Metadata-Version: 2.1
Name: dbbpy
Version: 0.1.6
Summary: 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. 19-57, Management Science, forthcoming, Available at SSRN: https://ssrn.com/abstract=3478587 or http://dx.doi.org/10.2139/ssrn.3478587
Author: Pietro Zanotta
Author-email: zanottapietro1@gmail.com
Requires-Python: >=3.8,<4.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: numpy (>=1.21,<2.0)
Requires-Dist: pybind11 (>=2.6,<3.0)
Description-Content-Type: text/markdown

# DBBPY
DBBPY is a Python package replicating the method to recover a bound on ex-ante dispersion of beliefs from asset prices with minimal assumptions detailed in Pazarbasi, Altan and Schneider, Paul Georg and Vilkov, Grigory, Dispersion of Beliefs Bounds: Sentimental Recovery (October 31, 2019). Swiss Finance Institute Research Paper No. 19-57, Management Science, forthcoming, Available at SSRN: https://ssrn.com/abstract=3478587 or http://dx.doi.org/10.2139/ssrn.3478587. 

For more information, refer to the [documentation](https://pietro-zanottas-organization.gitbook.io/dbb).
