There has been significant interest in integrating sentiment analysis with graph neural networks (GNNs) for stock prediction tasks. This article thoroughly reviews the application of GNNs in conjunction with sentiment analysis for stock prediction. This study introduces the fundamental concepts...

This study explores risk-reward patterns in the US stock market and establishes optimal factor-based investing using the Fama-French five-factor model through market cycles constructed by Shiller's interest rates and Baker-Wurgler's sentiments. Our emerging evidence confirms that the...