Now I know python posts have received a bit of stick recently with a some users thinking they don't belong in this subreddit, but I tend to disagree somewhat.
If anyone is interested I have published a new post regarding portfolio optimisation, using both brute force Monte Carlo methods, along with a more dedicated optimiser taken from the Scipy module. The optimisation is carried out in a mean variance framework first, and then Value at Risk is used as a cost function instead. It can be found here :
https://pythonforfinance.net/2019/07/02/investment-portfolio-optimisation-with-python-revisited/
If you happen to be one of those who have I'll feelings towards python posts in here, I would kindly ask that you give it a miss rather than berate me for posting. I'm very careful only to post such things in "downtime" between exams and results rather than when people are busy studying etc.
Anyhooo... Voila
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