Smart beta is an investment strategy that combines passive and active management. An investor passively follows indices, while actively incorporating other factors that exploit inefficiencies in the market. Smart beta are systematic investment strategies that aim to deliver higher return, lower risk, or more diversified performance in comparison to benchmark indices.
In equity investing, widely used factors in smart beta strategies are value, momentum, size, quality, and volatility. This approach can also be implemented in fixed income, commodity, and other asset classes.
Developing smart beta strategies requires both mathematical modeling and statistical analysis. MATLAB® provides both. It supports popular techniques for efficiently developing, back-testing, and implementing these strategies:
See also: Financial Instruments Toolbox, Spreadsheet Link, Statistics and Machine Learning Toolbox, Financial Toolbox, Datafeed Toolbox, Econometrics Toolbox, MATLAB, Database Toolbox, Trading Toolbox, Portfolio Optimization, Black Litterman, momentum trading, best execution