Enhancing Financial Market Analysis and Prediction with Emotion Corpora and News Co-Occurrence Network

Abstract

Financial risk management is best defined as a process to deal with uncertainties resulting from financial markets. Karen Horcher defines financial risk management as the process of identifying, assessing, and controlling financial risks that may impact an organization’s ability to achieve its financial objectives. This includes identifying risks related to credit, market, liquidity, operational, and other areas, and developing strategies and techniques to mitigate those risks. (Horcher, 2011). Emotional analysis of financial news can provide insight into market sentiment and enable investors to gain a better understanding on how the market is likely to react. By analyzing the emotional content of news articles, organizations can gain insights into potential risks and opportunities and develop strategies to mitigate or capitalize on them.

Shawn McCarthy

Graduate Instructor

Shawn McCarthy is a distinguished AI Committee Member and Vice President of Global Architecture, Big Data, and Information Risk at Manulife. He is currently pursuing a PhD, focusing on the impact of global events on market sentiment, and is developing an extensive model for market prediction and risk management. Additionally, as a Graduate Instructor at the University of Colorado, he fosters innovation and growth in future leaders. His work consistently echoes his professional motto Inspire Growth.