ARCH (Autoregressive Conditional Heteroskedasticity) models are a class of models designed to capture a feature of financial returns data known as volatility clustering, i.e., the fact that large (in absolute value) returns tend to cluster together, such as during periods of financial turmoil, which then alternate with relatively calmer periods. This package provides efficient routines for simulating, estimating, and testing a variety of GARCH models.

ARCHModels is a registered Julia package. To install it in Julia 1.0 or later, do

add ARCHModels

in the Pkg REPL mode (which is entered by pressing ] at the prompt).

The extensive documentation is available here.

If you use this package in your research, please consider citing our paper.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 750559.