Skip to main content

DCC-GARCH(1,1)

Project description

mgarch

mgarch is a python package for predicting volatility of daily returns in financial markets.

DCC-GARCH(1,1) for multivariate normal and student t distribution.

Use case:

For Multivariate Normal Distribution

# shape(rt) = (t, n) numpy matrix with t days of observation and n number of assets
import mgarch
vol = mgarch.mgarch()
vol.fit(rt)
ndays = 10 # volatility of nth day
cov_nextday = vol.predict(ndays)

For Multivariate Student-t Distribution

# shape(rt) = (t, n) numpy matrix with t days of observation and n number of assets
import mgarch
dist = 't'
vol = mgarch.mgarch(dist)
vol.fit(rt)
ndays = 10 # volatility of nth day
cov_nextday = vol.predict(ndays)

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

Academic Free License v3.0

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mgarch_setup_fix-0.2.0.tar.gz (3.3 kB view details)

Uploaded Source

File details

Details for the file mgarch_setup_fix-0.2.0.tar.gz.

File metadata

  • Download URL: mgarch_setup_fix-0.2.0.tar.gz
  • Upload date:
  • Size: 3.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.23.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.5

File hashes

Hashes for mgarch_setup_fix-0.2.0.tar.gz
Algorithm Hash digest
SHA256 870b72a4d1fd3620afb45b6cbe884ea2e8dac12fa229cbf64bc3226de9355748
MD5 086f2c1c2baf4d118eb444f936aa6da5
BLAKE2b-256 11deea69abcbc7b6619afd0d79dde17faf72195eeace4efa26f2842bd7748fbc

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page