A Multi-Head LSTM Architecture for Bankruptcy Prediction with Time Series Accounting Data

A Multi-Head LSTM Architecture for Bankruptcy Prediction with Time Series Accounting Data

With the recent advances in machine learning (ML), several models have been successfully applied to financial and accounting data to predict the likelihood of companies’ bankruptcy. However, time series have received little attention in the literature, with a lack of studies on the application of de...

Full description

Bibliographic Details
Main Authors: Mattia Pellegrino, Gianfranco Lombardo, George Adosoglou, Stefano Cagnoni, Panos M. Pardalos, Agostino Poggi
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Future Internet
Subjects:
bankruptcy prediction
deep learning
multi-head
Recurrent Neural Networks
stock market
Online Access:https://www.mdpi.com/1999-5903/16/3/79

Internet

https://www.mdpi.com/1999-5903/16/3/79

Similar Items