We report an empirical study of a predictive analysis model for equities; the model uses high frequency (minute-bar) market data and quantified news sentiment data. The purpose of the study is to identify a predictive model which can be used in designing automated trading strategies. Given that...

The explosive development of electronic media has brought to the market participants thousands of pieces of financial news which are released on different platforms every day. Many news wires published online are editorially controlled and can be relied as factual summary as opposed to fake news...

In this study, we introduce a new method of assessing the credit risk of corporate bonds; where in addition to the historical market data news sentiment data is used. Typically, a higher yield spread is usually associated with higher credit risk. By predicting the upward/downward movement of...