Python version of Beyond ARMA-GARCH: leveraging model-agnostic Quasi-Randomized networks and conformal prediction for nonparametric probabilistic stock forecasting (ML-ARCH)
A flexible hybrid approach to probabilistic stock forecasting that combines machine learning with ARCH effects, offering an alternative to traditional ARMA-GARCH models
