We present a unified and up-to-date overview of temporal aggregation techniques for univariate and multivariate time series models explaining in detail, although intuitively, the technical machinery behind the results. Some empirical applications illustrate the main issues

This paper presents and evaluates a new approach, temporal aggregation of models, to forecast annual budget deficits using montly information. Using French monthly data on central government revenues and expenditures, the method we propose consists of: 1) estimating monthly ARIMA models for all...

We present a unified and up-to-date overview of temporal aggregation techniques for univariate and multivariate time series models explaining in detail how these techniques are employed. Some empirical applications illustrate the main issues