Category: 3. Business

  • How FX derivatives trading really moves exchange rates

    How FX derivatives trading really moves exchange rates

    London Business School’s Hélène Rey and Vania Stavrakeva, Vice President and Economist at the Boston Fed, Jenny Tang, LBS Economics PhD programme participant, Adrien Rousset Planat, together with Sinem Hacioglu Hoke of the Federal Reserve Board of Governors, and Daniel A. Ostry of the Bank of England, present the clearest picture yet of how the global foreign exchange (FX) derivatives market actually works, and how it shapes exchange rates, in a new National Bureau of Economic Research working paper, Topography of the FX Derivatives Market: A View from London.

    Using an unprecedented dataset covering 100m FX derivatives transactions in London, the world’s largest FX trading centre, the researchers map how different players interact day by day. Their findings show that exchange rates are influenced not just by macroeconomic news, but by who is trading and why.

    The research finds that pension funds, investment funds, insurers and non-financial companies mainly use FX derivatives to hedge currency risk, especially exposure to the US dollar. Dealer banks sit at the centre of this activity, absorbing these hedging positions and providing liquidity to the market.

    By contrast, hedge funds use FX derivatives primarily to speculate, frequently changing positions in response to interest rates, economic news and momentum strategies. These speculative trades play a key role in transmitting monetary policy shocks into exchange rate movements.

    The study also uncovers an important but less visible group: non-bank market makers, who often end up holding the residual currency risk created by speculative trading, even though they keep little long-term exposure overall.

    Crucially, the researchers show that FX derivatives trading is not just a sideshow to spot markets. Speculative flows by hedge funds help drive currency appreciation after interest-rate surprises, while the unwinding of hedges by investment funds can fuel dollar strength during periods of rising financial stress.

    The findings challenge standard models of exchange rates and highlight why understanding the structure and composition of FX derivatives markets is essential for policymakers, central banks and investors alike.

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  • Assessing Bancorp (TBBK) Valuation As Bearish Earnings Expectations Raise Volatility Risk

    Assessing Bancorp (TBBK) Valuation As Bearish Earnings Expectations Raise Volatility Risk

    Track your investments for FREE with Simply Wall St, the portfolio command center trusted by over 7 million individual investors worldwide.

    Bancorp (TBBK) is drawing attention ahead of its quarterly earnings report, with analysts flagging the event as a possible source of stock price swings and turning more cautious on near term earnings expectations.

    See our latest analysis for Bancorp.

    Those earnings expectations come after a sharp 14.73% 90 day share price decline and a 5.75% one day drop to US$67.19. However, the 1 year total shareholder return of 20.93% and 5 year total shareholder return of about 4x suggest longer term momentum has still been positive even as shorter term sentiment cools.

    If this sort of pre earnings tension has you looking wider, it could be a good moment to broaden your watchlist and check out fast growing stocks with high insider ownership.

    With Bancorp trading below analyst price targets and sitting on a 45% intrinsic discount, the key question is whether recent weakness has left the shares undervalued or if the market already reflects its future growth.

    The most followed narrative currently points to a fair value of $76.50 for Bancorp versus the last close at $67.19, so the market is sitting below that anchor while analysts and narrative authors keep their long term assumptions steady.

    The Bancorp is experiencing substantial growth in Fintech Solutions, driven by increasing volumes and expanded partnerships. This growth is expected to continue with credit sponsorship and higher fees from ACH, card, and payment processing. These initiatives are likely to boost revenue significantly in the coming years.

    Read the complete narrative.

    Want to see what sits behind that fintech story and a fair value above today’s price? The narrative leans on richer margins, higher earnings power and a lower future earnings multiple than many investors might assume. Curious which set of conservative sounding inputs still supports that valuation gap?

    Result: Fair Value of $76.50 (UNDERVALUED)

    Have a read of the narrative in full and understand what’s behind the forecasts.

    However, the story could change quickly if fintech partners pull back or if REBL loans and leasing experience additional credit issues that pressure margins and earnings guidance.

    Find out about the key risks to this Bancorp narrative.

    The earlier fair value of $76.50 paints Bancorp as undervalued by about 12%. On earnings multiples, the picture is more mixed. The shares trade on a P/E of 13x, which is higher than the US Banks industry at 11.8x, but below peers at 15x and below a fair ratio of 15.4x.

    In plain terms, the stock is priced richer than the sector overall but cheaper than similar names and the fair ratio the market could move towards. This leaves you weighing whether that gap looks like a cushion or a warning sign.

    See what the numbers say about this price — find out in our valuation breakdown.

    NasdaqGS:TBBK P/E Ratio as at Jan 2026

    If you see the numbers differently or prefer to test your own assumptions, you can build a custom Bancorp view in just a few minutes with Do it your way.

    A great starting point for your Bancorp research is our analysis highlighting 3 key rewards and 1 important warning sign that could impact your investment decision.

    If Bancorp has caught your eye, do not stop there. Broaden your opportunity set now so you are not relying on a single story.

    This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.

    Companies discussed in this article include TBBK.

    Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team@simplywallst.com

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  • ctDNA Positivity Associated With Worse Survival, Higher Recurrence Risk in Patients With NSCLC

    ctDNA Positivity Associated With Worse Survival, Higher Recurrence Risk in Patients With NSCLC

    Circular tumor DNA (ctDNA) positivity is associated with poorer survival and higher recurrence rates among patients with non–small cell lung cancer (NSCLC), but early detection may allow for timely intervention and improved outcomes, according to a study published in Translational Lung Cancer Research.1

    Evidence Gaps on the Prognostic Utility of ctDNA in NSCLC

    Despite treatment advances, many patients with stage I to III NCSLC still experience disease progression, resulting in poor prognosis and low 5-year survival rates. Imaging is commonly used to assess treatment response and monitor postoperative recurrence. The results, however, do not always align with pathological findings from invasive procedures such as surgical resection or biopsy. This highlights the need for accurate, non-invasive biomarkers that can predict prognosis, guide timely treatment decisions, and reduce recurrence risk.

    In recent years, ctDNA sequencing has emerged as a promising non-invasive method for detecting minimal residual disease. These DNA fragments originate from tumor cells and carry tumor-specific genetic information, with the potential to be used in early diagnosis, prognostic stratification, disease monitoring, and treatment response assessment across cancer types.2

    The researchers noted that ctDNA testing is highly sensitive, less repetitive, and more cost-effective than traditional approaches.1 Despite this, prior studies evaluating the early detection and prognostic utility of ctDNA in NSCLC often focused on specific disease stages or individual outcomes. To better understand the broader role of ctDNA in NSCLC treatment, the investigators conducted a comprehensive systematic review and meta-analysis of global research examining ctDNA detection at multiple time points and its association with various prognostic outcomes.

    Specifically, they searched multiple databases for studies published between January 2016 and May 2022, with updates monitored through June 2024. Eligible studies compared patients with ctDNA positivity vs negativity and reported associated survival outcomes. The researchers then pooled HRs or risk ratios (RRs) for relapse-free survival (RFS), overall survival (OS), and recurrence risk using random-effects models.

    CtDNA Positivity Predicts Worse Survival, Higher Recurrence Risk in NSCLC

    The literature search identified 52 eligible studies, including 50 original research articles, 1 conference abstract, and 1 research letter. The studies were published between 2016 and 2024 and were conducted across several countries, most commonly China and the US. Most focused on stage II and III NSCLC, with sample sizes ranging from 12 to 330 patients. Across studies, ctDNA was collected at multiple time points, including baseline, post-surgery, post-treatment, and during surveillance, using varied definitions of positivity.

    Baseline ctDNA was associated with poorer RFS in the overall NSCLC population (HR, 2.23; 95% CI, 1.82-2.75; I2 = 49%). Among patients with resectable NSCLC, positive ctDNA detected immediately after surgery was strongly linked to worse RFS (HR, 5.64; 95% CI, 3.88-8.19; I2 = 36%). Following treatment completion, patients with positive ctDNA were at a significantly higher risk of recurrence in both resectable (HR, 5.82; 95% CI, 3.12-10.87; I2 = 53%) and unresectable (HR, 2.72; 95% CI, 1.99-3.72; I2 = 39%) NSCLC, with elevated risk persisting during long-term surveillance.

    CtDNA positivity was also consistently associated with poorer OS throughout the course of treatment. At baseline, positive ctDNA predicted worse OS in both resectable (HR, 4.15; 95% CI, 2.45-7.02) and unresectable (HR, 1.74; 95% CI, 1.49-2.03) NSCLC. This persisted post-treatment, as patients with positive ctDNA and resectable disease had significantly worse OS following surgery (HR, 4.17; 95% CI, 2.22-7.84; I2 = 12%), while those with positive ctDNA and unresectable disease experienced poorer OS after completing treatment (HR, 3.38; 95% CI, 1.97-5.80; I2 = 57%). Studies also reported that this association remained statistically significant during the surveillance period.

    Lastly, ctDNA positivity was associated with an increased risk of recurrence across NSCLC subtypes. Patients with positive ctDNA had a higher recurrence risk at baseline (RR, 1.67; 95% CI, 1.27-2.20; I2 = 64%), after treatment completion (RR, 3.13; 95% CI, 2.09-4.67; I2 = 52%), and during long-term surveillance (RR, 5.42; 95% CI, 3.20-9.18; I2 = 81%). Among studies enrolling at least 10 patients, the median interval between ctDNA detection and radiographic or clinical recurrence was 2.93 months (range, 1.70-12.60).

    Realizing ctDNA’s Potential Through Further Research

    The researchers acknowledged several limitations, including significant heterogeneity across studies. Many included studies were also small and retrospective, which may limit the robustness of these findings. Still, they expressed confidence in their research and used it to identify areas for future investigation.

    “These findings underscore the potential of ctDNA-based liquid biopsy to refine risk stratification, guide individualized treatment decisions, and ultimately improve clinical outcomes in NSCLC,” the authors concluded. “Prospective trials with standardized methodologies are warranted to further substantiate these clinical benefits.”

    References

    1. Chen X, Zhang M, Zhou Q, et al. Circulating tumor DNA as prognostic markers of non-small cell lung cancer (NSCLC): a systematic review and meta-analysis. Transl Lung Cancer Res. 2025;14(12):5491-5508. doi:10.21037/tlcr-2025-900
    2. Schmid S, Jochum W, Padberg B, et al. How to read a next-generation sequencing report-what oncologists need to know. ESMO Open. 2022;7(5):100570. doi:10.1016/j.esmoop.2022.100570

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  • Frequent Use of AI in the Workplace Continued to Rise in Q4

    Frequent Use of AI in the Workplace Continued to Rise in Q4

    U.S. employees already using artificial intelligence (AI) in the workplace used it slightly more often in the fourth quarter of 2025 than in the prior quarter, continuing a gradual increase since 2023. The proportion of employees using AI daily has risen from 10% to 12%. Frequent use, defined as using AI at work at least a few times a week, has also inched up three percentage points to 26%.

    These increases are on par with the expansion of frequent workplace AI use reported throughout 2025. Meanwhile, the percentage of total users, those who use AI at work at least a few times a year, was flat in Q4 after sharp increases earlier in the trend. Nearly half of U.S. workers (49%) report that they “never” use AI in their role.

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    Organizational AI adoption has not changed meaningfully from the previous quarter. In Q4, 38% of employees said their organization has integrated AI technology to improve productivity, efficiency and quality. Forty-one percent said their organization has not implemented AI tools, and 21% said they don’t know. These results closely mirror Q3 figures.

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    AI Use Varies by Industry and Role Type

    AI use in the workplace is most prevalent in knowledge-based industries and least common in production and service-based sectors. Employees in technology, finance and higher education report the highest levels of AI use, especially compared with U.S. employees in retail, manufacturing and healthcare.

    Line charts show trends in workplace AI use by industry among U.S. employees, from 2023 to 2025. Across all industries, total AI use increases over time, with notable variation in adoption levels. Technology shows the highest use, with total AI use at 77%, including 57% frequent users and 31% daily users. College or university and finance also report high adoption, with total AI use at 63% and 64%, respectively. Professional services reaches 62% total AI use, including 36% frequent and 16% daily users. K-12 education shows rising use to 56% total AI use. Community or social services, government or public policy, healthcare and manufacturing show more moderate adoption, with total AI use ranging from about 41% to 43%. Retail reports the lowest adoption, with total AI use at 33%, including 19% frequent users and 10% daily users.

    Gains in AI use were uneven across industries in Q4. The total AI user base increased most in finance and professional services, moving up six and five points, respectively. These increases widened existing gaps between higher-growth industries and those with lower AI use. In retail, total AI use did not increase in Q4 from Q3, while manufacturing saw a three-point increase.

    In industries such as technology where AI use has been most prevalent, growth in total users shows signs of leveling, with gains found primarily among those already using AI. Total AI use in technology increased by just one percentage point in Q4, from 76% to 77%, while frequent use rose from 50% to 57%.

    Across industries, AI use is concentrated in roles that employees describe as remote-capable, meaning the job could reasonably be completed remotely regardless of where the employee actually works. These roles are typically desk- and office-based positions.

    Since Q2 2023, total AI use among employees in remote-capable roles has increased from 28% to 66%, while frequent use has risen from 13% to 40%. Growth has been slower in roles that are not remote-capable: AI use in these positions has increased from 15% to 32%, with frequent use rising from 8% to 17%.

    Line charts compare AI use among U.S. employees in remote-capable and non-remote-capable roles from 2023 to 2025. Employees in remote-capable roles show substantially higher AI adoption throughout the period. By 2025, total AI use among remote-capable employees reached 66%, including 40% who use AI frequently and 19% who use it daily. Employees in non-remote-capable roles reported much lower use. In the most recent data, total AI use among these employees is 32%, with 17% using AI frequently and 7% using it daily.

    Leaders Continue to Use AI More Than Other Employees

    Employees in leadership positions are more likely than managers and individual contributors to use AI at work. In Q4, 69% of leaders said they use AI at least a few times a year, compared with 55% of managers and 40% of individual contributors. Part of this difference likely reflects role type, as leaders are more likely to hold office-based and remote-capable roles where AI tools are more easily applied.

    Line graph. Percentages of Americans who think the coronavirus situation in the U.S. is getting a lot or a little better, staying the same, or getting a lot or a little worse, from April 2020 to February 2022. In the latest poll, 63% of U.S. adults said it is getting better, up from 20% in January. Twelve percent said it is getting worse, down from 58% in January and 25% say said it is staying the same, relatively unchanged.

    Leaders also report more frequent AI use than other employees, a gap that has widened over time. Since Q2 2023, frequent AI use among leaders has risen from 17% to 44%. Over the same period, frequent use among managers has doubled from 15% to 30%, while frequent use among individual contributors has increased from 9% to 23%. Frequent use has risen among all three types of workers since Q3, contributing to the overall climb in Q4.

    Implications

    Modest gains in frequent AI use were seen in Q4 2025, on par with the growth seen in Q3, but the percentage of employees who say they use AI overall remained flat. Use remains most prevalent in knowledge-based industries and remote-capable roles. These differences in AI adoption may help to explain why overall adoption appears to be slowing, even as AI use continues to deepen within certain segments of the workforce.

    Leaders, in particular, report substantially higher and more frequent AI use than other employees, and that separation has grown over time. Gallup research shows that lack of utility is the most common barrier to individual AI use, suggesting that clear AI use cases may be more apparent for leaders than employees in other roles. For organizations integrating AI technology, this underscores the importance of grounding decisions about AI adoption in a clear understanding of how AI may be applied to different roles and functions, not just among those closest to decision-making.

    Gallup’s newest indicator tracks workplace AI adoption over time, including usage frequency, employee comfort, manager support, organizational integration and strategic communication. Explore all of our indicators for global data on what matters most in the workplace and to societies at large.

    Lead AI adoption with intention and clarity.

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  • Relationship Between the Frequency of Complications After Open-Heart Surgery and Mean Platelet Volume

    Relationship Between the Frequency of Complications After Open-Heart Surgery and Mean Platelet Volume

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  • S&P 500 Margin Expansion All Coming from Tech

    S&P 500 Margin Expansion All Coming from Tech

    Operating margin measures the share of revenue left after covering operating expenses such as wages, materials and overhead. The chart below shows that over the past 20 years, all of the increase in the S&P 500’s operating margin has come from tech‑related sectors, while operating margins for non‑tech companies have stayed near 9%.

    Note: Tech related includes communication services, consumer discretionary and information technology. Sources: Bloomberg, Apollo Chief Economist

    Download high-res chart


    This presentation may not be distributed, transmitted or otherwise communicated to others in whole or in part without the express consent of Apollo Global Management, Inc. (together with its subsidiaries, “Apollo”).  

    Apollo makes no representation or warranty, expressed or implied, with respect to the accuracy, reasonableness, or completeness of any of the statements made during this presentation, including, but not limited to, statements obtained from third parties. Opinions, estimates and projections constitute the current judgment of the speaker as of the date indicated. They do not necessarily reflect the views and opinions of Apollo and are subject to change at any time without notice. Apollo does not have any responsibility to update this presentation to account for such changes. There can be no assurance that any trends discussed during this presentation will continue.   

    Statements made throughout this presentation are not intended to provide, and should not be relied upon for, accounting, legal or tax advice and do not constitute an investment recommendation or investment advice. Investors should make an independent investigation of the information discussed during this presentation, including consulting their tax, legal, accounting or other advisors about such information. Apollo does not act for you and is not responsible for providing you with the protections afforded to its clients. This presentation does not constitute an offer to sell, or the solicitation of an offer to buy, any security, product or service, including interest in any investment product or fund or account managed or advised by Apollo. 

    Certain statements made throughout this presentation may be “forward-looking” in nature. Due to various risks and uncertainties, actual events or results may differ materially from those reflected or contemplated in such forward-looking information. As such, undue reliance should not be placed on such statements. Forward-looking statements may be identified by the use of terminology including, but not limited to, “may”, “will”, “should”, “expect”, “anticipate”, “target”, “project”, “estimate”, “intend”, “continue” or “believe” or the negatives thereof or other variations thereon or comparable terminology.


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  • Buy Microsoft, Arm weakness; Google lifted to Strong Buy

    Buy Microsoft, Arm weakness; Google lifted to Strong Buy

    Investing.com — Here are the biggest analyst moves in the area of artificial intelligence (AI) for this week.

    Jefferies analyst Brent Thill said in a note this week that Microsoft Corporation (NASDAQ:MSFT) recent share-price pullback has opened up an appealing buying opportunity, pointing to the company’s backlog, AI partnerships and cloud momentum as key pillars of a strong multi-year growth outlook in large-cap technology.

    Thill noted that the stock has fallen 18% since the first fiscal quarter (F1Q), despite Microsoft’s disclosure of $250 billion in commitments to OpenAI and $30 billion tied to Anthropic. He adds that the current valuation of “23x CY27 EPS” now sits below Amazon and Google “despite superior visibility.”

    The analyst argues that Microsoft’s record contractual commitments are the main reason to step in at current levels. He expects second-quarter remaining performance obligations to deliver “the largest sequential step-up ever,” driven by the OpenAI and Anthropic agreements.

    Those deals, Thill said, reinforce “unprecedented multi-year demand visibility.”

    Azure remains a key upside driver. Thill describes Azure demand as “supply-constrained, not demand-constrained,” with Microsoft planning to double its data-center footprint over the next two years.

    The company has beaten its Azure revenue guidance for three consecutive quarters, and Thill believes execution on new capacity alone “could likely drive upside to both F2Q… and FY26 Azure consensus”

    The analyst also highlighted accelerating AI monetization through Copilot and other first-party offerings. With Azure accounting for “30% of overall revenue,” sustained outperformance could lift overall revenue growth into the “high teens,” he said.

    While he acknowledges ongoing capacity constraints and elevated capital spending, Thill believes Microsoft is positioned to deliver “meaningful upside to both top and bottom line” through fiscal 2026.

    Earlier in the week, Raymond James upgraded Google owner Alphabet (NASDAQ:GOOGL) to Strong Buy, arguing the company is moving into a phase where its AI stack is “shifting to high gear,” setting the stage for meaningful upward revisions to medium-term estimates.

    Analyst Josh Beck said refreshed bottom-up work on Search and Google Cloud Platform (GCP) prompted him to raise 2026 and 2027 forecasts, with his 2027 revenue outlook now above broader Street expectations.

    He said Alphabet is likely “entering a cycle of improving AI Stack narrative and upward revisions that could create one of the highest quality top-line AI acceleration stories in the public universe.”

    Beck added that for 2026, the AI stack narrative and related estimate revisions should become the dominant performance drivers among mega-cap internet names, rather than a mean-reversion trade.

    In Cloud, Beck models GCP revenue growth of 44% in 2026 and 36% in 2027, ahead of consensus. He points to strong contributions from infrastructure and platform services, supported by large-scale deployments of TPUs and GPUs and rising adoption of Gemini API and Vertex AI.

    By the end of 2027, he estimates GCP could be generating roughly $25 billion of annualized revenue from TPUs, about $20 billion from GPUs, around $10 billion from Gemini API and roughly $2.5 billion from Vertex AI.

    For Search, Beck forecasts revenue growth of 13% in both 2026 and 2027, above Street assumptions, as weakness in core search is offset by scaling adoption of AI Overviews, AI Mode and Gemini. He expects AI-driven queries to support stronger cost-per-click growth as context and conversion improve.

    Brokerage firm Stifel initiated coverage of Micron Technology with an Outperform rating, saying the memory cycle is moving into a multi-year upturn supported by structural AI demand and persistently tight supply conditions.

    The firm argues Micron is well positioned to benefit from rising average selling prices (ASPs) and a mix shift toward higher-margin products as memory becomes an increasingly critical constraint in AI systems.

    “Access to memory has become a key bottleneck in AI racks/systems, increasing demand for more performant, higher bandwidth memory (HBM) solutions,” Stifel analysts said.

    With supply expected to remain constrained into 2027, the broker sees a backdrop that supports sustained pricing strength and margin expansion. Against that backdrop, Stifel expects Micron to capitalize on “significant ASP growth and higher margin products,” forecasting non-GAAP EPS growth of more than 275% over the next two years.

    HBM is seen as central to Micron’s growth outlook. Stifel said HBM has moved into sharper focus as AI models grow more complex and require faster access to larger data sets. As next-generation chips integrate more HBM, memory is becoming a larger component of total AI infrastructure spending.

    As the number two player, Micron is expected to see HBM revenue rise 164% in fiscal 2026 and a further 40% in fiscal 2027, with DDR and QLC NAND also benefiting from AI-related demand, the firm noted.

    At the same time, Stifel flags several risks, including the potential return of Samsung as a more meaningful HBM competitor, heavy capital spending that could shift value toward equipment suppliers, a possible easing in DRAM supply-demand dynamics, and the risk that chipmakers design their own base logic dies.

    On valuation, Stifel said Micron trades at about 9.7 times calendar 2026 earnings, modestly below historical averages.

    “While valuation increasingly embeds significant growth expectations, we believe shares can continue to work on the back of a multiyear, AI-driven product cycle characterized by tight supply,” the firm wrote.

    Mizuho analyst Vijay Rakesh believes investors should use the recent pullback in Arm Holdings shares to build positions, arguing the market has become too negative on handset demand.

    Arm has fallen about 30% since November, even as the Philadelphia Semiconductor Index has gained roughly 10%. Rakesh said the concerns behind the move are “overdone,” adding that Mizuho would “be buyers of ARM on the ~30% pullback.”

    The analyst said that Arm’s growth drivers extend well beyond smartphones. While royalty revenue is roughly 50% tied to mobile, he said it has “always outgrown handset” trends and is expected to grow between 7% and 31% annually from 2021 through 2027.

    A key catalyst is the ongoing shift toward Arm’s v9 architecture, which carries “2x ASP/core at v9 vs. v8,” providing a structural uplift to royalties. Rakesh also pointed to rising interest in custom silicon, saying potential ASIC and CPU ramps in 2027 and 2028 could add “$1B+ top-line upside.”

    The analyst pointed out opportunities tied to AI-focused custom chips, including a possible training and inference ASIC linked to OpenAI and SoftBank. That project alone, he wrote, “could conservatively drive ~$1B…into C27-28E.”

    Beyond mobile, Arm is gaining traction in data centers as hyperscalers increasingly adopt its designs. Rakesh cited platforms such as AWS Graviton, Microsoft Cobalt, Meta’s planned CPU and Nvidia’s Grace and Vera as drivers of a “growing CSS customer base” and an improving royalty mix.

    The analyst reiterated an Outperform rating and $190 price target, saying Arm remains “well positioned as the broadest global semiconductor platform.”

    Meanwhile, Morgan Stanley upgraded the European semiconductor sector to Overweight this week. The Wall Street firm’s strategists believe the space offers an attractive setup for selective stock picking as diversification inflows build, valuation dynamics improve and semiconductor equipment names emerge as key beneficiaries of the next phase of the AI capex cycle.

    The strategists said European equities are seeing rising diversification inflows while beginning to break out of a long-standing valuation discount versus the U.S. Within that backdrop, semiconductors stand out as a sector where bottom-up fundamentals are increasingly driving top-down performance.

    Morgan Stanley said its preferred way to express this view remains analyst-led stock selection rather than broad factor exposure.

    “While European equities already feel highly idiosyncratic, we see plenty more room for Europe’s stock-level dispersion to rise towards cycle highs,” the strategists wrote.

    The upgrade is anchored in the semiconductor equipment segment. Morgan Stanley said ASML has been the dominant contributor to European Top Picks performance year to date, accounting for more than half of weighted gains. ASML also represents around 80% of the MSCI Europe Semis and Semicap sector.

    Looking ahead, the bank said the key risk in the AI cycle is shifting away from demand and toward execution and transition. “For 2026, the risk in the AI capex cycle is execution & transition, not demand,” the strategists said, arguing this shift favors European semicap exposure, particularly companies linked to extreme ultraviolet lithography.

    Morgan Stanley expects order intake in coming quarters to confirm higher foundry and memory capital spending into 2027, alongside better-than-feared demand from China.

    From a strategy perspective, the strategists said they adjusted their sector model to reflect stronger earnings and price target revision breadth for European semiconductors, while neutralising factors such as accruals and reducing China exposure. These changes lifted the sector to second place in its internal rankings, just behind banks.

    At the stock level, ASML and ASM International remain Morgan Stanley’s Top Picks, while BE Semiconductor Industries is also highlighted as an Overweight-rated beneficiary of the same themes.

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  • Owning 46% shares,institutional owners seem interested in Capital Limited (LON:CAPD),

    Owning 46% shares,institutional owners seem interested in Capital Limited (LON:CAPD),

    • Given the large stake in the stock by institutions, Capital’s stock price might be vulnerable to their trading decisions

    • A total of 7 investors have a majority stake in the company with 54% ownership

    • Insider ownership in Capital is 16%

    We’ve found 21 US stocks that are forecast to pay a dividend yield of over 6% next year. See the full list for free.

    If you want to know who really controls Capital Limited (LON:CAPD), then you’ll have to look at the makeup of its share registry. And the group that holds the biggest piece of the pie are institutions with 46% ownership. Put another way, the group faces the maximum upside potential (or downside risk).

    Since institutional have access to huge amounts of capital, their market moves tend to receive a lot of scrutiny by retail or individual investors. Hence, having a considerable amount of institutional money invested in a company is often regarded as a desirable trait.

    Let’s delve deeper into each type of owner of Capital, beginning with the chart below.

    View our latest analysis for Capital

    LSE:CAPD Ownership Breakdown January 25th 2026

    Many institutions measure their performance against an index that approximates the local market. So they usually pay more attention to companies that are included in major indices.

    Capital already has institutions on the share registry. Indeed, they own a respectable stake in the company. This can indicate that the company has a certain degree of credibility in the investment community. However, it is best to be wary of relying on the supposed validation that comes with institutional investors. They too, get it wrong sometimes. If multiple institutions change their view on a stock at the same time, you could see the share price drop fast. It’s therefore worth looking at Capital’s earnings history below. Of course, the future is what really matters.

    earnings-and-revenue-growth
    LSE:CAPD Earnings and Revenue Growth January 25th 2026

    Hedge funds don’t have many shares in Capital. Looking at our data, we can see that the largest shareholder is Aegis Financial Corporation with 10% of shares outstanding. The second and third largest shareholders are Jamie Boyton and Fidelity International Ltd, with an equal amount of shares to their name at 10%. Jamie Boyton, who is the second-largest shareholder, also happens to hold the title of Top Key Executive.

    On further inspection, we found that more than half the company’s shares are owned by the top 7 shareholders, suggesting that the interests of the larger shareholders are balanced out to an extent by the smaller ones.

    While studying institutional ownership for a company can add value to your research, it is also a good practice to research analyst recommendations to get a deeper understand of a stock’s expected performance. There are a reasonable number of analysts covering the stock, so it might be useful to find out their aggregate view on the future.

    While the precise definition of an insider can be subjective, almost everyone considers board members to be insiders. Management ultimately answers to the board. However, it is not uncommon for managers to be executive board members, especially if they are a founder or the CEO.

    I generally consider insider ownership to be a good thing. However, on some occasions it makes it more difficult for other shareholders to hold the board accountable for decisions.

    Our most recent data indicates that insiders own a reasonable proportion of Capital Limited. It has a market capitalization of just UK£267m, and insiders have UK£42m worth of shares in their own names. This may suggest that the founders still own a lot of shares. You can click here to see if they have been buying or selling.

    With a 38% ownership, the general public, mostly comprising of individual investors, have some degree of sway over Capital. This size of ownership, while considerable, may not be enough to change company policy if the decision is not in sync with other large shareholders.

    It’s always worth thinking about the different groups who own shares in a company. But to understand Capital better, we need to consider many other factors. To that end, you should be aware of the 1 warning sign we’ve spotted with Capital .

    But ultimately it is the future, not the past, that will determine how well the owners of this business will do. Therefore we think it advisable to take a look at this free report showing whether analysts are predicting a brighter future.

    NB: Figures in this article are calculated using data from the last twelve months, which refer to the 12-month period ending on the last date of the month the financial statement is dated. This may not be consistent with full year annual report figures.

    Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) simplywallst.com.

    This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.

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  • Housebuilding in London fall by 84% in a decade, study finds

    Housebuilding in London fall by 84% in a decade, study finds

    Kumail JafferLocal Democracy Reporting Service

    Getty Images A general view of residential homes with Stothert and Pitt Cranes on the bank of Royal Victoria Dock and the IFS Cloud Cable Car.Getty Images

    New research from consultants Molior found that there were just 5,547 starts on new private-sector residential homes in 2025

    Housebuilding in London’s private housing sector has fallen by 84% since 2015, despite the capital needing 88,000 new homes annually, a new study has found.

    New research from consultants Molior found construction work began on 5,547 new private-sector residential homes in 2025, compared with 33,782 in 2015.

    Lord Bailey, a member of the London Assembly, said London’s housing situation had gone from “difficult to devastating” and “ordinary Londoners are suffering the most”.

    A spokesperson for the Mayor of London said: “Tackling our urgent housing crisis is a top priority” and “Sadiq is doing everything he can to deliver more homes of all tenures”.

    ‘A collapse in housebuilding’

    Bailey told the Local Democracy Reporting Service (LDRS): “This is not just a housing crisis anymore, it is a crisis of stability, opportunity and dignity.”

    “I warned years ago that the mayor’s approach would lead to a collapse in housebuilding. Sadly, that is exactly what has happened.”

    Some 18,326 homes are expected to be completed in London by the end of this year, amounting to around half of the homes currently under construction.

    A further 14,053 homes are not expected to be completed until 2027 or later, which represents just 8% of the government’s 176,000-home, two-year target for London.

    This is a shortfall of 92%.

    Construction work has also been halted on 5,009 homes across 51 development sites in the capital.

    Molior suggests this may be due to building contractors “going bust” because of high construction costs or putting the work on hold deliberately due to a weak sales market.

    The firm added just 8,436 new homes were sold in London during 2025, which it described as “directly contributing to fewer construction starts”.

    To meet government targets, at least 22,000 homes would need to be sold each quarter.

    PA Media A close shot of Sir Sadiq, wearing a blue suit, looking into the camera with a neutral expressionPA Media

    Khan has said housebuilding has been affected by the “disastrous legacy of the previous government

    A spokesperson for the Mayor of London added: “This year, we are encouraging housing providers to bid for a record £11.7bn of government investment through the Mayor’s Affordable Homes Programme, to deliver social and affordable housing across London.

    “It will work alongside the launch of a new City Hall Developer Investment Fund, backed by an initial £322m, to support large-scale projects in London.

    “The government has also confirmed its support for plans to extend the Docklands Light Railway to Thamesmead, which will help unlock up to 30,000 new homes for Londoners across both sides of the river.”

    Khan said housebuilding has been affected by the “disastrous legacy of the previous government, high interest rates, the rising cost of construction materials, the impact of the pandemic and Brexit, and Building Safety Regulator delays”.

    Lord Bailey added: “It is time for the mayor to take responsibility. His policies have stifled development, slowed delivery, and left Londoners paying the price through rising rents, soaring house prices, and the painful reality of being priced out of the city they call home.”

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  • Japan PM vows to act against speculative market moves after yen spike

    Japan PM vows to act against speculative market moves after yen spike

    Japanese Prime Minister Sanae Takaichi said on Sunday her government will take necessary steps against speculative market moves, in the wake of a yen spike that heightened traders’ alert over the chance of currency intervention.

    Japanese government bonds and the yen have sold off in recent weeks on concern Takaichi’s expansionary fiscal policy and the slow pace of interest rate hikes by the Bank of Japan could lead to additional debt issuance and too-high inflation.

    After sliding near the psychologically important line of 160 to the dollar, the yen jumped suddenly on Friday after the New York Federal Reserve conducted rate checks, a move some traders saw as heightening the chance of joint U.S.-Japan intervention to halt the ailing currency’s slide.

    Weak yen, bond rout a headache for Takaichi, BOJ

    “I won’t comment on specific market moves,” Takaichi told a Fuji Television talk show, when asked about the bond selloff and the yen’s declines.

    “The government will take necessary steps against speculative or very abnormal market moves,” she said without elaborating. A weak yen has become a source of headaches for Japanese policymakers as it pushes up import costs and broader inflation, hurting households’ purchasing power.

    Takaichi has compiled a big spending package to cushion the blow from rising living costs and vowed to suspend for two years the 8% sales tax on food, triggering a spike in bond yields that increases the cost of funding Japan’s huge public debt.

    In the television programme, she said her government will aim to start the two-year tax suspension sometime during the fiscal year beginning in April.

    Takaichi has been under pressure to deal with the bond market rout, which has accelerated with her decision to call a snap election on February 8 to seek a mandate to gear up her expansionary fiscal policies.

    U.S. Treasury Secretary Scott Bessent signalled Washington’s displeasure over the repercussions from the rising Japanese yields, saying last week that it was “very hard to disaggregate the market reaction from what’s going on endogenously in Japan.”

    U.S. Treasury Secretary Scott Bessent gives a statement during the 56th annual World Economic Forum (WEF) meeting, at the USA House venue, in Davos, Switzerland, January 19, 2026.

    Denis Balibouse | Reuters

    “I’ve been in touch with my economic counterparts in Japan, and I am sure that they will begin saying the things that will calm the market down,” Bessent said at the World Economic Forum in Davos.

    Since then, Takaichi has stressed that Japan can secure enough funds for the tax suspension without issuing debt.

    Opposition proposes using BOJ fund to pay for tax cut

    BOJ Governor Kazuo Ueda on Friday signalled the central bank’s readiness to work closely with the government to contain sharp rises in yields, including by conducting emergency bond-buying operations.

    The market moves are emerging as a key topic of debate in the election.

    While most parties are calling for a cut to the consumption tax, several opposition parties have proposed investing the BOJ’s holdings of exchange-traded funds and government reserves set aside for currency intervention, and using the proceeds to fund a consumption tax cut.

    The BOJ could speed up the selling of ETFs so that the proceeds can be used more quickly to fund government spending, Makoto Hamaguchi, a senior official of the opposition Democratic Party for the People, told a Sunday talk show on public broadcaster NHK.

    Takaichi’s ruling coalition appears cautious of the idea.

    “Using reserves set aside for currency intervention would require selling U.S. Treasuries,” Takayuki Kobayashi, a senior official of Takaichi’s Liberal Democratic Party (LDP), told the NHK programme. “That could affect markets and cause a lot of problems.”

    Alex Saito, a senior official in the LDP’s coalition partner, the Japan Innovation Party, known as Ishin, pointed to problems that could emerge by tapping the BOJ’s ETF holdings to fund a tax cut.

    “Tapping BOJ assets risks undermining the central bank’s independence, and would be a dangerous step that could further weaken the yen and push up long-term interest rates,” Saito told NHK.

    In September, the BOJ decided on a plan to sell its huge ETF holdings, accumulated during its decade-long stimulus programme, at an annual pace of 330 billion yen ($2.1 billion).

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