EventsThe 1st International Online Conference on Risk and Financial Management
Event submissions
Published
This submission belongs to the session S1. Machine Learning in Economics and Finance of the event The 1st International Online Conference on Risk and Financial Management
Published date
13 Jun, 2025
Academic Editor
author-avatarThanasis Stengos
Citation
Mogari Ishmael Rapoo, Martin Chanza, Andrew Bokang Ncube, An empirical-mode-decomposition-based support vector regression hybrid model: a combined model for foreign direct investment forecasting, in Proceedings of The 1st International Online Conference on Risk and Financial Management, 17 June–18 June 2025, MDPI: Basel, Switzerland
Share
Email
FaceBook
Twitter
Linkedin

An empirical-mode-decomposition-based support vector regression hybrid model: a combined model for foreign direct investment forecasting

Mogari Ishmael Rapoo 1
Martin Chanza 2
Andrew Bokang Ncube 3
1. Department of Accounting Sciences, Cape Peninsula University of Technology, Cape Town, 8001, South Africa, +27
2. Department of Business Statistics and Operations Research, North West University, Mafikeng, 2745, South Africa, +27
3. Department of Mathematical Sciences and Computing, Walter Sisulu University, Mthatha, 5100, South Africa, +27
Abstract
Keywords
Machine learning
hybrid models
foreign direct investment
error measuremnts
forecasting