Factor Modeling, Portfolio Construction, Python, Log Returns, Finance.
expected_returns) # Assume market return as the average expected return market_return = np.mean(expected_returns) alpha = portfolio_return - \ (risk_free_rate + np.dot(self.portfolio_weights, expected_returns - market_return)) return alpha def calculate_information_ratio(self): # Calculate