Artificial intelligence (AI) is receiving increasing attention in business and society. In
banking, the first applications of AI were successful; however, AI is mainly applied in …

The growing application of bibliometric reviews in Finance, as well as the ongoing
consolidation processes across firms and countries, motivated this study on mergers and …

This research proves the consistency of Agency Theory as a solution to explain the role of
the influence of profitability, board size, woman on board, which is divided into two, namely …

The prediction of firm financial distress during the COVID-19 crisis episode attracted
massive academic attention since economic uncertainty was exacerbated. In this paper, we …

We release EDGAR-CORPUS, a novel corpus comprising annual reports from all the
publicly traded companies in the US spanning a period of more than 25 years. To the best of …

This study aims to obtain empirical evidence of the effect of Board Size, Woman on Boards
on Financial Distress, as well as the Role of Political Connections in Moderating Board Size …

This research explores the impact of individual investor sentiment derived from social
networks on stock market returns. Using keyword-based techniques, we collect and analyze …

In this study, we employ Natural Language Processing (NLP), a subdomain of artificial
intelligence (AI), to predict the sentiments while analyzing 3729 annual 10-k financial reports …

Every real-world scenario is now digitally replicated in order to reduce paperwork and
human labor costs. Machine Learning (ML) models are also being used to make predictions …

We employ a neural network approach to predict banks' future performance with the help of
textual information and financial data. Neural network models are considered black boxes …