The effects of geopolitical uncertainty in forecasting financial markets: a machine learning approach

DOI10.3390/A12010001zbMath1461.91370OpenAlexW2905599597WikidataQ128777009 ScholiaQ128777009MaRDI QIDQ2633264

Periklis Gogas, Vasilios Plakandaras, Theophilos Papadimitriou

Publication date: 8 May 2019

Published in: Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/a12010001

zbMATH Keywords

machine learningsupport vector regressiongeopolitical uncertainty

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Financial applications of other theories (91G80)

Related Items (1)

Special issue on algorithms in computational finance

Cites Work

• Support-vector networks
• Political instability and economic growth

This page was built for publication: The effects of geopolitical uncertainty in forecasting financial markets: a machine learning approach