The calendar effects distort not only the distribution of a financial time series but also its dynamics. Therefore an accurate model should be able to restore the time series at least in mean and variance. We consider 3 kinds of calendar effects: the day-of-the week, the first and the last trading month days, and the holiday effects. In a case that a day falls into 2 or more kinds, the latter holds.