# Goldman Sachs Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Goldman Sachs", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

The 'Big Short' Burry: Now is an Excellent Time to Bottom-Fish in Hong Kong Stocks

The article discusses growing optimism towards Hong Kong stocks, led by prominent investor Michael Burry of "The Big Short" fame. Burry recently stated it is an "excellent time" to find cheap stocks in the Hong Kong market. His bullish view is based on the prediction that as the global AI chip stock frenzy cools, capital will flow out of markets like South Korea and Japan and seek undervalued opportunities, positioning Hong Kong as a potential beneficiary. Supporting this view, Goldman Sachs' Asia equity capital markets head, Wang Yajun, argues the Hong Kong market has already entered the AI era, but major indices have not yet reflected this reality. He points to active AI-related IPOs and transactions as evidence of underlying market vitality, contrasting with the weak performance of key indices like the Hang Seng. Data highlights Hong Kong's underperformance: the Hang Seng Index is down about 7% year-to-date, while markets in South Korea and Japan and semiconductor ETFs have seen significant gains. This disparity is seen by Burry and others as creating a valuation gap and a potential buying opportunity. The article notes Burry has acted on his view by increasing holdings in Chinese e-commerce firm JD.com. Morgan Stanley has also recently advocated buying Hong Kong stocks, citing positive corporate earnings expectations. However, challenges remain, including persistent concerns over Chinese consumer spending and e-commerce profitability, which continue to weigh on the market. The divergence between weak index performance and strong activity in specific sectors like AI presents both opportunity and complexity for investors looking to capitalize on Hong Kong's potential turnaround.

marsbit07/17 09:02

The 'Big Short' Burry: Now is an Excellent Time to Bottom-Fish in Hong Kong Stocks

marsbit07/17 09:02

The Big Short's Burry: Now is the Perfect Time to Bottom-Fish in Hong Kong Stocks

Michael Burry, the investor famous for predicting the 2008 financial crisis, recently stated on X that now is an "excellent time" to look for cheap stocks in the Hong Kong market. His bullish view is based on the expectation that the global AI chip stock frenzy will cool, leading funds to flow out of Korea, Japan, and semiconductor ETFs and into undervalued areas like Hong Kong. He has already acted by increasing his stake in JD.com. Hong Kong stocks have significantly underperformed global peers this year, with the Hang Seng Index down about 7% and the Hang Seng Tech Index falling over 15%. This contrasts sharply with major gains in Korean, Japanese, and semiconductor markets. Burry sees this disparity as creating a bargain-hunting opportunity. Adding another perspective, Goldman Sachs' Asia equity capital markets head, Wang Yajun, argues that while the Hong Kong market has already entered the AI era with active related IPOs and trading, its major indices have not yet reflected this reality due to structural lag. He expects record equity fundraising this year, driven by more AI company listings. Morgan Stanley has also recently advocated buying Hong Kong stocks, citing optimistic corporate earnings prospects. However, challenges remain, including concerns over China's consumer recovery and e-commerce profitability. The key for investors is navigating the overall index pressure while identifying specific structural opportunities highlighted by these bullish narratives.

链捕手07/17 08:57

The Big Short's Burry: Now is the Perfect Time to Bottom-Fish in Hong Kong Stocks

链捕手07/17 08:57

Goldman Sachs Report Deconstructs the Competitive Landscape of China's AI Large Models: Who Will Be the Long-Term Winner?

Goldman Sachs analyzes China's AI large language model (LLM) landscape, identifying key players and a strategic shift towards efficiency and global expansion. The report highlights that Chinese open-source/open-weight models are closing the performance gap with top global proprietary models at significantly lower cost, driven by architectural innovations like MoE. This enables a "two-tier" market: a high-end segment (e.g., GLM5.2, Qwen3.7 Max) with pricing at ~$1 per million tokens, and a low-end, price-sensitive global segment. Open-source strategies aid adoption but limit monetization, as deployments via third-party platforms (e.g., AWS Bedrock, Alibaba Cloud) may not generate direct revenue for model creators. The industry is thus moving towards "open-weight + community license" models with revenue-sharing to improve unit economics. Internationally, the focus is shifting from "token maximization" to ROI-driven enterprise adoption, particularly in non-U.S. markets. Major cloud platforms are integrating Chinese models (e.g., DeepSeek, MiniMax). Using a competitive framework based on pricing power, cost advantage, and financial strength, Goldman Sachs identifies **Zhipu AI** and **DeepSeek** as leaders in foundational text models, and **ByteDance** (with Seedance) leading in multimodal/video generation. **MiniMax** and **Kuaishou** are also rated favorably. The firm forecasts China's AI model API/subscription revenue growing from ~RMB 35bn (2026E) to RMB 879bn by 2030.

marsbit07/11 07:50

Goldman Sachs Report Deconstructs the Competitive Landscape of China's AI Large Models: Who Will Be the Long-Term Winner?

marsbit07/11 07:50

Goldman Sachs Bans It, Google Bans It Too: The Gray Zone of Prediction Markets Is Shrinking Fast

Goldman Sachs has updated its personal trading policy, prohibiting employees from trading event contracts on prediction markets involving specific companies (including whether Goldman itself might restructure or initiate acquisitions in a quarter), election outcomes, financial market performance (including Bitcoin prices), macroeconomic data, geopolitical events, and regulatory results for pending M&A deals. Sports and entertainment bets remain allowed. Violations can lead to dismissal or account closure, and the firm may reclaim profits over $200 or donate them to charity. This follows a CFTC case against a Google engineer who allegedly used non-public data to profit $1.2 million on Polymarket. Simultaneously, Google's Chrome Web Store updated its policy, banning extensions that facilitate real-money trading on prediction market outcomes, effective August 1, 2026. While not affecting platforms' websites or mobile apps directly, this restricts a key user access channel. These actions occur amid growing regulatory pressure on prediction markets. The CFTC is investigating Polymarket for alleged misconduct, and a consumer group has filed a lawsuit. Over 30 countries, including Argentina, have blocked access. Despite this, trading volume has hit record highs, and major investments continue, such as ICE's $2 billion stake in Polymarket. The core debate remains whether prediction markets are financial instruments or gambling. CFTC argues for federal oversight as derivatives, while some states seek to regulate them under gambling laws. Multiple fronts—federal probes, political pressure, internal corporate bans, and platform restrictions—are narrowing the operational space for these markets.

Foresight News07/10 03:43

Goldman Sachs Bans It, Google Bans It Too: The Gray Zone of Prediction Markets Is Shrinking Fast

Foresight News07/10 03:43

Goldman Sachs: How to Invest in Tech Stocks in the Second Half of the Year?

Goldman Sachs remains bullish on tech stocks in the second half of the year, advising a shift from "buying the sector" to "picking individual companies." The firm's latest report indicates the AI-driven tech cycle shows no signs of peaking, with supply exceeding demand or technological progress slowing yet to materialize. Recent pullbacks are viewed as healthy corrections following rapid gains, not a trend reversal. Three core investment themes are highlighted: 1) Maintain overweight positions in AI server and data center-related hardware stocks. 2) Conduct more nuanced risk-reward assessments in sub-sectors where supply and demand are tightening. 3) During periods of declining risk appetite, consider software and IT services companies leveraging AI to create new business opportunities as a defensive play. The report emphasizes that future outperformance will depend more on individual company competitiveness (alpha) rather than broad sector momentum (beta). Companies likely to excel are those benefiting from price increases, possessing strong capacity expansion capabilities, having undervalued AI growth potential, or holding unique catalysts. For defense, Goldman suggests focusing on AI-enabling software and service firms—such as those in AI consulting, data infrastructure, and cybersecurity—which may see efficiency gains and new demand, rather than retreating to traditional defensive sectors. Overall, the strategy balances offensive exposure to AI infrastructure with defensive positioning in AI-applicable software and services.

链捕手07/09 02:16

Goldman Sachs: How to Invest in Tech Stocks in the Second Half of the Year?

链捕手07/09 02:16

活动图片