Thus, the more complex the method, the more factors need to be estimated, and the higher the amount of error due to variance. 1/N will always give the same stable recommendation, meaning that it doesn’t use any investment data from the past. For that reason, it doesn’t suffer from any variance. If the amount of data is very large, such as for five hundred years, the instability is reduced so much that complexity finally pays.
