Hi, Listers,
I have a series of weekly data but I want to get the monthly
forecasts.
So is it valid if I forecast on a weekly basis and aggregate the weekly
forecasts for the future months’ forecasts?
Or generally speaking, is result of aggregating forecasts on a shorter
interval for getting forecasts on a longer interval valid comparing to
aggregating the original data of shorter intervals first and then forecasting on
that aggregated longer interval?
Is there any literature that I can refer to about this problem?
Thanks!
|
Post aggregation is perfectly okay, but
either method will do. You have to decide on the appropriate aggregation
method - usually sum or average depending on the nature of the data. You
also have to decide on how to aggregate weeks into months, since they do
not fit exactly in either case.
The reverse problem, disaggregating monthly forecasts into weekly forecasts, is harder, but there are methods for that as well. Jon Peck (no "h") aka Kim Senior Software Engineer, IBM [hidden email] phone: 720-342-5621 From: Chichi Shu <[hidden email]> To: [hidden email], Date: 06/20/2014 11:29 AM Subject: [SPSSX-L] Aggregate forecasts of shorter intervals for longer intervals Sent by: "SPSSX(r) Discussion" <[hidden email]> Hi, Listers, I have a series of weekly data but I want to get the monthly forecasts. So is it valid if I forecast on a weekly basis and aggregate the weekly forecasts for the future months’ forecasts? Or generally speaking, is result of aggregating forecasts on a shorter interval for getting forecasts on a longer interval valid comparing to aggregating the original data of shorter intervals first and then forecasting on that aggregated longer interval? Is there any literature that I can refer to about this problem? Thanks! |
Thanks, Jon.
I don’t think there is a problem with this approach in terms of the point
estimator of the weekly forecasts either. But if we look at the upper bound and
lower bound of 95% confidence of a fiscal month (aggregated weekly) forecast,
doesn’t this kind of adding up significantly increase the variance? i. e.
Assuming the forecasting model successfully produces homoscedastic weekly
forecasts, the four week aggregation gives us an 16 times as big as the
individual week’s variance?
From: [hidden email]
Sent: Friday, June 20, 2014 4:29 PM
To: [hidden email]
Cc: [hidden email]
Subject: Re: [SPSSX-L] Aggregate forecasts of shorter intervals for
longer intervals Post aggregation is perfectly okay, but either method
will do. You have to decide on the appropriate aggregation method -
usually sum or average depending on the nature of the data. You also have
to decide on how to aggregate weeks into months, since they do not fit exactly
in either case. The reverse problem, disaggregating monthly forecasts into weekly forecasts, is harder, but there are methods for that as well. Jon Peck (no "h") aka Kim Senior Software Engineer, IBM [hidden email] phone: 720-342-5621 From: Chichi Shu <[hidden email]> To: [hidden email], Date: 06/20/2014 11:29 AM Subject: [SPSSX-L] Aggregate forecasts of shorter intervals for longer intervals Sent by: "SPSSX(r) Discussion" <[hidden email]> Hi, Listers, I have a series of weekly data but I want to get the monthly forecasts. So is it valid if I forecast on a weekly basis and aggregate the weekly forecasts for the future months’ forecasts? Or generally speaking, is result of aggregating forecasts on a shorter interval for getting forecasts on a longer interval valid comparing to aggregating the original data of shorter intervals first and then forecasting on that aggregated longer interval? Is there any literature that I can refer to about this problem? Thanks! |
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