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Update index.rst
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christianjauregui committed May 2, 2020
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.. todo::
* Include option to construct the `Fama and French (2018) <https://www.sciencedirect.com/science/article/abs/pii/S0304405X18300515>`_ cash-based profitability factor, ``RMWc``.
* Within the instance method used for constructing market betas and rolling residual variances, :meth:`fama.getFactorRegResults`, extend the `Dimson (1979) <https://www.sciencedirect.com/science/article/abs/pii/0304405X79900138>`_ methodology based on `Scholes and Williams (1977) <https://www.sciencedirect.com/science/article/abs/pii/0304405X77900411>`_ to other factor quantities of risk beyond the `market (CAPM)` beta (eg, `SMB` and `HML` quantities of risk).
* Within the instance method used for constructing market betas and rolling residual variances, :meth:`FamaFrench.getFactorRegResults <famafrench.FamaFrench.getFactorRegResults>`, extend the `Dimson (1979) <https://www.sciencedirect.com/science/article/abs/pii/0304405X79900138>`_ methodology based on `Scholes and Williams (1977) <https://www.sciencedirect.com/science/article/abs/pii/0304405X77900411>`_ to other factor quantities of risk beyond the `market (CAPM)` beta (eg, `SMB` and `HML` quantities of risk).
* Verify the `pandas-datareader <https://pandas-datareader.readthedocs.io/en/latest/>`_ Python library is still unable to pull monthly and annual datafiles for the `Short-Term Reversal` or `Long-Term Reversal` Fama-French-style factors made public through `Ken French's online library <https://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html>`_.
* When applicable, constructed portfolios, specifically portfolio returns, number of firms in each portfolio, and `average` anomaly portfolio characteristics are compared with those provided by Ken French for the same frequency and over the same period. The sample `Pearson correlations`, sample `means`, and sample `standard deviations` for the following portfolios **can be improved**:

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