I just love to create portfolio optimization models based on Optimization theory and such models require a well-defined return scenario set which is nothing more than a matrix where we have a joint possible set of returns of all our assets under consideration. The easiest way is to use historical ... [Read more...]

Introduction Besides Deep Learning (in the realm of Data Science and AI) there is another scientific and applied area where people always seem to prefer Python over R and this is: Optimization (in the realm of Decision Science). Luckily there are two very good optimization modeling frameworks for R available, ... [Read more...]