La crisis económica reciente ha alterado la dinámica de las series económicas y, como consecuencia, ha introducido incertidumbre en el ajuste estacional en estos últimos años. El problema se discutió en seminarios celebrados en Eurostat y en el Banco Central Europeo durante el año 2010,...

Time series resulting from aggregation of several sub-series can be seasonally adjusted directly or indirectly. With model-based seasonal adjustment, the sub-series may also be considered as a multivariate system of series and the analysis may be done jointly. This approach has considerable...

We examine the short-term performance of two alternative approaches to forecasting using dynamic factor models. The fi rst approach extracts the seasonal component of the individual indicators before estimating the dynamic factor model, while the alternative uses the nonseasonally adjusted data...

In late summer 1996, in response to relatively low inventory levels and tight world oil markets, prices for crude oil, natural gas, and products derived from both began to increase rapidly ahead of the winter heating season. Various government and private sector forecasts indicated the potential...

The springs of 1996 and 1997 provide an excellent example of contrasting gasoline market dynamics. In spring 1996, tightening crude oil markets pushed up gasoline prices sharply, adding to the normal seasonal gasoline price increases; however, in spring 1997, crude oil markets loosened and crude...

The Atmospheric Release Advisory Capability (ARAC) at the Lawrence Livermore National Laboratory uses the U.S. Navy's Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS) to supply high-resolution wind data for use in its real-time dispersion modeling system. ARAC has used COAMPS...

Current practice uses statistical tests to determine whether seasonal factors should be applied in a given forecasting situation. Research suggests that an optimal policy might lie somewhere between using full seasonal factors and using no seasonal factors on series. This research proposes and...

This paper presents a methodology for forecasting seasonal streamflow and is an extension of a previously developed categorical streamflow forecast model that used persistence (i.e., the previous season’s streamflow) and El Niño-Southern Oscillation (ENSO) indicators. This newly developed...

The Dutch regulatory process for setting the first X-Factors in the electricity distribution sector has gone badly wrong. During two-and-a-half years four different X-Factors were published by the regulator. These X-Factors fluctuated wildly. We demonstrate that Dutch electricity consumers will...

Purpose: This paper aims to provide new evidence regarding the firm performance implications of using temporal orientation (time pacing) and information technology (IT) to align an organization with its task environment. Design/methodology/approach: Using questionnaire data provided by top...