GARCH estimation with BFGS
-
Updated
Jun 30, 2026 - Fortran
GARCH estimation with BFGS
Version-controlled and automated knitting of an R markdown file to HTML to the docs folder. The code estimates a Bayesian HAR model for volatility of the S&P500 index via a systematic scan Gibbs-sampler. The code is a replication of the work by Botta (2026) on multi-horizon financial volatility forecasting and I added MCMC diagnostics.
Add a description, image, and links to the realized-volatility-forecasting topic page so that developers can more easily learn about it.
To associate your repository with the realized-volatility-forecasting topic, visit your repo's landing page and select "manage topics."