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Temporal Conformal Prediction (TCP): Rolling Calibration for Financial Risk Forecasting

Aich, Agnideep et al.
arXiv (All) · Papers
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machine-learning
We study two rolling conformal procedures that construct prediction intervals for financial returns. Temporal Conformal Prediction (TCP) uses a zero-truncated version of the conformalized quantile regression (CQR) score. TCP-RM adds an offset updated from observed coverage errors with a decaying ste
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