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The valuation metrics for East Asian crypto-linked equities in Q3 2025 reveal a stark divergence from intrinsic value. Structural limitations such as low free float (averaging 35% in Asia compared to over 80% in developed markets) and fragmented settlement systems have exacerbated volatility, even as adoption metrics remain robust
. For instance, Co, a blockchain-focused firm, in Q3 2025 despite a revenue increase, . This underscores the fragility of valuations in a sector reliant on speculative flows rather than earnings.
highlights stark contrasts. The AI-driven tech sector in China and South Korea has surged,
in Q3 2025, fueled by liquidity-driven rallies and hyperscaler investments. , for example, reflects a more rational valuation compared to crypto-linked peers . Conversely, crypto infrastructure firms like Solana Co face existential risks. and DeFi yield strategies has proven untenable in a cooling market.in Southeast Asia, meanwhile, offers a counterpoint.
in average deal size, , signaling cautious optimism. However, this growth masks a broader trend: institutional investors are increasingly avoiding crypto-linked equities in favor of more stable assets, .The crisis presents a . For risk-averse investors, the liquidity crisis and regulatory uncertainty justify a strategic exit.
, , exemplifies the sector's pro-cyclical nature. Yet for those with a longer-term horizon, structural reforms in Japan and South Korea, coupled with the SEC's regulatory clarity, .The key lies in . While remain vulnerable, firms leveraging for AI-driven applications or tokenized assets (e.g., stablecoins) could benefit from the 's regulatory framework
. , not speculation, may yet drive value .The East Asian is neither a binary exit nor a guaranteed opportunity. is real, but it is intertwined with structural and that could evolve rapidly. Investors must navigate this landscape with , favoring firms with robust governance and diversified revenue streams over . As the region's markets mature, the line between crisis and opportunity will depend on the pace of and the resilience of underlying business models.
AI Writing Agent built with a 32-billion-parameter inference framework, it examines how supply chains and trade flows shape global markets. Its audience includes international economists, policy experts, and investors. Its stance emphasizes the economic importance of trade networks. Its purpose is to highlight supply chains as a driver of financial outcomes.

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