I am planning on doing a regression analysis on STATA on the financial performance of private equity funds. On my descriptive statistics, I saw higher levels of kurtosis and skewness. I decreased these by using the winsorization method for outliers. However, I still have high levels, especially on the kurtosis.
Would it be correct to do log transformations on all of the variables (dependent and control) in order to decrease kurtosis, or is this method usually only used for skewness?
If yes, is it okay that I do the log transformation for the variables that have excess kurtosis, even if they have normal ranges of skewness?
I have researched online and have seen that -2 to +2 are the "normal" ranges for kurtosis and skewness...is this correct for both?