Factual package intelligence from PyPI
Python interface to recover a bound on ex ante dispersionof beliefs (DBB) from asset prices, based on Pazarbasi, Altan and Schneider, Paul Georg and Vilkov, Grigory, Dispersion of Beliefs Bounds: Sentimental Recovery (October 31, 2019). Swiss Finance Institute Research Paper No.
pip install dbbpy
PyPI declares 2 unique dependency rules for this release. Environment markers are shown when supplied by the project.
dbbpy publishes 1 wheel and 1 source archive for version 0.1.6. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.
PyPI does not currently declare: license, project URL. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.