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Borrelli, Andrea; Materia, Stefano; Bellucci, Alessio; … - 2014

This document describes the structure of the CMCC Seasonal Prediction System (hereafter CMCC-SPS) developed at CMCC, the various initialization methods and the experiments performed with the most recent version. The CMCC-SPS has been used to perform the CliPAS (Climate Prediction and its...

Persistent link: https://www.econbiz.de/10014155298

Seasonality and analyst forecasting

Ayres, Douglas; Dolvin, Steven D. - In: Quarterly journal of finance & accounting : QJFA 60 (2022) 1/2, pp. 1-28

Persistent link: https://www.econbiz.de/10013433387

Earnings Seasonality, Management Earnings Forecasts, and Stock Returns in China

Jiang, Danling; Song, Pan; Zhu, Hongquan - 2022

Previous research finds that, owing to the representativeness heuristic bias, earnings seasonal rank negatively predicts stock returns surrounding earnings announcements (EAs) in China’s A-share markets. We examine whether management earnings forecasts (MEFs) help alleviate the stock return...

Persistent link: https://www.econbiz.de/10013405828

Electricity consumption and production forecasting considering seasonal patterns : an investigation based on a novel seasonal discrete grey model

Zhou, Weijie; Tao, Huihui; Ding, Song; Li, Yao - In: Journal of the Operational Research Society 74 (2023) 5, pp. 1346-1361

Persistent link: https://www.econbiz.de/10014334986

Impact of Seasonal Level Shift (SLS) on time series forecasting

Shahid, Hayat; Urooj, Amena; Asghar, Zahid - In: Romanian journal of economic forecasting 26 (2023) 1, pp. 107-128

Persistent link: https://www.econbiz.de/10014279614

Earnings seasonality, management earnings forecasts and stock returns

Jiang, Danling; Song, Pan; Zhu, Hongquan - In: China journal of accounting research : CJAR 16 (2023) 2, pp. 1-18

We examine whether management earnings forecasts (MEFs) help reduce the stock return seasonality associated with earnings seasonality around earnings announcements (EAs) in Chinese A-share markets. We find that firms in historically low earnings seasons outperform firms in high earnings seasons...

Persistent link: https://www.econbiz.de/10014281517

Hybridising neurofuzzy model the seasonal autoregressive models for electricity price forecasting on Germany's spot market

Paraschiv, Dorel Mihai; Bălășoiu, Narciz; Ben Amor, … - In: Amfiteatru economic : an economic and business research … 25 (2023) 63, pp. 463-478

Electricity price forecasting has become an area of increasing relevance in recent years. Despite the growing interest in predictive algorithms, the challenges are difficult to overcome given the restricted access to relevant data series and the lack of accurate metrics. Multiple models have...

Persistent link: https://www.econbiz.de/10014464238

Earnings Seasonality, Management Earnings Forecasts and Stock Returns

Jiang, Danling; Song, Pan; Zhu, Hongquan - 2023

Previous research finds that historical seasonal earnings rank negatively predicts stock returns surrounding earnings announcements (EAs) in China’s A-share markets. We examine whether management earnings forecasts (MEFs) help reduce the stock return seasonality associated with earnings...

Persistent link: https://www.econbiz.de/10014255146

Seasonal Dynamics of Main COVID-19 Indicators in the Year 2020 and 2021

Coccia, Mario - 2023

This study develops a comparative analysis of the trends of main indicators of Coronavirus disease 2019 in 2020 and 2021in Italy. The findings suggest that the temporal dynamics of COVID-19 is affected by seasonality generating a reduction of effects in summer season similar to influenza....

Persistent link: https://www.econbiz.de/10014259763

Seasonal Climate Models for National Wheat Yield Forecasts in Brazil

Zachow, Maximilian; Nóia Júnior, Rogério; Asseng, … - 2023

be provided by wheat yield forecast systems, supporting the decision-making of farmers, food traders, or policymakers. In … this study, we improved a previously developed statistical wheat yield model to forecast trend-corrected wheat yield in …, NCEP, and CLIMATE respectively. Seasonal climate models can be useful tools to forecast national wheat yield, even shortly …

Persistent link: https://www.econbiz.de/10014261460