Bitcoin Reaches New Peak Correlation Ratio With S&P 500Bitcoin Reaches New Peak Correlation Ratio With S&P 500

cryptodailyPubblicato 2022-03-24Pubblicato ultima volta 2022-03-24

Introduzione

The alpha cryptocurrency has recently reached a new peak correlation ratio with S&P 500 (Standard & Poor's) stock market index.

The alpha cryptocurrency has recently reached a new peak correlation ratio with S&P 500 (Standard & Poor's) stock market index, an equity index maintained by Wall Street. The new correlation ratio has risen to 0.49, with the highest preceding record achieved sometime in October 2020.
Analysis came from Arcane Research, the research arm of Arcane Crypto, a crypto investments firm based in Stockholm, Oslo, and London founded by Torbjørn Bull Jenssen. According to Arcane Research, the 90-day correlation is effectively a new peak that shows and unprecedented rise in BTC (Bitcoin) price and value over its history.
"Bitcoin's correlation to the S&P 500 has only been higher for five days in BTC's history, showing that the current correlation regime is unprecedented in BTC's history," according to Arcane Research's weekly newsletter published on Tuesday.
Bitcoin has been considered an asset investment that is open to risk due to its proximity and sensitivity to stock market movements, compounded by concerns that regulatory restrictions imposed by the U.S. Federal Reserve may further push the crypto market and by implication the U.S. economy into an incoming recession.
Yield curve insights from the U.S. Treasury has brought about this renewed strength in the correlation, representing a 10-year and 2-year yield is now down to 20 basis points short of inversion before it becomes negative. These statistics are often considered as a marker or indication of incoming recession characteristics in a market.
The idea that crypto, and Bitcoin, by extension, are enough of a response to market fundamentals such as hyperinflation, creates a tension between the belief that Bitcoin itself can be used as a hedge against inflation, as some firms like MicroStrategy are doing. However, the new data set also indicates that Bitcoin and crypto are either reacting or responding to the rise in equity prices as a result of continued cash flows and buyer demand.
Amid a depreciating U.S. dollar and the purchasing power of related fiat currencies, Bitcoin has posted an 8% upturn since the Federal Reserve has implemented a raise for benchmark interest rates by 25 basis points (equal to 0.25 percentage points), the first of its kind since at least 2018. On the other hand and in comparison, the S&P 500 index rose by 6% after the hike, while the Nasdaq index went on to rally up to 8.7% as of last week.

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Fei-Fei Li's Team Clarifies the Concept of 'World Models', Sora Merely a Renderer

"World Models" has become a widely used yet confusing term in AI. To address this, a team led by Fei-Fei Li and World Labs proposed a functional taxonomy based on the Partially Observable Markov Decision Process framework. This taxonomy categorizes systems called "world models" into three distinct projections: Renderers, Simulators, and Planners. Renderers, like OpenAI's Sora and other video generation models, focus on producing photorealistic visual outputs for human perception. They prioritize visual fidelity over physical accuracy. Simulators, such as NVIDIA Omniverse, aim to compute precise future environmental states for computational tasks like engineering analysis or digital twins. Planners, like Vision-Language-Action models, take in observations and goals to output executable actions for robots or agents. The article clarifies that most current "world models," including Sora, are primarily Renderers. They generate convincing visuals but lack the core ability to simulate state transitions based on actions, a key requirement for a true world model in classic reinforcement learning definitions. This conceptual confusion has practical implications, leading to potential misalignment in technology selection, investment, and public understanding of AI capabilities. Clear categorization is crucial. It helps enterprises avoid costly mistakes (e.g., using a renderer for robot training), allows investors to accurately assess markets, and enables researchers to build comparable benchmarks. While future systems may integrate these functions, recognizing current boundaries is essential for honest assessment and progress.

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Fei-Fei Li's Team Clarifies the Concept of 'World Models', Sora Merely a Renderer

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Bloomberg Uncovered: How Do China's Wealthy Circumvent the Annual $50,000 Limit to Transfer Assets?

**Summary: How Wealthy Chinese Circumvent $50,000 Annual Foreign Exchange Limits** Despite China's strict capital controls, including an annual $50,000 per person foreign exchange quota, an estimated $150 billion in funds still leaves the country annually via various gray and underground channels. This report outlines the evolution of China's "capital wall" and the methods used to bypass it. **The Evolving Capital Controls:** * **Foundation (1994):** The system of "current account convertibility with strict capital account controls" was established. * **Quota Set (2007):** The $50,000 individual annual forex purchase limit was formalized. * **Crackdown Begins (2015-2017):** Following market volatility, enforcement tightened. Banks were required to scrutinize transactions, and channels like using UnionPay cards for Hong Kong insurance premiums or buying overseas property were blocked. * **Digital & Legal Upgrades (2024-2026):** Enhanced algorithms now flag suspicious patterns (e.g., "smurfing"). The Common Reporting Standard (CRS) provides Chinese tax authorities with data on citizens' offshore accounts. Unlicensed cross-border brokers have been targeted. **Five Primary Methods for Moving Capital:** 1. **Underground Banking / "Hawala" (Duiqiao):** The largest-scale method. No money crosses borders. Clients pay RMB to a domestic account; an overseas associate deposits equivalent foreign currency into the client's offshore account. Risks include high fees, account freezes, and legal penalties. 2. **"Smurfing" or "Ant Moving":** Using multiple individuals' $50,000 quotas to pool funds for one offshore recipient. Increasingly detected by anti-money laundering algorithms. 3. **Trade Invoice Manipulation:** Businesses over-invoice imports or under-invoice exports via offshore shell companies, creating a pretext to transfer excess funds abroad under the guise of trade. 4. **Channel Migration:** After a crackdown on internet brokers, funds flow toward more compliant but costly channels like major banks' cross-border wealth management services or Qualified Domestic Institutional Investor (QDII) quotas. 5. **Structural Arrangements:** High-net-worth individuals use complex, high-cost legal structures involving offshore trusts, insurance, and investment migration programs to transfer asset ownership. **Regulatory Response: Focusing on People, Not Just Money** The current strategy extends oversight from enterprises to **individual residents**. Tools like CRS allow retroactive visibility into offshore assets. Cryptocurrencies, once seen as a potential loophole, are now actively monitored and prosecuted as an illegal channel. The underlying driver remains: with significant wealth concentrated among millions of affluent households seeking diversification amid domestic economic shifts, the incentive to move assets offshore persists despite regulatory barriers.

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Bloomberg Uncovered: How Do China's Wealthy Circumvent the Annual $50,000 Limit to Transfer Assets?

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