Research: Stablecoin De-Pegging May Have a "Critical Threshold," Severe Narrative Shocks Can Trigger Panic Selling
The Institute of Financial Technology at Renmin University of China published a translated overview of stablecoin research from the Journal of International Money and Finance. The related research employs large language model (LLM) agents to analyze stablecoin de-pegging risks, indicating that de-pegging exhibits distinct nonlinear and threshold characteristics. Arbitrage mechanisms can absorb a certain degree of informational pressure, but once narrative severity reaches a "critical threshold," the system may rapidly enter a sustained de-pegging state.
