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.
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Release files for dbbpy 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| dbbpy-0.1.6.tar.gz | 7.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dbbpy-0.1.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.3 kB
Release files / dbbpy-0.1.6.tar.gz
| Download URL | dbbpy-0.1.6.tar.gz |
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| Size | 7.5 kB |
| Tags | Source |
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Release files / dbbpy-0.1.6-py3-none-any.whl
| Download URL | dbbpy-0.1.6-py3-none-any.whl |
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| Size | 9.8 kB |
| Tags | Python 3 |
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