AI in finance refers to the applications of AI techniques in financial businesses. This area has
attracted attention for decades, with both classic and modern AI techniques applied to …

The success of artificial intelligence (AI), and deep learning models in particular, has led to
their widespread adoption across various industries due to their ability to process huge …

The application of natural language processing (NLP) to financial fields is advancing with an
increase in the number of available financial documents. Transformer-based models such …

Real-time market prediction tool tracking public opinion in specialized newsgroups and
informative market data persuades investors of financial markets. Previous works mainly …

News dissemination in social media causes fluctuations in financial markets.(Scope) Recent
advanced methods in deep learning-based natural language processing have shown …

Investors' trading behavior is influenced by a multimode of information sources such as
technical analysis, news dissemination, and sentiment, which results in the non-stationary …

We address a challenging problem—modeling high-dimensional, long-range dependencies
between nonnormal multivariates, which is important for demanding applications such as …

This paper proposes and analyzes a methodology of forecasting movements of the analysts'
net income estimates and those of stock prices. We achieve this by applying natural …

Nowadays, deep neural networks are being used in many domains because of their high
accuracy results. However, they are considered as “black box” means that they are not …

In this paper, we propose a novel framework for analyzing inter-industry relations using the
contact histories of local banks. Contact histories are data recorded when employees …