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Barra_CNE5

Provide risk forecasts by Barra China Equity Model

Code Usage

  1. data.py Extract data from Wind database.

  2. style_factor.py Build style factors.

  3. factor_exposure.py Prepare factor exposures data for regression: truncate, winsorize and normalize style factors, build industry factors.Return a dataframe with hierarchy index (datetime, code) and columns containing: industry factors, 10 style factors, daily return and weight.

  4. regression.py Calculate factor returns by weighted linear regression. Predict risk by factor returns.

  5. utility.py Some utility functions.

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Provide risk forecasts by Barra China Equity Model

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