FTX灾火烧至传统VC圈,红杉资本、贝莱德、软银均踩雷

华尔街见闻2022-11-10 tarihinde yayınlandı2022-11-10 tarihinde güncellendi

Özet

红杉资本直接减记,可能表明公司已对FTX丧失信心,认为没有其他明确的途径可以收回其在FTX的投资。

FTX引发的流动性危机持续发酵,其暴露的深层次财务黑洞加剧“死亡漩涡”,令原本愿意雪中送炭的Binance都望而却步,已经踩雷FTX的投资者更是只能无奈“认亏”,其中就包括知名投资机构红杉资本。

”“

红杉资本在周三发布邮件称,公司已经将其FTX投资的价值减记至零。红杉资本告知投资人,去年公司在FTX的国际和美国业务上投入约2.14亿美元。另外据公司发言人表示,投资包括在FTX.com和 FTX.us的持股。

”“

公司在邮件中写道:”我们从事的业务需承担风险......有些投资会令人喜出望外,而有些投资则会令人大失所望。“

但是,红杉资本仍旧试图安抚投资者,表示即便在对FTX敞口最大的基金中,FTX占承诺资金的比例也不到3%。并且公司还强调称,该基金已实现和未实现的收益约达到75亿美元。

”“

媒体分析称,红杉资本之所以直接选择减记,能够在一定程度上说明,该公司已对FTX丧失信心,认为没有其他明确的途径可以收回其在FTX的投资。

”“

正如一家曾投资FTX、规模较小的风险投资基金Multicoin Capital周三的表态,其对投资者表示,公司10%的管理资产会受到影响:”不幸的是,我们无法从FTX撤回所投入的全部资产。“

”“

而除了上述公司之外,贝莱德、老虎环球、软银集团、常年位列加拿大前五大养老基金的安大略教师退休基金、知名美国橄榄球运动员Tom Brady和超模Gisele Bündchen夫妇等都位列FTX的客户名单之上,此次也或将一道蒙受损失。

”“

根据数据机构PitchBook,2019年12月老虎环球和安大略教师退休基金在一轮融资中首次投资FTX,当时FTX的估值为80亿美元。之后在2021年10月,两家基金又再度投资,助力FTX的估值达到250亿美元,随后在2022年1月又一次加码。

İlgili Okumalar

A 60-Day Window Depresses Oil Prices, So Why Is the Market Falling Instead?

International oil prices continued to decline on June 23, extending significant losses from the previous session. The market shifted focus from Middle East military risks to actual supply changes following a temporary U.S.-Iran arrangement. The immediate trigger was the resumption of traffic through the Strait of Hormuz, a critical oil shipping chokepoint, with two tankers passing through, signaling eased near-term supply disruption fears. Prices retreated as the "worst-case scenario" was temporarily averted. A reported 60-day window in a U.S.-Iran understanding allows Iran to sell oil during this period, further dampening supply concerns. However, this arrangement is temporary, linked to nuclear talks, and does not guarantee a long-term solution. Market sentiment remains cautious because the deal could still unravel, potentially reinstating sanctions or disrupting shipping. While these developments have lowered immediate risk premiums, prices have not fully returned to pre-conflict levels. Geopolitical news, particularly regarding the stability of the Strait of Hormuz or the progress of negotiations, could quickly reverse the price drop. Additionally, low U.S. strategic petroleum reserves limit the emergency buffer available if supply shocks reemerge. Therefore, the current price decline reflects a reduction in near-term panic, not a complete elimination of Middle East supply risks.

marsbit7 dk önce

A 60-Day Window Depresses Oil Prices, So Why Is the Market Falling Instead?

marsbit7 dk önce

SK Hynix Market Cap Exceeds Samsung for First Time in 26 Years, Korean Broker Calls for 50% More Upside

SK Hynix's market capitalization surpassed Samsung Electronics for the first time in 26 years on June 22, reaching 208.1 trillion won. The shift reflects a market trend where companies directly benefiting from AI infrastructure, like SK Hynix, are receiving higher valuation premiums than diversified giants. The surge is driven by AI-driven demand for High Bandwidth Memory (HBM), where SK Hynix holds a dominant 70-80% market share. Its Q1 2026 revenue exceeded 50 trillion won for the first time, with an operating profit margin of 72%. Hanwha Investment & Securities significantly raised its price target for SK Hynix to 430,000 won, the highest among Korean brokerages. The key rationale is that Long-Term Supply Agreements (LTAs) and robust HBM demand have fundamentally reduced the company's historical profit volatility. Several other brokers have also raised targets, arguing the valuation framework for memory semiconductors is being rewritten, moving away from a cyclical model. Despite the bullish outlook, the stock experienced a pullback of over 5% in regular trading on June 23 after briefly surpassing 3 million won pre-market, amid broader tech sector weakness. Some analysts caution that the市值 overtaking Samsung, whose profit scale and growth forecasts remain higher, could signal short-term overheating. However, high-return investors viewed the dip as a buying opportunity.

marsbit25 dk önce

SK Hynix Market Cap Exceeds Samsung for First Time in 26 Years, Korean Broker Calls for 50% More Upside

marsbit25 dk önce

GPU Rental Prices Drop 30% in Three Weeks: AI Value Chain Migrating from Nvidia to Memory Chips

GPU rental prices for Nvidia's flagship B200 chip have fallen by approximately 30% over three weeks, dropping from a high of $6.11/hour to $4.22/hour. This decline signals a potential easing of the "compute scarcity" narrative that has long supported AI hardware valuations. Concurrently, the semiconductor market is witnessing a significant divergence: while the VanEck Semiconductor ETF (SMH) has risen 15% in the past month, with memory giants Micron and SanDisk each surging nearly 60%, Nvidia's stock has declined about 3% over the same period. Analysts suggest this shift indicates that the AI value chain's bottleneck and profits are migrating from compute (GPUs) to memory. Demand for high-bandwidth memory (HBM) remains intensely strong, with contract prices soaring over 100% in H1 2026, granting memory manufacturers significant pricing power. In contrast, increased B200 supply from improved manufacturing yields and competitive pressure from new cloud providers are softening GPU rental rates. While long-term contracts, like SpaceX's $30 billion deal with Google, show sustained large-scale demand for Nvidia hardware, the softening spot prices pressure the margins of cloud providers and could eventually impact Nvidia's order flow if chip prices don't adjust. The key takeaway for investors is not a weakening AI thesis, but a recalibration within the sector: pricing power appears to be strengthening for memory chipmakers while showing signs of strain for leading GPU suppliers.

marsbit35 dk önce

GPU Rental Prices Drop 30% in Three Weeks: AI Value Chain Migrating from Nvidia to Memory Chips

marsbit35 dk önce

From Corning to Ciena: The 10X Stock Opportunities in the AI Optical Communication Chain

From Copper to Light: The AI-Driven Optical Communication Supply Chain and Investment Opportunities The exponential data demands of AI are pushing data centers beyond the physical limits of copper cables, forcing a critical transition to optical communication. This shift from electrical to photonic signals over distances greater than ~3 feet solves heat, power, and bandwidth constraints. The real investment opportunity lies not just in headline chipmakers, but across the entire essential photonics supply chain. **Key Investment Layers & Companies:** * **Glass & Fiber:** **Corning** is a dominant, irreplaceable supplier of advanced fiber to all major cloud/AI players (Meta, Amazon, Google, MSFT, OpenAI, NVIDIA), with multi-billion-dollar, multi-year contracts locked in years ahead of delivery. Its profit growth (93%) far outpaces revenue growth (36%), showing pricing power. * **Interconnects:** **Amphenol**, a consolidating giant in high-speed connectors (both copper and optical), shows robust growth (>80% in AI data centers) and expanding margins post-acquisition. **Credo Technology** bridges old and new worlds, extending copper's life in racks while moving into optics. It has hyper-growth but carries high customer concentration risk. * **Systems:** **Ciena** is a leader in coherent optics, enabling massive data capacity upgrades on existing fiber. It has a massive, growing order backlog ($~7B) and strong ties with cloud providers. * **Upstream & Enablers:** **AXT** produces mission-critical indium phosphide wafers for lasers, creating a supply bottleneck, but faces significant geopolitical/export license risk from its China-based manufacturing. **VEO Solutions** is the essential "picks and shovels" play, providing test equipment needed by every component in the optical chain, regardless of the eventual winner. A new pure-play photonics ETF (**FOTO**) offers a consolidated investment vehicle for this theme, though it is new and small. The core thesis is clear: the move from copper to light is inevitable and accelerating, with wealth creation spreading across this critical, multi-layered supply chain.

marsbit54 dk önce

From Corning to Ciena: The 10X Stock Opportunities in the AI Optical Communication Chain

marsbit54 dk önce

A Chip Company Releases AIDC Energy Storage Certification Standards. Why NVIDIA? Computing Power Reshapes Power Supply Logic. Who's in the Lead and Who's Left Out?

NVIDIA has released a "Battery Energy Storage System Self-Certification Guide," setting strict technical standards for energy storage systems specifically for AI data centers (AIDC). The guide focuses solely on certifying the Power Conversion System (PCS), not the batteries, with 10 mandatory performance metrics and 12 validation tests requiring real-world and simulation comparisons. Key requirements include rapid dynamic response to AI workloads, high-frequency system telemetry, and detailed electromagnetic transient models. The move is driven by the extreme and fluctuating power demands of next-generation AI hardware. Modern AIDCs require energy storage systems to act as intelligent, controllable grid assets, not just passive backup, to manage instantaneous, massive power load shifts that traditional UPS systems cannot handle. This redefines the competitive landscape for energy storage providers, shifting focus from capacity and cost to advanced control capabilities and system integration. While the market potential is significant—with forecasts of hundreds of GWh in new demand by 2030—the certification creates a high barrier to entry. It requires proven PCS delivery volumes and credible plans for rapid capacity scaling, favoring established, well-resourced players. Early movers like Fluence (partnering with Siemens) and several Chinese companies have secured projects ahead of the standard, but new entrants must now navigate this rigorous, costly, and time-intensive certification process to compete in the AIDC energy storage market.

marsbit1 saat önce

A Chip Company Releases AIDC Energy Storage Certification Standards. Why NVIDIA? Computing Power Reshapes Power Supply Logic. Who's in the Lead and Who's Left Out?

marsbit1 saat önce

İşlemler

Spot
Futures
活动图片