market vulnerability. Liquidity conditions and the state of the global financial cycle also play critical roles. This approach not only improves predictive accuracy but also provides actionable insights for policymakers, enabling them to respond proactively to the build-up of vulnerabilities.

Combining machine learning with large language models

Aquilina et al. (2025) take a different approach by integrating numerical data with textual information using large language models (LLMs). The study focuses on deviations from triangular arbitrage parity (TAP) in the euro-yen currency pair, a key indicator of dysfunction in the foreign exchange market. By combining recurrent neural networks (RNNs) with LLMs, the authors develop a two-stage framework to forecast market stress and identify its underlying drivers.

The recurrent neural network detects periods of heightened triangular arbitrage parity deviations up to 60 working days in advance, effectively predicting market dysfunctions that may occur within a one-month window. Out-of-sample testing on 3.5 years of data demonstrates the model’s practical value. For example, the model identified elevated risks before the March 2023 banking turmoil, despite being trained only on data up to the end of 2020 (Figure 3). However, it did not predict the market anomaly caused by the onset of COVID-19, as the event’s origins were external to the financial system.

Figure 3 Predictive accuracy of market dysfunction episodes

Notes: True data: 20-day average of the daily euro-yen triangular arbitrage parity difference with the US dollar as the vehicle currency, calculated on a minute-by-minute basis. The vertical red dashed line represents the end of the training period, end-2020; everything to the right of this line is considered pseudo out-of-sample.

To address the black-box challenge, Aquilina et al. (2025) develop a new architecture for recurrent neural network models that dynamically assigns weights to input variables. This allows the model to identify which indicators are most important for predicting future market conditions at any given time. These weights can then be fed into an LLM to search financial news and commentary for contextual information, helping to uncover potential triggers of market stress.

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For instance, during the March 2023 banking turmoil, the model flagged elevated risks in euro liquidity and cross-currency arbitrage. Guided by these signals, the LLM identified news articles discussing tightening dollar funding conditions and rising geopolitical tensions. This targeted approach transforms opaque statistical forecasts into narrative explanations that policymakers can understand and act upon.

Policy implications and conclusions

While much more research into these issues is needed, these approaches show the promise of leveraging AI tools for financial stability monitoring and analysis.

  • First, our work has shown that machine learning models are useful in forecasting future conditions of various markets.
  • Second, the integration of numerical and textual data through machine learning and large language models provides a richer understanding of market dynamics. Policymakers can use these tools to monitor emerging risks in real time, combining quantitative forecasts with qualitative insights from financial news and commentary.
  • Finally, the interpretability of machine learning models is critical for their adoption in policy settings. Techniques like Shapley value analysis and variable-specific weighting not only improve the transparency of forecasts but also provide actionable information about the drivers of market stress.

Overall, these approaches represent a significant step forward in leveraging AI to detect vulnerabilities in financial markets. By combining different methods, the studies offer novel tools for forecasting market stress and understanding its underlying drivers. However, these methods are not without limitations, such as the risk of overfitting and the need for substantial computational resources. Policymakers and regulators should invest in the necessary data and infrastructure to fully harness the potential of these tools.

References

Aldasoro, I, P Hördahl and S Zhu (2022), “Under pressure: market conditions and stress”, BIS Quarterly Review (19): 31–45.

Aldasoro, I, P Hördahl, A Schrimpf and X S Zhu (2025), “Predicting Financial Market Stress with Machine Learning”, BIS Working Papers No. 1250.

Aquilina, M, D Araujo, G Gelos, T Park and F Pérez-Cruz (2025), “Harnessing Artificial Intelligence for Monitoring Financial Markets”, BIS Working Papers No. 1291.

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Du Plessis, E and U Fritsche (2025), “New forecasting methods for an old problem: Predicting 147 years of systemic financial crises”, Journal of Forecasting 44 (1): 3-40.

Fouliard, J, M Howell, H Rey and V Stavrakeva (2021), “Answering the queen: Machine learning and financial crises”, NBER Working Paper 28302.

Huang, W, A Ranaldo, A Schrimpf and F Somogyi (2025), “Constrained liquidity provision in currency markets”, Journal of Financial Economics 167: 104028.

Kelly, B, S Malamud and K Zhou (2024), “The Virtue of Complexity in Return Prediction”, Journal of Finance 79: 459-503.

Pasquariello, P (2014), “Financial Market Dislocations”, Review of Financial Studies 27(6): 1868–1914.

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Finance

First Financial completes $2.2bn acquisition of Westfield Bancorp

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22 hours ago

on

November 4, 2025

By

Press Room
First Financial completes .2bn acquisition of Westfield Bancorp

First Financial Bancorp announces completion of its acquisition of Westfield Bancorp and Westfield Bank. Credit: PRNewswire/First Financial Bancorp.

US-based bank holding company First Financial Bancorp has completed its previously announced acquisition of Westfield Bancorp and its subsidiary, Westfield Bank.  

In June, First Financial agreed to acquire Westfield Bancorp from Ohio Farmers Insurance Company in a cash-and-stock deal valued at $325m. 

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With the addition of Westfield Bank, First Financial’s total assets now stand at $20.6bn, strengthening its presence in the Midwest region of the US. 

The acquisition is said to expand First Financial’s commercial banking and wealth management services in Northeast Ohio. 

Westfield Bank’s retail locations and related services will now operate as part of First Financial’s network. 

These branches will retain their current branding until the completion of conversion process, which is expected to occur in March 2026. 

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The conversion will merge the two banks’ products, processes and operating systems. 

Westfield Bank clients will continue to receive services through existing channels, and will receive information about account conversions in the coming months. 

First Financial president and CEO Archie Brown said: “This is an exciting step in the growth of First Financial, as the addition of Westfield Bank opens new possibilities for growth and profitability for us in an attractive market. 

“We can now bring our wide range of solutions in consumer, commercial, specialty lending and wealth management to new clients, while expanding our geographic footprint for our current clients. 

“The First Financial team is thrilled to welcome the Westfield Bank team members to the First Financial family.” 

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The transaction follows First Financial’s recent expansion activities in the Midwest. 

In 2023, the company established a commercial lending presence in Northeast Ohio. 

Earlier this year, First Financial announced BankFinancial, the parent company of BankFinancial, National Association, in Chicago, Illinois. 

Furthermore, the company has also established a commercial banking presence in Grand Rapids, Michigan. 

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Finance

How AI can expose hidden Hezbollah and Hamas networks | The Jerusalem Post

Published

2 days ago

on

November 3, 2025

By

Press Room
How AI can expose hidden Hezbollah and Hamas networks | The Jerusalem Post
How AI can expose hidden Hezbollah and Hamas networks | The Jerusalem Post

Jerusalem Post/Defense & Tech

Hezbollah and Hamas thrive on shadowy financial networks-charities, trade deals, crypto wallets. But every transaction leaves a trace and AI can spot the patterns no human ever could.

Terror finance patterns
(photo credit: Courtesy)
ByYARON HAZAN
NOVEMBER 3, 2025 16:49
Updated: NOVEMBER 3, 2025 17:12

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