Applications of Artificial Neural Networks in Financial Economics: A Survey
By Yuhong Li, Weihua Ma. 2010
142 citations recorded by the source corpus.
Subfields: Accounting, Electrical and Electronic Engineering, Management Science and Operations Research, Statistical Learning Theory, Economics & Operations Research
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
- Lars Karlsson
- Weiwei Jiang
- A. Ozbayoglu
- Omer Berat Sezer
- Martin Längkvist
- M. Ugur Gudelek
- Amy Loutfi
In Electrical and Electronic Engineering
- Weiwei Jiang
- A. Ozbayoglu
- M. Ugur Gudelek
- Omer Berat Sezer
- Lars Karlsson
- Martin Längkvist
- Amy Loutfi
- Longbing Cao
In Management Science and Operations Research
- Weiwei Jiang
- M. Ugur Gudelek
- Omer Berat Sezer
- A. Ozbayoglu
- Lars Karlsson
- Martin Längkvist
- Amy Loutfi
- Longbing Cao
In Statistical Learning Theory
- Lars Karlsson
- Weiwei Jiang
- A. Ozbayoglu
- Omer Berat Sezer
- Martin Längkvist
- M. Ugur Gudelek
- Amy Loutfi
In Economics & Operations Research
- A. Ozbayoglu
- M. Ugur Gudelek
- Lars Karlsson
- Weiwei Jiang
- Omer Berat Sezer
- Martin Längkvist
- Amy Loutfi
Citations in the corpus
- Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 (2019, methodology): “For the ANN studies, Li and Ma reviewed implementations of ANN for stock price forecasting and some other financial applications [15].”
- Deep Learning for Financial Applications : A Survey (2020, methodology): “[17] reviewed implementations of ANNs for stock price forecasting and some other financial applications.”
- A review of unsupervised feature learning and deep learning for time-series modeling (2014, methodology): “A survey of ANNs applied to stock market prediction is given in [79].”
- Applications of ANNs in Stock Market Prediction : A Survey (2011, unknown): “In future work ANNs can also be explore for other applications and comparative study with other models.”
- Applications of deep learning in stock market prediction: recent progress (2020, background): “Li & Ma (2010) gives a survey on the application of artificial neural networks in forecasting financial market prices, including the forecast of stock prices, option pricing, exchange rates, banking and financial crisis.”