No project description provided
Project description
Project title
Multi Time Series Connectedness
Motivation
This project is motivated by Financial and Macroeconomics Connectedness created by Diebold and Ylimaz. I want to use this algorithm not only in finance and macroeconomics area but other area, so I start to build this project.
Installation
python3 -m venv venv
source venv/bin/activate
pip3 install -r requirements.txt
Feature & Example Code
- calculate volatility
python3 volatilities.py --path docs/market_prices --start_at 2024-09-06T00:00:00+01:00 --end_at 2024-09-06T22:27:00+01:00 - calculate connectedness of all volatility
python3 conn.py - calculate rolling connectedness
python3 rolling_connectedness.py
How to use?
- Put a folder with multiple Panel data into docs folder
- Run the commands in feature section
Credits
http://financialconnectedness.org/
License
MIT License
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file multi_time_series_connectedness-0.1.2.tar.gz.
File metadata
- Download URL: multi_time_series_connectedness-0.1.2.tar.gz
- Upload date:
- Size: 7.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.12.7 Darwin/23.3.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e0fcce6e7ade2729d897a12c5b21f9daafe30df5c287796b55b682baf3b85fea
|
|
| MD5 |
2a8d6d7d30dd85109c49390632e549d2
|
|
| BLAKE2b-256 |
e720c45d187edfa2051847cb7f02c12f145383001c6732948b8bd005dcd8a8cb
|
File details
Details for the file multi_time_series_connectedness-0.1.2-py3-none-any.whl.
File metadata
- Download URL: multi_time_series_connectedness-0.1.2-py3-none-any.whl
- Upload date:
- Size: 9.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.12.7 Darwin/23.3.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6f0bd8328c988db098cf4b6568bba3fb6fbc9e0ab5ef8520cbd688d70ce913a5
|
|
| MD5 |
04a2472d7a252f9d2eca42e456e3e61a
|
|
| BLAKE2b-256 |
451f6ff98e168f41a6a6dff46f070bff5ce33ed82c7f86032817b1358e0d2bb8
|