AssayingAnomalies

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1.6.3 AssayingAnomalies-1.6.3-py3-none-any.whl
1.5.2 AssayingAnomalies-1.5.2-py3-none-any.whl

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Project: AssayingAnomalies
Version: 1.5.2
Filename: AssayingAnomalies-1.5.2-py3-none-any.whl
Download: [link]
Size: 120904
MD5: 67e35b8e697257ae990457f92c94a634
SHA256: 73cfb591781ad30272e3f798127bc4c7766c6aea2d51153845ad8fcdbd7c01db
Uploaded: 2024-03-06 01:41:18 +0000

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METADATA

Metadata-Version: 2.1
Name: AssayingAnomalies
Version: 1.5.2
Summary: This library is a Python implementation of the MATLAB Toolkit that accompanies Novy-Marx and Velikov (2023) and is to be used for empirical academic asset pricing research, particularly focused on studying anomalies in the cross-section of stock returns.
Author: Joshua Lawson
Author-Email: jlaws13[at]simon.rochester.edu
Requires-Dist: numpy (~=1.19.5)
Requires-Dist: scipy (~=1.5.4)
Requires-Dist: pandas (~=1.1.5)
Requires-Dist: statsmodels (~=0.12.2)
Requires-Dist: wrds (~=3.1.3)
Requires-Dist: requests (~=2.27.1)
Requires-Dist: matplotlib (~=3.3.4)
Requires-Dist: dask (~=2021.3.0)
Requires-Dist: pexpect (~=4.9.0)
Requires-Dist: paramiko (~=3.4.0)
Requires-Dist: setuptools (~=59.6.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 4729 characters]

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Tag: py3-none-any

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top_level.txt

AssayingAnomalies