The methodology of Bai and Ng (2002, 2003) for decomposing large panel data into systematic and idiosyncratic components is applied to both returns and turnover. Combining this with a GLS-based principal components approach, we demonstrate that their procedure works well for both returns and turnover despite the presence of severe heteroscedasticity and non-stationarity in turnover of individual stocks. (...)