Neural network applications in finance: A review and analysis of literature (1990–1996)
BK Wong, Y Selvi - Information & management, 1998 - Elsevier
The field of neural network technology has been extensively studied in the last decade. This
has led to considerable research on its use in various scientific applications and to the …
has led to considerable research on its use in various scientific applications and to the …
Neural network applications in business: A review and analysis of the literature (1988–1995)
BK Wong, TA Bodnovich, Y Selvi - Decision Support Systems, 1997 - Elsevier
A survey of journal articles on neural network business applications published between
1988 and 1995 indicates that an increasing amount of neural network research is being …
1988 and 1995 indicates that an increasing amount of neural network research is being …
A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems
A Bahrammirzaee - Neural Computing and Applications, 2010 - Springer
Nowadays, many current real financial applications have nonlinear and uncertain behaviors
which change across the time. Therefore, the need to solve highly nonlinear, time variant …
which change across the time. Therefore, the need to solve highly nonlinear, time variant …
Credit rating analysis with support vector machines and neural networks: a market comparative study
Corporate credit rating analysis has attracted lots of research interests in the literature.
Recent studies have shown that Artificial Intelligence (AI) methods achieved better …
Recent studies have shown that Artificial Intelligence (AI) methods achieved better …
A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees
P Golbayani, I Florescu, R Chatterjee - The North American Journal of …, 2020 - Elsevier
Credit ratings are one of the primary keys that reflect the level of riskiness and reliability of
corporations to meet their financial obligations. Rating agencies tend to take extended …
corporations to meet their financial obligations. Rating agencies tend to take extended …
Credit rating prediction through supply chains: A machine learning approach
As supply chain channels physical, financial, and information flows as well as associated
risks, a firm's supply chain information should be helpful in understanding and predicting its …
risks, a firm's supply chain information should be helpful in understanding and predicting its …
A corporate credit rating model using multi-class support vector machines with an ordinal pairwise partitioning approach
Predicting corporate credit-rating using statistical and artificial intelligence (AI) techniques
has received considerable research attention in the literature. In recent years, multi-class …
has received considerable research attention in the literature. In recent years, multi-class …
The impact of bank regulations, supervision, market structure, and bank characteristics on individual bank ratings: A cross-country analysis
We use country level data and bank level data from 71 countries and 857 banks to
investigate the impact of bank regulations, supervision, market structure, and bank …
investigate the impact of bank regulations, supervision, market structure, and bank …
Enhancing accuracy and interpretability of ensemble strategies in credit risk assessment. A correlated-adjusted decision forest proposal
R Florez-Lopez, JM Ramon-Jeronimo - Expert Systems with Applications, 2015 - Elsevier
Credit risk assessment is a critical topic for finance activity and bankruptcy prediction that
has been broadly explored using statistical models and Machine Learning methods …
has been broadly explored using statistical models and Machine Learning methods …
Machine learning techniques and use of event information for stock market prediction: A survey and evaluation
This paper surveys machine learning techniques for stock market prediction. The prediction
of stock markets is regarded as a challenging task of financial time series prediction. In this …
of stock markets is regarded as a challenging task of financial time series prediction. In this …