Financial threats are displaying a trend about the credit risk of commercial banks as the
incredible improvement in the financial industry has arisen. In this way, one of the biggest …

We examine whether corporate bankruptcy predictions can be improved by utilizing the
recurrent neural network (RNN) and long short-term memory (LSTM) algorithms, which can …

With the rapid growth of consumer credit and the huge amount of financial data developing
effective credit scoring models is very crucial. Researchers have developed complex credit …

The main aim of this paper is to help bank management in scoring credit card clients using
machine learning by modelling and predicting the consumer behaviour concerning three …

Purpose The concept of “buy now pay later” leads Malaysian Generation Y (Gen Y) to
excessively use their credit cards for spending. To gauge the extent of this worrisome …

This study examines the effect of option incentives on corporate innovation in a
representative emerging and transitioning economy. Using data from China, we show that …

This study, grounded in survey data collected from farmers in three northeastern provinces
of China-specifically Heilongjiang, Jilin, and Liaoning in 2019-investigates the relationships …

Previous studies have failed to analyze a bank's operation performance and non‐performing
loans at the same time. Therefore, this research uses the Dynamic Two‐stage directional …

The study conducts a comprehensive contemporary literature review taking the existing
works between 2016 to 2022 to investigate the utilization of Big Data analytics in the …

Purpose Under the background of low consumer financial knowledge and accumulated
credit card liabilities, this study investigates the relationship between financial knowledge …