A Multi-country Machine Learning Analysis of Global Equity Markets

Author(s)	Karthikeyan V, Dr. Rengarajan V, Sri Abirami K
Country	India
Abstract	In this research, a machine learning model has been developed to predict the daily trend of seven major stock markets in the world, including the USA, India, UK, Germany, Japan, China, and Canada, for the years between 2015 to 2025. The five machine learning classifiers, which include logistic regression, ridge, SVM, XGBoost, and LightGBM, have been compared before and during the period of the coronavirus pandemic. Logistic regression has provided better generalization accuracy.
Keywords	Stock Market Prediction, Machine Learning, COVID-19, Technical Indicators, XGBoost, LightGBM, Random Forest, Global Markets, Feature Engineering, Classification
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-05-22
DOI	https://doi.org/10.36948/ijfmr.2026.v08i03.79282

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