Implement a basic GARCH model

In this exercise, you will get familiar with the Python arch package, and use its functions such as arch_model() to implement a GARCH(1,1) model.

First define a basic GARCH(1,1) model, then fit the model, review the model fitting summary, and plot the results.

The data to use S&P 500 price return data has been preloaded as sp_data. Also the arch package has been imported for you.

This exercise is part of the course

GARCH Models in Python

View Course

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Specify GARCH model assumptions
basic_gm = ____(sp_data['Return'], p = ____, q = ____,
                      mean = '____', vol = 'GARCH', dist = '____')
# Fit the model
gm_result = basic_gm.____(update_freq = 4)

Edit and Run Code