This is probably a naïve question.
Why do many multiple regression analyses of the Fama-French 3 or 4 factor model of fund returns use monthly return data instead of daily return data? I would have thought that having more data from the daily returns would get you more accurate coefficients in the regression models. Why get a more coarse sampling of the data? Am I missing something obvious about this? Thanks.