ARCH models in Python
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Updated
May 31, 2023 - Python
ARCH models in Python
This repository includes the scripts to replicate the results of my WORKING paper entitled "A False Discovery Rate Approach to Optimal Volatility Forecasting Model Selection". Access the article here https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3737477
The MCB for variable selection identifies two nested models (upper and lower confidence bound models) containing the true model at a given confidence level.
Easily evaluate your forecasts with (multivariate) Diebold-Mariano and (multivariate) Giacomini-White tests of equal predictive ability and MCS.
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