We provide a first comprehensive structuring of the literature applying machine learning to finance. We use a probabilistic topic modeling approach to make sense of this diverse body of research spanning across the disciplines of finance, economics, computer sciences, and decision sciences....

We explore how artificial intelligence (AI) and machine learning solutions are transforming risk management. A non-technical overview is first given of the main AI and machine learning techniques of benefit to risk management. Then an analysis, using current practice and empirical evidence, is...

The last decade has experienced an important expansion of openness on firm environmental practices and an increased level of environmental disclosure. An open question remains, however, on the extent to which firms fully commit to the principle of widespread disclosure of their impact on the...

We employ multifractal detrended fluctuation analysis (MF-DFA) to provide the first look at the efficiency of forex markets during the initial period of ongoing COVID-19 pandemic, which has disrupted the financial markets globally. We use high frequency (5-min interval) data of six major...