IMF Flags Financial Stability Risks Amid Growing Tokenization Boom

TheNewsCryptoОпубликовано 2026-04-03Обновлено 2026-04-03

Введение

The IMF acknowledges that tokenization can increase transparency and reduce friction in finance but also warns it poses significant risks to financial stability. While atomic settlement and automation may reduce some traditional risks, they introduce new ones, making the overall impact uncertain. The tokenized asset market, currently valued at over $27.6 billion (excluding stablecoins), is projected to reach between $2 trillion and $16 trillion by 2030. The IMF report highlights both positive effects, such as faster cross-border payments and greater financial inclusion, and negative consequences, including increased capital flow volatility and threats to monetary sovereignty. It cautions that risks are shifting from banks to shared ledgers and smart contracts. Major institutions like BlackRock and the Intercontinental Exchange are advancing in tokenization, but the IMF warns that without legal clarity on ownership and settlement, these markets risk becoming fragmented and insignificant.

While the IMF acknowledged that tokenization might increase transparency and decrease friction in the financial sector, it also cautioned that the technology could pose risks to the sector’s stability.

With atomic settlement and improved transparency reducing certain old risks and speed and automation introducing new ones, the total impact of tokenization on financial stability is unknown, according to the IMF’s 23-page assessment released on Thursday.

Based on statistics from RWA.xyz, the total value of tokenized assets onchain exceeds $27.6 billion (not including stablecoins). The tokenization market might reach $16 trillion by 2030, according to Boston Consulting Group’s 2022 projection, but a more cautious $2 trillion, according to McKinsey & Co’s 2024 prediction.

Both Positive and Negative Effects

The International Monetary Fund (IMF) has said that although tokenization does increase the issuance, trading, settlement, and management of securities and other financial instruments, it also moves risks away from the banking sector and onto shared ledgers and smart contract code.

Tokenization, according to the agency, has both positive and negative aspects. On one hand, it may facilitate speedier cross-border payments and increase financial inclusion in developing nations. On the other hand, it increases the danger of capital flow volatility, currency substitution, and the loss of monetary sovereignty.

Some prominent Wall Street figures, including Larry Fink, CEO of BlackRock, have advocated for the tokenization of various assets on the blockchain, including equities, bonds, money market funds, and even real estate.

The BlackRock USD Institutional Digital Liquidity Fund’s tokenization platform, Securitize, ranks first among RWA tokenization platforms by total value locked at $3.38 billion, according to CryptoDep’s citation of April 1 data.

Intercontinental Exchange, the parent company of the New York Stock Exchange, has also taken action, saying in January that it would provide a tokenization platform that allows for the post-trade settlement of exchange-traded funds and equities and the 24/7 trading of these assets using a blockchain technology.

Tokenized markets run the danger of becoming disjointed and unimportant if there is no legal certainty about ownership records and settlement finality, according to the International Monetary Fund (IMF).

Highlighted Crypto News Today:

Hong Kong Stablecoin Licensing Delayed as HKMA Holds Back Approvals

TagsAltcoinBlockchain

Связанные с этим вопросы

QWhat are the potential benefits of tokenization in the financial sector according to the IMF?

AThe IMF acknowledged that tokenization might increase transparency, decrease friction, facilitate speedier cross-border payments, and increase financial inclusion in developing nations.

QWhat is the projected size of the tokenization market by 2030 according to different consulting firms?

ABoston Consulting Group projected the tokenization market might reach $16 trillion by 2030, while McKinsey & Co provided a more cautious prediction of $2 trillion in 2024.

QWhat new risks does the IMF associate with the tokenization of assets?

AThe IMF cautioned that tokenization could pose risks such as capital flow volatility, currency substitution, loss of monetary sovereignty, and the danger of markets becoming disjointed due to a lack of legal certainty about ownership records and settlement finality.

QWhich company's tokenization platform currently has the highest total value locked, and what is that value?

ASecuritize, the tokenization platform for the BlackRock USD Institutional Digital Liquidity Fund, ranks first with a total value locked of $3.38 billion according to April 1 data.

QWhat action has the Intercontinental Exchange (ICE) taken regarding tokenization?

AThe Intercontinental Exchange, parent company of the NYSE, announced in January that it would provide a tokenization platform for the post-trade settlement of exchange-traded funds and equities, enabling 24/7 trading of these assets using blockchain technology.

Похожее

Deconstructing the U.S. Stock Quantum Computing Sector: IonQ, Rigetti, D-Wave, Which of These Concept Stocks is Worth Betting On?

**Title:** Analyzing the US Quantum Computing Race: IonQ, Rigetti, D-Wave – Which Concept Stock is Worth Betting On? **Summary:** The podcast discusses the resurgence of quantum computing as a national priority for both the US and China, driven by its potential to break current encryption, revolutionize drug discovery, finance, and logistics. The core challenge is commercializing the technology, which is hampered by high error rates in quantum bits (qubits). Quantum error correction, requiring thousands of physical qubits per reliable logical qubit, is key but years away. The analysis compares three main publicly traded US quantum computing firms: * **IonQ (Ion Trap):** Considered the most financially stable with the fastest commercial progress (2025 revenue: $130M, +202%) and high-quality clients. Its valuation is very high, pricing in significant future growth. * **Rigetti (Superconducting):** Seen as the highest-risk, highest-potential-reward bet. It has the smallest revenue but recently launched a 108-qubit system. Its valuation multiples are extreme, making it highly sensitive to news. * **D-Wave (Quantum Annealing):** Has the most unique positioning with real-world enterprise clients today (e.g., Mastercard, Volkswagen) solving optimization problems. Its recent acquisition moves it into general-purpose quantum computing ("dual-platform"), adding execution risk. Major tech giants like Google, IBM, and Microsoft are also heavily invested, pursuing various technical approaches. Nvidia is positioning itself as the essential bridge between classical and quantum computing. The investment phase is likened to AI in 2018-2020: promising underlying technology with accelerating breakthroughs but a commercial inflection point still 3-7 years away, suggesting potential for a market correction ("bubble washout"). For investors, suggested approaches include gaining exposure through tech giants with quantum divisions (e.g., Google, IBM) or using niche ETFs like WQTM for pure-play quantum exposure, rather than direct stock picks in the highly volatile pure-play companies at this early stage.

marsbit25 мин. назад

Deconstructing the U.S. Stock Quantum Computing Sector: IonQ, Rigetti, D-Wave, Which of These Concept Stocks is Worth Betting On?

marsbit25 мин. назад

From Parallel Finance to Mainstream Finance: The On-Chain Securities Era Ushers in a Historic Window

From Parallel Finance to Mainstream: The Dawn of On-Chain Securities For over a decade, the crypto industry has operated as a parallel financial system with its own currencies, markets, and assets—from Bitcoin and ICOs to DeFi, NFTs, and memecoins. Despite building a robust internal ecosystem, a wall has separated it from the traditional financial world. That barrier is now crumbling. The industry's first act was one of internal evolution: ICOs streamlined fundraising, DeFi recreated financial services on-chain, and layer-2 networks competed for scalability—all within the crypto bubble. While innovative, this cycle remained closed, with capital and users circulating internally, leading to volatile boom-bust cycles. Even Bitcoin ETFs, while attracting Wall Street capital, merely provided a channel to buy crypto assets without bridging the systems. The next, larger narrative is Real-World Assets (RWA) moving on-chain. This involves tokenizing stocks, bonds, funds, and future cash flows. Blockchain can compress the complex traditional processes of trading, settlement, clearing, and custody into a seamless, automated network operating in seconds. This shift is creating a new financial gateway: the native crypto securities broker. This entity will combine functions of an exchange, broker, bank, and custodian into a unified global financial operating system. Consequently, the next major battleground won't be the "public chain wars" focused on speed and cost, but the competition to build the financial infrastructure capable of hosting high-quality, liquid real-world assets. Access to global equities, index funds, or stakes in companies like SpaceX could erase the boundary between crypto and traditional finance, unlocking a market orders of magnitude larger than crypto's current valuation. In summary, after years of creating a separate financial world, crypto's next decade will be defined by its integration into the existing global financial system, marking the true beginning of its largest growth story.

marsbit46 мин. назад

From Parallel Finance to Mainstream Finance: The On-Chain Securities Era Ushers in a Historic Window

marsbit46 мин. назад

Wang Chuan: When the Neighbor Old Wang Made 30x on Memory Stocks, How to Avoid Anxiety (Part Six) - The Trap of Commoditized Goods

Wang Chuan: When the Neighbor Lao Wang Made 30x on Storage Stocks, How to Stay Anxiety-Free (Part 6) - The Trap of Commoditized Goods. This essay uses historical and current examples to analyze the cyclical and high-risk nature of the data storage industry. It begins with the 1990s rise and dramatic fall of Iomega, whose stock soared over 160x in 18 months before collapsing 97% from its peak, illustrating the fleeting success of storage "meme stocks." The core problem is that storage products, like DRAM and flash memory, are highly commoditized. This leads to extreme volatility: prices have plummeted over 80% multiple times, and company stocks often crash 95% or go bankrupt. The industry's dynamic is defined by "elastic demand facing heavy-asset, long-cycle, rigid supply." When demand spikes and supply is fixed, prices skyrocket, as seen recently with AI-driven demand for High Bandwidth Memory (HBM). Companies like Sandisk and Micron have reported massive revenue and gross margin jumps (e.g., Sandisk's gross margin rising from 22.5% to 78.3%) despite minimal increases in production volume. However, these high margins are self-defeating. They incentivize massive new capacity investments (hundreds of billions planned from 2026), with supply expected to surge by late 2027. Once new supply meets demand, prices and profits will crash, potentially leading to a scenario where "selling more results in earning less." The article debunks the safety of long-term supply agreements, comparing them to fragile non-aggression pacts easily broken when market conditions shift. It warns that when an industry is highly profitable but trades at low P/E ratios, the risk is greatest, as plummeting prices quickly erase those earnings. Multiple asymmetric risks loom, including economic recession, reduced AI spending, faster-than-expected capacity expansion (especially from Chinese firms), and technological innovations that reduce memory requirements. In conclusion, the storage sector is a cyclical trap where periods of euphoric profits are often precursors to devastating downturns, luring unprepared investors into a "wealth incinerator."

marsbit55 мин. назад

Wang Chuan: When the Neighbor Old Wang Made 30x on Memory Stocks, How to Avoid Anxiety (Part Six) - The Trap of Commoditized Goods

marsbit55 мин. назад

Wang Chuan: When the neighbor Lao Wang earned thirty times from investing in memory storage stocks, how can you still avoid anxiety (6) - The trap of homogeneous products

The article, "Wang Chuan: How to Remain Unanxious After Neighbor Lao Wang's Thirty-Fold Gain on Storage Stocks (Part 6) - The Trap of Commoditized Goods," analyzes the cyclical and perilous nature of the data storage industry through historical and current case studies. It begins with the example of Iomega, whose Zip drives led to a stock surge of over 160x in the mid-1990s before collapsing over 97% from its peak due to competition from cheaper CD-R technology. This pattern is characteristic of storage, where products like DRAM are highly commoditized, leading to extreme price volatility. The sector has seen prices crash over 80% multiple times, with companies often facing bankruptcy. The core dynamic is "elastic demand facing heavy-asset, long-cycle, rigid supply." High prices attract new capacity, but the long lead time means supply eventually overshoots, causing sharp price corrections. The current AI-driven boom, exemplified by surging demand for High-Bandwidth Memory (HBM), has led to skyrocketing prices and profit margins for companies like SanDisk and Micron, despite relatively flat production volumes. However, the author warns this high-margin environment is self-defeating. The high profits are already triggering massive new capacity investments (hundreds of billions starting 2026), with supply expected to ramp up by late 2027. When supply catches up, total revenue and profits may fall even as more units are sold. Long-term supply agreements offer little protection, as buyers can find ways to renegotiate if market prices drop, similar to fragile political treaties. Key risks include economic downturns, cuts in AI spending, faster-than-expected capacity expansion (especially from Chinese firms), and innovations in chip/algorithm design that reduce memory needs. A critical trap is that at the cycle's peak, storage stocks often appear cheap with low P/E ratios, luring value investors just before an impending downturn where profits evaporate. The conclusion cautions that for commoditized goods like storage, high margins inevitably destroy themselves, and the current asymmetry favors downside risk over further upside. The neighbor's dream of easy wealth from storage stocks is portrayed as a precarious illusion.

链捕手1 ч. назад

Wang Chuan: When the neighbor Lao Wang earned thirty times from investing in memory storage stocks, how can you still avoid anxiety (6) - The trap of homogeneous products

链捕手1 ч. назад

Торговля

Спот
Фьючерсы
活动图片