For simulating stock prices, Geometric Brownian Motion (GBM) is the de-facto go-to model. It has some nice properties which are generally consistent with stock prices, such as being log-normally distributed (and hence bounded to the downside by zero), and that expected returns don’t depend on the magnitude of price. Of course, GBM is just a …
This is Part 2 in our Practical Statistics for Algo Traders blog series—don’t forget to check out Part 1 if you haven’t already. Even if you’ve never heard of it, the Law of Large Numbers is something that you understand intuitively, and probably employ in one form or another on an almost daily basis. But …
This is the first in a two-part series. Be sure to read part 2 – Practical Statistics for Algo Traders: The Law of Large Numbers How do you feel when you see the word “statistics”? Maybe you feel that it’s something you should be really good at but aren’t. Maybe the word gives you a …
