This paper proposes a no-arbitrage framework for modeling stablecoin prices using a latent liquidity risk premium driven by affine jump--diffusion dynamics. We consider two alternative specifications: a CIR--jumps model, which enforces non-negativity and state-dependent volatility, and a Vasicek--jumps model, which allows for symmetric deviations around parity. The latent liquidity factor and structural parameters are jointly estimated using a Particle Markov Chain Monte Carlo (PMCMC) algorithm within a nonlinear state-space setting. The approach captures both gradual liquidity adjustments and rare but significant de-pegging events. The affine structure ensures analytical tractability for pricing derivatives and computing forward-looking risk measures such as Value at Risk and Expected Shortfall. Overall, the framework provides a structurally consistent and empirically flexible tool for valuation and risk assessment in stablecoin markets.
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