Skip to main content

A package for calculating systemic risk in the market

Project description

systemic_risk

Estimate systematic liquidity in the market using only close and volume data: https://www.financialresearch.gov/working-papers/files/OFRwp-2015-11_Systemwide-Commonalities-in-Market-Liquidity.pdf

Getting Started

Dependencies

Installation

pip install systemic_risk

or

pip install -U systemic_risk

Example

import yfinance as yf
from systemic_risk import Liquidity as lq
yf_df = yf.download('SPY, ^FTSE, ^N225', start='2003-01-01', end='2022-01-01')
close, volume = yf_df["Close"].to_numpy(), yf_df["Volume"].to_numpy()
obj = lq.Liquidity(close, volume)
obj.fit_transform()

Authors

Flynn Chen (flynn dot chen AT yale dot edu)

License

This project is licensed under the MIT License - see the LICENSE file for details

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

systemic_risk-0.0.5.tar.gz (4.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

systemic_risk-0.0.5-py3-none-any.whl (4.8 kB view details)

Uploaded Python 3

File details

Details for the file systemic_risk-0.0.5.tar.gz.

File metadata

  • Download URL: systemic_risk-0.0.5.tar.gz
  • Upload date:
  • Size: 4.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for systemic_risk-0.0.5.tar.gz
Algorithm Hash digest
SHA256 51f2f07ab31eceef5ea1b7ca4ce06cc6576f42793fc6659f84119961485fccea
MD5 6f1f3584b7ef075d426d3bee463643ef
BLAKE2b-256 b2235c15e64e0579cfc6739fb9bd2bfe016328b589340af89e94a399be0c8160

See more details on using hashes here.

File details

Details for the file systemic_risk-0.0.5-py3-none-any.whl.

File metadata

  • Download URL: systemic_risk-0.0.5-py3-none-any.whl
  • Upload date:
  • Size: 4.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for systemic_risk-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 3f5a40348a4d7f00e3ed9828aee8342451bee337579c61ee8a4dd0200aeb6d67
MD5 a0e1349f9046869fc65091d3a4e52954
BLAKE2b-256 e04d5277a4dcb05dba92c81c39d1a10ff45ed48a54555717b0aec164f1d0335b

See more details on using hashes here.

Supported by

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