Factor Modeling, Portfolio Construction, Python, Log Returns, Finance.
np.dot(self.portfolio_weights, benchmark_returns)) information_ratio = excess_returns / tracking_error return information_ratio # Evaluation of the performance metrics log_returns = np.random.randn(100, 3) rebalanced_weights = np.random.rand(3) performance_eval = PerformanceEvaluation(