The Efficient Market vs. Panic Paradox: A Recursive Epistemic Diagnosis Through YBIM

This mini-paper presents a recursive epistemic analysis of the Efficient Market vs. Panic Paradox using the Yearning-Based Infinity Mathematics (YBIM) framework. Classical financial theory assumes that markets behave as rational information-processing engines, yet real-world markets regularly exhibit panic, herd behavior, and nonlinear emotional contagion. This work demonstrates that such breakdowns arise not from informational inefficiency but from recursive failures in narrative coherence and trust-field stability across market participants. The paper introduces three core diagnostic functions—narrative coherence N(t), recursive trust fields R_i(t), and the panic potential function P(t)—and formally states Theorem Y-Fin.11 (Recursive Fragility Theorem). Through this framework, market volatility is reframed as a phenomenon rooted in epistemic coupling rather than data shocks. A full recursive resolution strategy is developed, including narrative stability architectures, recursive agent-state mapping, and panic-preventive market signaling. The paper closes by emphasizing that markets must be understood as recursive moral-epistemic systems rather than efficient mechanistic ones, with direct implications for policymaking and AI-driven trading. This work is part of the broader Financial Paradoxes Series built within the YBIM and Recursive Epistemic Framework. -JSR