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JUST IN: Coinbase receives conditional approval from US regulator OCC to operate the 'Coinbase National Trust Company' 👀🇺🇸 https://t.co/yZTiU2KnxM ...

Algorithmic-trading firm XTX Markets’ earnings rose roughly 33% last year as the firm’s revenue from market making and proprietary trading increased https://t.co/EQP3DZl5XK ...

🚨BREAKING: GLOBAL PLATFORM KROLL ASSIGNS INVESTMENT-GRADE RATING TO RIPPLE PRIMEGlobal credit rating agency Kroll has officially assigned an investment-grade (BBB) issuer rating to @Ripple Prime.The rating reflects the prime brokerage platform's financial strength, business expansion, and disciplined execution within the digital asset sector.Ripple Prime operates at the intersection of traditional and digital finance, providing institutional clients with well-capitalized brokerage services.This designation ...

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🚨 CRYPTO: ETORO GOES LIVE WITH CRYPTO TRADING IN NEW YORK, EXPANDS ACCESS TO 48 US STATES@eToro has launched crypto trading for New York residents, making it one of just 33 entities to activate the coveted New York BitLicense for live services. The platform now offers digital asset trading alongside stocks, ETFs, and options across 48 US states.The go-live follows years of regulatory engagement with NYDFS to secure both the BitLicense and Money Transmitter License, among the most rigorous frameworks in the ...

KKR’s non-traded business development company KKR FS Income Trust, a type of private credit fund for retail investors, curbed redemptions after receiving an increase in such requests, according to a shareholder letter https://t.co/apSBmwAANh ...

Summary of China Best Business Models Version 2 Conference Call Industry Overview - The conference focuses on the **China Equity Strategy**, specifically the launch of **China Best Business Models Version 2** by Morgan Stanley, which identifies 26 companies in China with sustainable competitive advantages [1][2]. Core Insights and Arguments - **Identification of Best Business Models**: The framework aims to identify publicly listed Chinese companies with superior return on equity (ROE) and valuation premiums, which are expected to generate sustainable medium-term alpha despite market volatility [3]. - **Performance Metrics**: The identified stocks offer an ROE that is **1.5 times higher** than the benchmark, with a back-tested **3-year Sharpe Ratio of 1.2** [1][8]. - **Portfolio Construction**: The portfolio consists of **26 high-quality companies** across **16 industry groups**, designed to deliver superior risk-adjusted returns and profitability [5][40]. - **Historical Performance**: The portfolio has demonstrated a **101% total return since 2023**, outperforming the MSCI China index by **83%** over the same period [8][33]. Methodology Enhancements - **AI Adaptability**: The framework incorporates AI exposure as a key stock selection criterion, focusing on companies that are AI enablers or adopters while avoiding those at risk from AI disruption [4]. - **Global Thematic Alignment**: The portfolio aligns with four global themes: **AI & Tech Diffusion, Future of Energy, Multipolar World, and Societal Shifts** [4]. - **Sector Allocation**: A proactive approach to sector allocation emphasizes long-term growth trajectories and policy support, resulting in a higher representation of **Materials, Industrials, and Information Technology** compared to the MSCI China index [4]. Key Statistics - **Portfolio Composition**: The portfolio includes a **19% weight** in Information Technology, **19% in Industrials**, and **12% in Materials** [8]. - **Valuation Metrics**: The portfolio exhibits a forward P/E of **14.4x** and a price-to-book ratio of **2.5x**, indicating attractive valuation metrics [8]. - **Market Capitalization**: The median market capitalization of the companies in the portfolio is **US$26 billion**, with a range from **US$587 billion** (Tencent Holdings Ltd.) to **US$4 billion** (Insilico Medicine) [40]. Additional Insights - **Analyst Ratings**: Of the 26 companies, **24 are rated Overweight** and **2 are rated Equal-weight** relative to their industry coverage, indicating strong analyst confidence in these selections [40]. - **Upside Potential**: On average, there is a **37.9% upside** to Morgan Stanley analysts' price targets, with a median upside of **36.7%** [40]. - **Risk-Adjusted Returns**: The portfolio is designed to generate sustainable earnings growth with resilience across market cycles, supported by superior risk-adjusted returns [8]. This summary encapsulates the key points from the conference call regarding the China Best Business Models Version 2, highlighting the strategic focus on quality, profitability, and valuation metrics in the context of the evolving Chinese equity market.

Summary of Key Points from the Investor Presentation on China Equity Strategy Industry and Company Overview - **Industry**: China Equity Market - **Company**: Morgan Stanley Asia Limited Core Insights and Arguments - **MSCI China Underperformance**: MSCI China has underperformed compared to Emerging Markets year-to-date, primarily due to the AI memory super-cycle, but has shown resilience amid recent oil and geopolitical uncertainties [9][11] - **Earnings Estimates**: Consensus earnings estimates for MSCI China have been increased by 1.2 percentage points for 2026 and 1.8 percentage points for 2027, indicating a positive outlook [55] - **Economic Growth Target**: The National People's Congress (NPC) has trimmed China's GDP growth target to 4.5-5.0% for 2026, maintaining a flat fiscal package [64][65] - **Regulatory Environment**: A shift from regulatory rectification to revitalization is expected to be more supportive of the private sector, enhancing corporate earnings quality and sustainability [29] - **Geopolitical Stability**: An interim truce in US-China relations is anticipated, which may alleviate investor concerns regarding decoupling [96][100] Additional Important Insights - **Corporate Profit Margins**: Corporate profit margins may not benefit significantly due to weak downstream demand, with potential risks from upstream inflation [74][78] - **Energy Transition**: China's energy shocks could accelerate its green transition, enhancing energy independence and security [44][41] - **Sector Allocation**: Morgan Stanley favors real-asset focused sectors in light of energy and AI disruptions, while remaining cautious on property and conventional consumption sectors [111] - **Volatility and Global Diversification**: High volatility is expected to persist globally as the world enters a multipolar era, but global diversification inflows could stabilize [29] - **China's Manufacturing Exports**: China is projected to contribute 16.5% of global export market share by 2030, maintaining a critical role in global supply chains despite diversification efforts [108][109] Conclusion The presentation outlines a cautious yet optimistic outlook for the China equity market, emphasizing the importance of stabilization and sustainability amid macroeconomic uncertainties and geopolitical tensions. The focus on sector allocation and regulatory support for the private sector suggests potential investment opportunities in the coming years.

Summary of the US Consumer Pulse Survey: Tracking Consumers' AI Use & Tax Season Expectations Industry Overview - **Industry**: Consumer Behavior and Sentiment Analysis - **Company**: Morgan Stanley & Co. LLC - **Survey Period**: March 19th - March 23rd, 2026 - **Sample Size**: ~2,000 consumers in the U.S. Key Insights on AI Usage - **Concerns Regarding AI in the Workplace**: - 38% of employees cite data privacy as a primary concern, followed by 37% concerned about the accuracy of AI outputs, particularly among white-collar workers (46%) [5][19] - Job security is a concern for 30% of respondents, with slightly higher concern among blue-collar workers [5][19] - **Adoption of AI in Work**: - 31% of employed respondents use AI for work-related tasks, an increase from 28% earlier this year, with higher adoption among white-collar workers (42%) compared to blue-collar workers (24%) [5][13] - Common use cases include writing/editing (66%) and information gathering (61%) [17][141] - **Personal AI Usage Trends**: - 43% of consumers use AI tools for research, up from 40% last month, with higher usage among younger consumers (53% aged 16-34) [6][137] - Approximately half of consumers report using AI at least once a week [7][132] Economic Sentiment and Concerns - **Inflation and Geopolitical Concerns**: - 57% of consumers express concern about rising prices, an increase from 55% last month [5][44] - Concerns about the U.S. political environment are cited by 43% of consumers, and geopolitical conflict concerns rose to 33% from 22% last month [5][44] - **Consumer Confidence**: - 32% expect the economy to improve in the next six months, down from 35% last month, while 49% expect it to worsen [73][44] - The net outlook score for the economy is -17%, indicating a decline in consumer sentiment [73][44] Tax Season Insights - **Tax Refund Expectations**: - 46% of consumers expect a larger tax refund this year compared to last year, while 18% anticipate a smaller refund [23][101] - Approximately half of consumers plan to allocate their refunds to savings, consistent with previous years [27][97] - One-third plan to use refunds to pay down debt, and about 30% intend to spend on everyday purchases, particularly among low-income consumers (37%) [27][98] - **Spending Intentions**: - Consumers' short-term spending outlook is positive, with a net spending outlook of +18% [104] - Essential categories like groceries and gas show positive spending intentions, while discretionary categories are weaker [109][113] Additional Observations - **Demographic Variations**: - Higher-income consumers are more likely to expect larger tax refunds and allocate them towards discretionary spending [29][102] - Concerns about debt repayment and rent/mortgage payments are more pronounced among lower-income consumers [49][53] - **Engagement in Activities**: - Participation in out-of-home activities remains stable, with 69% dining out, but the net engagement outlook is negative [117][120] - Online shopping remains prevalent, with 66% purchasing non-grocery items online [121][124] This comprehensive survey provides valuable insights into consumer behavior, particularly regarding AI adoption and economic sentiment, which can inform investment strategies and market predictions.