Neural networks and financial forecasting

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Author(s)
Mostafa, F
Dillon, T
Chang, E
Griffith University Author(s)
Chang, Elizabeth
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Date
2017
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Abstract

In the 1960s, neural networks were one of the most promising and active areas of research. Neural networks were applied to a variety of problems in the hope of achieving major breakthroughs by discovering relationships within the data.

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Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk

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1st

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697

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10.1007/978-3-319-51668-4_4
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Subject

Control engineering, mechatronics and robotics

Artificial intelligence

Machine learning

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http://hdl.handle.net/10072/423824
Citation

Mostafa, F; Dillon, T; Chang, E, Neural networks and financial forecasting, Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk, 2017, 697, pp. 51-80

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