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PyDataBlog/Expected Return of Portfolio.py

Last active October 3, 2017 17:33
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Expected Return of Portfolio.py
# expected return of the equally weighted portfolio
weights = np.array([0.5, 0.5])
individual_returns = np.array([rate_1, rate_2])
portfolio_returns = np.dot(weights, individual_returns)
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