Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/340008| Title: | Short-term forecasting and nowcasting of real GDP using combined forecasts based on MIDAS regression models |
| Authors: | Bazhanova, N. D. Malugin, V. I. |
| Keywords: | ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Экономика и экономические науки ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика |
| Issue Date: | 2025 |
| Publisher: | Minsk : BSU |
| Citation: | Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIV Intern. Conf., Minsk, Sept. 24–27, 2025 / Belarusian State Univ. ; eds.: Yu. Kharin (ed.-in-chief) [et al.]. – Minsk : BSU, 2025. – Pp. 38-42. |
| Abstract: | A model with mixed data sampling MIDAS and combined forecasts based on them has been developed for short-term forecasting and naucasting of the real GDP growth rates of the Belarusian economy. A comparative analysis of the forecast accuracy for the constructed models indicates their effectiveness |
| URI: | https://elib.bsu.by/handle/123456789/340008 |
| ISBN: | 978-985-881-830-2 |
| Licence: | info:eu-repo/semantics/restrictedAccess |
| Appears in Collections: | 2025. Computer Data Analysis and Modeling: Stochastics and Data Science |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.