From fiction to fact: the growing role of generative AI in business and finance
ABSTRACT Generative Artificial Intelligence (AI), such as ChatGPT by OpenAI, has
revolutionized the business world, with benefits including improved accessibility, efficiency …
revolutionized the business world, with benefits including improved accessibility, efficiency …
Bankruptcy prediction using machine learning models with the text-based communicative value of annual reports
We investigate whether including the text-based communicative value of annual report
increases the predictive power of four machine learning models (Logistic regression …
increases the predictive power of four machine learning models (Logistic regression …
Fifty years at the interface between financial modeling and operations research
FJ Fabozzi, MC Recchioni, R Renò - European Journal of Operational …, 2025 - Elsevier
Over the last fifty years, there has been an increasing intersection of methodologies,
applications, and contributions at the frontier of finance and operations research. This invited …
applications, and contributions at the frontier of finance and operations research. This invited …
A deep learning-based approach for distinguishing different stress levels of human brain using EEG and pulse rate
P Mukherjee, A Halder Roy - Computer Methods in Biomechanics …, 2024 - Taylor & Francis
In today's world, people suffer from many fatal maladies, and stress is one of them.
Excessive stress can have deleterious effects on the health, brain, mind, and nervous …
Excessive stress can have deleterious effects on the health, brain, mind, and nervous …
Predicting financial distress using multimodal data: An attentive and regularized deep learning method
The proliferation of multimodal data provides a valuable repository of information for
financial distress prediction. However, the use of multimodal data faces critical challenges …
financial distress prediction. However, the use of multimodal data faces critical challenges …
A three-stage prediction model for firm default risk: An integration of text sentiment analysis
X Ma, T Che, Q Jiang - Omega, 2025 - Elsevier
Predicting firm default risk is vital for financial institutions to avert significant economic
losses, making the enhancement of its prediction precision both imperative and intricate …
losses, making the enhancement of its prediction precision both imperative and intricate …
based recommendation under preference uncertainty: An asymmetric deep learning framework
Y Xiong, Y Liu, Y Qian, Y Jiang, Y Chai… - European Journal of …, 2024 - Elsevier
Online reviews are one of the most trusted resources for inferring customer needs and
understanding consumer decision-making behavior. This study attempts to integrate textual …
understanding consumer decision-making behavior. This study attempts to integrate textual …
Machine learning in bank merger prediction: A text-based approach
This paper investigates the role of textual information in a US bank merger prediction task.
Our intuition behind this approach is that text could reduce bank opacity and allow us to …
Our intuition behind this approach is that text could reduce bank opacity and allow us to …
Multi-Modal Deep Learning for Credit Rating Prediction Using Text and Numerical Data Streams
Knowing which factors are significant in credit rating assignment leads to better decision-
making. However, the focus of the literature thus far has been mostly on structured data, and …
making. However, the focus of the literature thus far has been mostly on structured data, and …
Boosting credit risk models
B Baesens, K Smedts - The British Accounting Review, 2023 - Elsevier
In this article, we give various recommendations to boost the performance of credit risk
models. It is based upon more than two decades of research and consulting on the topic …
models. It is based upon more than two decades of research and consulting on the topic …