Hong Kong issues third blockchain bond offering to cement crypto hub status

ambcryptoPublicado em 2025-11-10Última atualização em 2025-11-10

Key Takeaways

What makes Hong Kong’s blockchain bond offering significant?

Hong Kong is issuing its third tokenized bond across four currencies [USD, HKD, EUR, offshore yuan] using HSBC’s distributed ledger technology.

How does this fit into Hong Kong’s crypto hub strategy?

The blockchain bonds are part of a comprehensive 2025 push, including stablecoin licensing in August, and Asia’s first crypto ETFs [$500M AUM].


Hong Kong is marketing its third blockchain bond offering across four currencies as the city intensifies efforts to become Asia’s leading crypto hub. 

The government plans to sell tokenized green bonds denominated in U.S. dollars, Hong Kong dollars, euros, and offshore yuan. The deal could price as early as Monday, according to a Bloomberg report.

This marks Hong Kong’s third blockchain-based bond sale since 2023.

Blockchain bonds bridge traditional finance and crypto

Hong Kong is utilizing blockchain bonds to demonstrate that distributed ledger technology can drive institutional-grade finance. The strategy goes beyond crypto-native innovation. 

The city is digitizing traditional financial products to demonstrate to mainstream institutions that blockchain infrastructure is effective for regulated securities. The approach is paying off. 

Six corporate issuers have raised $1 billion through tokenized bonds in Hong Kong this year.

State-backed Chinese companies Shenzhen Futian Investment Holdings and Shandong Hi-Speed Holdings recently priced blockchain bonds in the city.

Hong Kong crypto hub strategy gains momentum

The blockchain bond offering fits into Hong Kong’s comprehensive push to dominate Asia’s crypto landscape. The city has rolled out multiple digital asset initiatives throughout 2025.

In August, the Hong Kong Monetary Authority launched a licensing regime for stablecoin issuers. The new rules require any entity issuing fiat-referenced stablecoins to obtain HKMA approval.

Hong Kong approved Asia’s first spot Bitcoin and Ethereum ETFs in April 2024. In October, it also approved spot Solana ETF, ahead of the U.S. These crypto ETFs now hold over $500 million in assets under management. 

The ETFs give retail and institutional investors regulated access to cryptocurrency without directly holding tokens.

Competing in global crypto race

Hong Kong’s accelerated crypto hub push responds to shifting global dynamics.

Asian policymakers are racing to match U.S. President Donald Trump’s pro-crypto policies, which have made America increasingly attractive for digital asset businesses.

The city offers compelling advantages. Hong Kong maintains 0% capital gains tax on crypto for individuals.

Also, the government recently waived taxes on cryptocurrency investment gains for hedge funds and private equity firms.

Blockchain bonds legitimize crypto infrastructure

While these tokenized bonds use private blockchain infrastructure rather than public networks like Ethereum, they legitimize distributed ledger technology for traditional finance. 

Success with government blockchain bonds could accelerate tokenization of other real-world assets.

Share

Leituras Relacionadas

OpenAI Researcher Exposes ASI Timeline: Most Have Become Reality

In April 2025, a group of former OpenAI researchers published a 71-page document titled "AI 2027," outlining a timeline for Artificial Superintelligence (ASI). Their predictions, now being tracked by an independent project, show 51% are already confirmed, ahead of schedule, or on track. Notably, alarming predictions are arriving faster than anticipated. The forecast that AI would achieve top-tier human-level capabilities in cyber offense and defense by early 2027 was realized in April 2026, nine months early. Similarly, major Pentagon contracts with leading AI labs were signed 18 months earlier than predicted. The core mechanism for an intelligence explosion—Recursive Self-Improvement (RSI), where AI accelerates its own development—has not yet closed its loop. While AI, like Anthropic's Claude, now writes most new code, the bottleneck has shifted to human review and high-level research direction. A July 2026 study indicates the current AI-driven productivity gain in R&D is about 9%, below the estimated 15% threshold needed for a self-sustaining RSI feedback loop. However, underlying capabilities continue to accelerate rapidly. The "time horizon" metric for AI to autonomously handle tasks is doubling every three months, suggesting monthly-scale autonomous operation could be feasible by early 2027. Consequently, the original authors have revised their median prediction for fully automated AI programming forward to around mid-2028.

marsbitHá 5m

OpenAI Researcher Exposes ASI Timeline: Most Have Become Reality

marsbitHá 5m

A PPT Dismissed as 'Nonsense' by MIT Professors 5 Years Ago Predicted the Core Ideas of OpenAI o1 and o3

In 2020, AI researcher Giambattista Parascandolo presented his vision for neural network reasoning at an MIT faculty interview, only to have the committee dismiss the direction as "nonsense." He later posted the details online. His talk centered on enabling artificial neural networks to generalize and plan beyond their training data, closer to human capabilities. Parascandolo proposed three key research directions. First was "open-ended reasoning," where models could dedicate more computation time to harder problems, continuously refining answers—a precursor to today's compute-adaptive reasoning models. He noted that simply adding steps (e.g., in RNNs) wasn't enough without learning to use them effectively. Second, he advocated using language as a medium for reasoning within reinforcement learning. By leveraging the world knowledge in models like GPT, agents could better describe environments, decompose tasks, and plan—foreshadowing concepts like chain-of-thought and agent workflows. His third direction involved giving AI systems the ability to manipulate their own learning process: resetting to past states, creating counterfactual scenarios, and even editing their own activations or weights to facilitate deliberate practice. Parascandolo, who earned his PhD focusing on out-of-distribution generalization and had internships at Google X and DeepMind, joined OpenAI in 2021. He contributed to GPT-4 and later became integral to the foundational research behind the reasoning models o1 and o3. His early, criticized ideas remarkably charted a course for advanced AI reasoning systems developed years later.

marsbitHá 10m

A PPT Dismissed as 'Nonsense' by MIT Professors 5 Years Ago Predicted the Core Ideas of OpenAI o1 and o3

marsbitHá 10m

US Debt Approaching $40 Trillion, BofA's Hartnett: Going Long on Gold Is the Optimal Solution Now

U.S. national debt is on the verge of reaching $40 trillion. Bank of America's Chief Investment Strategist Michael Hartnett, in his latest "Flow Show" report, identifies this as the core market narrative and argues that **going long on gold is the optimal solution** currently. He views gold as the best hedge against dollar depreciation, bond market collapse, and asset inflation. Key pressures on the bond market include soaring debt interest payments, nearing $1.4 trillion annually and set to become the federal government's largest expenditure. Simultaneously, a surge in corporate bond issuance, particularly for AI/data center projects (up roughly 12 times historical averages), is structurally steepening the yield curve and crowding out buyers for long-term Treasuries. Hartnett reiterates his asset allocation framework for the 2020s: **ABB (Away From Bonds), ABD (Away From Dollar), and AI (All In AI)**. Within the "ABD" theme, he explicitly recommends going long gold. He suggests policymakers have limited tolerance for significantly higher yields, especially with elections approaching. Under the "ABB" theme, he notes that some previously neglected long-duration assets like REITs, biotech (XBI), regional banks (KRE), and small-cap stocks are quietly outperforming as the market prices in a peak in yields. Conversely, within the "AI" theme, he proposes a counterintuitive trade: **shorting AI-related bonds**, given the sector's massive capital expenditure needs and negative free cash flow. Hartnett outlines key upcoming events (Jackson Hole, CPI data, Fed & BOJ meetings, U.S. elections) that will influence markets. His final outlook is politically contingent: a Republican-held Senate could fuel a further AI-driven market bubble into 2027, while a Democratic victory in November could trigger a >10% decline in stocks, the dollar, and bond yields by year-end.

marsbitHá 13m

US Debt Approaching $40 Trillion, BofA's Hartnett: Going Long on Gold Is the Optimal Solution Now

marsbitHá 13m

Trading

Spot
活动图片