Say that my returns are normally distributed. I have the historical returns data for 3 index funds and nothing else.
I want to compute expected return and standard deviation solely from this data. What are some methods for doing this besides just taking the average return for example? Are there some non-obvious strategies that might enhance the results, or does the normality assumption remove any need for this?