Big data technology has had a significant impact on new business and financial services: for
example, GPS and Bluetooth inspire location-based services, and search and web …

In the area of natural language processing, various financial datasets have informed recent
research and analysis including financial news, financial reports, social media, and audio …

Quantitative trading and investment decision making are intricate financial tasks that rely on
accurate stock selection. Despite advances in deep learning that have made significant …

In the financial domain, risk modeling and profit generation heavily rely on the sophisticated
and intricate stock movement prediction task. Stock forecasting is complex, given the …

The volatility forecasting task refers to predicting the amount of variability in the price of a
financial asset over a certain period. It is an important mechanism for evaluating the risk …

Unstructured multimedia data (text and audio) provides unprecedented opportunities to
derive actionable decision-making in the financial industry, in areas such as portfolio and …

Stock movement prediction, a widely addressed research avenue in the world of computer
science and finance, it finds fundamental applications in quantitative trading and investment …

Stock price movement and volatility prediction aim to predict stocks' future trends to help
investors make sound investment decisions and model financial risk. Companies' earnings …

Stock trend forecasting, aiming at predicting the stock future trends, is crucial for investors to
seek maximized profits from the stock market. Many event-driven methods utilized the events …

Stock price movement prediction is commonly accepted as a very challenging task due to
the volatile nature of financial markets. Previous works typically predict the stock price …