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Exercise

Solve a simple portfolio optimization problem

This first exercise will teach you how to solve a simple portfolio optimization problem using PortfolioAnalytics. You will learn how to create a portfolio specification object, add constraints and objectives, and solve the optimization problem. The portfolio problem is to form a minimum variance portfolio subject to full investment and long only constraints. The objective is to minimize portfolio variance. There are two constraints in this problem: the full investment constraint means that the weights must sum to 1, and the long only constraint means that all weights must be greater than or equal to 0 (i.e. no short positions are allowed).

Instructions
100 XP
  • Create a portfolio specification object using asset names from the index_returns dataset and name the portfolio specification object port_spec.
  • Add a full investment constraint such that the weights sum to 1 to the port_spec object.
  • Add a long only constraint such that the weight of an asset is between 0 and 1 to the port_spec object.
  • Add an objective to minimize portfolio standard deviation to the port_spec object.
  • Solve the portfolio optimization problem using optimize_method = "ROI". Assign the results of the optimization to an object named opt.
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