Neural network applications in finance: A review and analysis of literature (1990-1996)
By Bo K. Wong, Yakup Selvi. 1998
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- A. Ozbayoglu
- M. Ugur Gudelek
- Omer Berat Sezer
- Bilal Elmsili
- Melike Bildirici
- Benaceur Outtaj
- Michal Tkác
- Robert Verner
Citations in the corpus
- Deep Learning for Financial Applications : A Survey (2020, background): “[16] covered early implementations of ANNs in finance.”
- Artificial neural networks applications in economics and management research: An exploratory literature review (2018, background): “Wong, Bodnovich, and Selvi [10] reviewed 203 research papers that had been published between 1988 and 1995.”
- Using neural network ensembles for bankruptcy prediction and credit scoring (2008, unknown): “…learning techniques are superior to that of traditional (statistical) methods in dealing with bankruptcy prediction and credit scoring problems, especially in nonlinear pattern classification (Huang et al., 2004; Ong, Huang, & Tzeng, 2005; Vellido, Lisboa, & Vaughan, 1999; Wong & Selvi, 1998).”
- Financial credit risk assessment: a recent review (2015, methodology): “…methods Dimitras et al. (1996) 1997 Statistical methods Hand and Henley (1997) 1997 Neural networks Wong et al. (1997) 1998 Neural networks Wong and Selvi (1998) 1999 Neural networks Vellido et al. (1999) 2000 Statistical and operational methods Thomas (2000) 2002 Neural networks Calderon…”
- Soft computing techniques applied to finance (2008, unknown): “or Wong and Selvi [44].”
- Artificial neural networks in business: Two decades of research (2016, background): “References [37, 70, 80, 331, 350, 388, 407-409] provided surveys of the neural network business applications, including accounting, finance, production, or economic research.”
- TAR-cointegration neural network model: An empirical analysis of exchange rates and stock returns (2010, background): “Krishnaswamy, Gilbert, and Pashley (2000), Kryzanowski, Galler, and Wright (1993), Refenes, Zapranis, and Francis (1995), uses NN as tools for finance and stock prediction, proving that NN models outperform linear regression models.”