Classifying News Articles with Factors for Foreign Exchange Forecast

Abstract

The purpose of this study is to support reviewing on their own decision for foreign exchange trends. Foreign exchange trends can be predicted from economic and political events. This is a decision based on experience, and it enables improvement of accuracy by verifying the validity of own analysis. However, as the factors of foreign exchange fluctuations are diverse, it is difficult to verify the adequacy of foreign exchange trends.To solve this problem, this paper proposes a method to classify news articles based on investor analysis factor in order to grasp the relevance of news articles and foreign exchange trends.