Reliable value at risk estimation with conformal prediction
Quantile Dynamically-Tuned Adaptive Conformal Inference (QDtACI) is proposed, a model-agnostic conformal calibration layer that constructs finite-sample intervals around any VaR forecast, using only the return series and the forecast itself, whose reliability tracks the quality of the underlying forecast.