Previously, we have covered why and how to create a correlation matrix of ETFs available in Hong Kong market using Python. Now we should do some actual correlation analyses on these securities, with the matrix just created. There are two kinds of analyses I am going to demonstrate, which are actually quite similar: one is to find out the n most uncorrelated ETFs in the whole market; the other one is to find out n most uncorrelated ETFs corresponding to a given specific ticker.
Several months ago I finished reading the book The Intelligent Asset Allocator by William Bernstein. It is a really nice book if you want to have a solid idea and examples on portfolio theory, as well as guidance for building your own investment portfolio by allocating your asset into different classes. One of the main points of building effective portfolio is building with uncorrelated, or less correlated in reality, assets.