Hi,
i am having a data sets where i am calculating a price per Quarter by dividing Revenues per Assets. I am having quite a lot of outliers that are making my results wrong.
I am looking for best way to calculate apprioprate price to replace outliers (e.g. 200) and predict price for next quarters (e.g. Q1 2022).
Any suggestions?