Search Results

Forecasting population in an uncertain world : approaches, new uses, and troubling limitations

Lee, Ronald Demos - In: Population and development review 51 (2025) 1, pp. 491-518

Persistent link: https://www.econbiz.de/10015394772

Forecasting presidential elections : accuracy of ANES voter intentions

Ko, Hyein; Jackson, Natalie; Osborn, Tracy; Lewis-Beck, … - In: International journal of forecasting 41 (2025) 1, pp. 66-75

Persistent link: https://www.econbiz.de/10015440239

Forecasting product sales using text mining : a case study in new energy vehicle

Ding, Yi; Wu, Peng; Zhao, Jie; Zhou, Ligang - In: Electronic commerce research 25 (2025) 1, pp. 495-527

Persistent link: https://www.econbiz.de/10015594913

Forecasting quarterly gdp growth rates using machine learning methods

Jönsson, Kristian - 2025

Persistent link: https://www.econbiz.de/10015579722

Forecasting realised volatility using regime-switching models

Ding, Yi; Kambouroudis, Dimos; McMillan, David G. - In: International review of economics & finance : IREF 101 (2025), pp. 1-19

Persistent link: https://www.econbiz.de/10015459389

Forecasting realized betas using predictors indicating structural breaks and asymmetric risk effects

Luo, Jiawen; Chen, Zhenbiao; Cheng, Mingmian - In: Journal of empirical finance 80 (2025), pp. 1-24

Persistent link: https://www.econbiz.de/10015329724

Forecasting realized volatility : the choice of window size

Feng, Yuqing; Zhang, Yaojie - In: Journal of forecasting 44 (2025) 2, pp. 692-705

Persistent link: https://www.econbiz.de/10015374077

Forecasting realized volatility with spillover effects : perspectives from graph neural networks

Zhang, Chao; Pu, Xingyue; Cucuringu, Mihai; Dong, Xiaowen - In: International journal of forecasting 41 (2025) 1, pp. 377-397

Persistent link: https://www.econbiz.de/10015440330

Forecasting Recessions in Germany with Feature Selection and Machine Learning

Rademacher, Philip - In: Journal of Business Cycle Research 21 (2025) 2-3, pp. 119-157

This study evaluates whether feature selection improves machine learning forecasts of German business cycles. Using a high-dimensional dataset with 73 indicators, primarily from the OECD Main Economic Indicator Database, covering a period from 1973 to 2023, Sequential Floating Forward Selection...

Persistent link: https://www.econbiz.de/10015568907

Forecasting reserve risk for temporal dependent losses in insurance

Araichi, Sawssen; Peretti, Christian de; Belkacem, Lotfi - In: International journal of finance & economics : IJFE 30 (2025) 3, pp. 2254-2269

Persistent link: https://www.econbiz.de/10015482463