BANKRUPTCY RISK FORECASTUSING DEEP LEARNING

BANKRUPTCY RISK FORECASTUSING DEEP LEARNING

Dr .Satyanarayana, B.Arun reddy, B.kaushik, B .Abhinav reddy, B.Achyuth reddy

Malla Reddy University , Hyderabad

Abstract: Bankruptcy risk forecasting has long been a significant issue in finance and management science, which attracts the attention of researchers and practitioners. With the great development of modern information technology, it has evolved into using machine learning or deep learning algorithms to do the prediction, from the initial analysis of financial statements in the balance sheet data. This study introduces deep learning models for bankruptcy forecasting using company balance sheet. Although data are common, it is rarely considered in the financial decision support models. Deep learning has emerged and gradually developed into a powerful technique for a wide range of applications. We have used the deep learning models in bankruptcy prediction, including the classical deep learning methods such as Recurrent Neural Network (RNN) and Convolutional Neural Network (CNN)