Prediction of Stock Market Price Index using Machine Learning and Global Trade Information

Abstract

Globalization has led to an increasingly integrated global economy, one with less trade barriers and more capital mobility between countries. Consequently, no country is an island of its own. In this paper, it aims to investigate how global trade affects a country's stock market and also determine if such information with the use of machine learning techniques can predict a country's stock market index.