Using R in a productive asset management environment
Updated: Apr 24, 2019
The goal of this presentation is to describe how we use R in our business in a productive way to advise our clients on how to manage their assets.
This starts with the acquisition of data, the quantitative examination of that data and the design of investment models. As a final step the results are presented to the customer through automated reports (markdown), web interfaces (shiny) or an API.
Generally, these goals can all be achieved as pure R solutions. But sometimes it might be necessary to outsource part of the code into different languages like e.g. C/C++ or Python which will be another topic of this presentation.