> A Thursday 31 July 2008, Matt Knox escrigué: >> While on the topic of FAME... being a financial analyst, I really am >> quite fond of the multitude of quarterly frequencies we have in the >> timeseries package (with different year end points) because they are >> very useful when doing things like "calenderizing" >> earnings from companies with different fiscal year ends.
On Thu, 31 Jul 2008, Francesc Alted apparently wrote: > Well, introducing a quarter should not be difficult. We just wanted to > keep the set of supported time units under a minimum (the list is > already quite large). We thought that the quarter fits better as > a 'derived' time unit, similarly as biweekly, semester or biyearly (to > name just a few examples). However, if quarters are found to be much > more important than other derived time units, they can go into the > proposal too. Quarterly frequency is probably the most analyzed frequency in macroeconometrics. Widely used macroeconometrics packages (e.g., EViews) traditionally support only three explicit frequencies: annual, quarterly, and monthly. Cheers, Alan Isaac _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
