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Neural networks and some applications to finance

Author

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  • K. Feldman
  • J. Kingdon

Abstract

Neural networks are an established class of non-linear modelling technique. This paper offers an introduction and overview to neural nets with particular emphasis on financial applications. We present a brief history of the subject and provide details on two of the more popular models. In addition we survey some of the recent research issues and algorithms used in applying neural nets to real-world problems, and discuss some of the specific finance applications to which they have been applied.

Suggested Citation

  • K. Feldman & J. Kingdon, 1995. "Neural networks and some applications to finance," Applied Mathematical Finance, Taylor & Francis Journals, vol. 2(1), pages 17-42.
    • Handle: RePEc:taf:apmtfi:v:2:y:1995:i:1:p:17-42
    DOI: 10.1080/13504869500000002
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    Cited by:

    1. Carlos Serrano-Cinca, 1997. "Feedforward neural networks in the classification of financial information," The European Journal of Finance, Taylor & Francis Journals, vol. 3(3), pages 183-202.

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