MathWorks Expands Risk, Investment and Portfolio Management Capabilities with Addition of Backtesting Framework
MathWorks announced a new backtesting framework in Financial Toolbox, available in Release 2020b of the MATLAB and Simulink product families. The new backtesting framework allows investment managers, risk managers, and traders to extend their use of the toolbox for risk, investment, and portfolio management.
Backtesting, routinely performed in trading and risk management, is a framework that uses historical or simulated data to validate financial models, including trading strategies and risk management models. Now, Financial Toolbox can help finance professionals define investment strategies, run backtests, and summarize results to conduct risk vs. return tradeoffs. The framework can also be used to analyze results and generate performance metrics for strategies from historical or simulated market data. The toolbox supports custom transaction costs, expanding or rolling lookback windows, margin trading, and long/short portfolios.
“The ability to backtest portfolios can save time and reduce errors that can be introduced by rebuilding tests for each asset class and investment strategy,” said Stuart Kozola, manager – quantitative finance products, MathWorks. “Financial Toolbox enables investment managers, risk managers, and traders to continue working in the familiar, fully transparent, and customizable MATLAB environment to evaluate investment strategies across all asset classes and sources of data, including alternative datasets.”