that the innocent forecaster must look out for, if he/she is to construct a successful forecasting model using the … regression analysis approach. Proposes that models for sales forecasting may be divided into two categories – naïve and … econometric, but that these approaches to forecasting are not always independent. Posits that development of a forecasting model …

Purpose – Several research papers related to electricity price forecasting have been reported in the leading journals …. Design/methodology/approach – The present article provides an overview of the statistical short‐term price forecasting (STPF … analyzed. Findings – It has been observed that price forecasting accuracy of the reported models in day‐ahead markets is better …

forecasting. In recent years its scope has expanded well beyond technical aspects. Addresses a broader set of managerial concerns … through down‐to‐earth descriptions of forecasting, its advantages and limitations, and its role in the managerial decision …‐making process. Uses a case study to demonstrate the application of a forecasting method.  …

Modeling and forecasting of the primary energy consumption (PEC) play a vital role for policy makers and related … are used for forecasting Turkey׳s PEC in the years 2010–2025. For each scenario, various assumptions are made considering … show that the proposed model can be affectively used for forecasting of Turkey׳s PEC. The scenarios also show that the …

This paper revisits inflation forecasting using reduced-form Phillips curve forecasts, that is, inflation forecasts … evidence of autonomous variance breaks and inflation gap persistence. Through a real-time out-of-sample forecasting exercise … quarterly inflation relative to an extended range of forecasting models that are typically used in the literature. …

partial least squares (PLS) regression to extract dynamic factors from the data set. Our forecasting analysis considers ten …

place greater weight on future fundamentals. Consequently, current fundamentals have very weak forecasting power and … econometrician, long-horizon regressions generally do not have significant forecasting power. However, when EW's assumptions are … show that long-horizon regression can have substantial forecasting power for exchange rates. …