Skip to main content

Time Series mean reversion utilities

Project description

johansen

Python implementation of the Johansen test for cointegration

Installation notes:

This package requires scipy, which in turn requires blas, lapack, atlas, and gfortran. These can be installed on a Ubuntu system with:

sudo apt-get install libblas-dev liblapack-dev libatlas-base-dev gfortran

Examples:

See examples folder for a jupyter notebook with example usage.

NOTE:

The cases when the chosen model (in the language of MacKinnon 1996) is 1* or 2* have not yet been fully implemented. They will be completed in the near future.

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

mean-reversion-util-0.0.6.tar.gz (16.6 kB view details)

Uploaded Source

Built Distribution

mean_reversion_util-0.0.6-py3-none-any.whl (33.7 kB view details)

Uploaded Python 3

File details

Details for the file mean-reversion-util-0.0.6.tar.gz.

File metadata

  • Download URL: mean-reversion-util-0.0.6.tar.gz
  • Upload date:
  • Size: 16.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for mean-reversion-util-0.0.6.tar.gz
Algorithm Hash digest
SHA256 b93d13c3addcb70d622feb4b086690af0eeed2f52398f5ce82883b96fab0c97a
MD5 95be82b11245d0e0e2599975594950d6
BLAKE2b-256 1aa326af7106c75d9e1c4f388384b974ebd4036fd107efa84d37e466538f38b2

See more details on using hashes here.

File details

Details for the file mean_reversion_util-0.0.6-py3-none-any.whl.

File metadata

  • Download URL: mean_reversion_util-0.0.6-py3-none-any.whl
  • Upload date:
  • Size: 33.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for mean_reversion_util-0.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 0da1166a8992e9da1c929ee4db53a48d4f3afd3caeb9cf4e9808a06dbb993884
MD5 074fa091bb1df9abb5e915b43af8bb54
BLAKE2b-256 834f8e93d741a875d7e0b8e8b5098e7fa556f98ac2223f4d11ee35810cb6295e

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