MATLAB provides a variety of capabilities to analyze financial data and to develop models for optimizing your financial portfolios.īelow you see percent change in daily market closing data over a 10-year period for S&P 500, Nikkei 225, TSX Composite, CAC 40, DAX, and FTSE 100 indices from the U.S., Japan, Canada, France, Germany, and the UK respectively. The goal is to optimize the risk versus return of the set of investments. Portfolio optimization is commonly used by finance professionals to make investment decisions across a collection of assets such as stocks and bonds. While we’re at it, how about exploring different investment strategies? For example, you can lasso some airports and exclude them to see recommended paths update in real time.

In this example, MATLAB code expects a table with two columns of data in Longitude, Latitude column order:Īs you interact with the resulting visualization, you will notice that the view responds to your changes. Want to find the best path to travel between a set of airfields? In Tableau, just call out to that MATLAB model from your SCRIPT_ calculations and pass the necessary arguments as an ordered list. All you need to do is to write your MATLAB code as usual and deploy it to MATLAB Production Server. MATLAB offers many different methods to achieve such tasks from linear programming to genetic algorithms. Optimization of delivery routes is a very common application of advanced analytics in industries like shipping and manufacturing. Reference Materials Toggle sub-navigation.Teams and Organizations Toggle sub-navigation.

Help matlab 2017 find