Python for Finance: Analyze Big Financial Data

(Elle) #1

integration, Integration


symbolic computation, Symbolic Computation


matplotlib library


3D plotting, 3D Plotting


benefits of, The Scientific Stack


financial plots, Financial Plots–Financial Plots


importing matplotlib.pyplot, Approximation


NumPy arrays and, One-Dimensional Data Set


pandas library wrapper for, Basic Analytics


strengths of, Web Plotting


two-dimensional plotting, Two-Dimensional Plotting–Other Plot Styles


maximization of Sharpe ratio, Portfolio Optimizations


mean returns, Normality Tests


mean-squared error (MSE), Calibration Procedure


mean-variance, The Data


mean-variance portfolio theory (MPT), Portfolio Optimization


memory layout, Memory Layout


memory-less processes, Stochastic Processes


Microsoft Excel (see Excel)


minimization function, Portfolio Optimizations


missing data, First Steps with DataFrame Class, Basic Analytics


model calibration


option modeling, Option Modeling


procedure for, Calibration Procedure


relevant market data, Relevant Market Data


modern portfolio theory (MPT), Statistics, Portfolio Optimization


moment matching, Variance Reduction, Random Number Generation


Monte Carlo simulation


approaches to, Monte Carlo Simulation


benefits of, Monte Carlo Simulation


BSM stochastic differential equation, Monte Carlo Simulation


drawbacks of, Monte Carlo Simulation, Least-Squares Monte Carlo


for European call option, Monte Carlo Simulation

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