I have a data frame of size 1379 x 843 such that the rows are the daily prices, and the columns are the securities.
I want to calculate returns and subset these returns based on a drop in 30% in a day, but I am having trouble dealing with the large number of NA values.
How do most of you go about dealing with NA values, especially given the case which I have described?
Never mind, I figured it out. Just using the functions contained in performance analytics worked. I didn't check the output carefully enough.