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
Project description
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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