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Natural Computing in Finance – A Review

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Handbook of Natural Computing

Abstract

The field of natural computing (NC) has advanced rapidly over the past decade. One significant offshoot of this progress has been the application of NC methods in finance. This chapter provides an introduction to a wide range of financial problems to which NC methods have been usefully applied. The chapter also identifies open issues and suggests future directions for the application of NC methods in finance.

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Acknowledgments

This chapter has emanated from research conducted with the financial support of Science Foundation Ireland under Grant Number 08/SRC/FM1389.

Author information

Authors and Affiliations

  1. Natural Computing Research and Applications Group, University College Dublin, Dublin, Ireland

    Anthony Brabazon

  2. Natural Computing Research and Applications Group, University College Dublin, Dublin, Ireland

    Jing Dang

  3. Pipeline Financial Group, Inc., New York, NY, USA

    Ian Dempsey

  4. Natural Computing Research and Applications Group, University College Dublin, Dublin, Ireland

    Michael O'Neill

  5. School of Business, UCD Michael Smurfit Graduate Business School, Dublin, Ireland

    David Edelman

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  1. Anthony Brabazon
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  2. Jing Dang
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  3. Ian Dempsey
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  4. Michael O'Neill
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  5. David Edelman
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Editors and Affiliations

  1. LIACS, Leiden University, Leiden, The Netherlands

    Grzegorz Rozenberg

  2. Computer Science Department, University of Colorado, Boulder, USA

    Grzegorz Rozenberg

  3. LIACS, Leiden University, Leiden, The Netherlands

    Thomas Bäck

  4. LIACS, Leiden University, Leiden, The Netherlands

    Joost N. Kok

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Brabazon, A., Dang, J., Dempsey, I., O'Neill, M., Edelman, D. (2012). Natural Computing in Finance – A Review. In: Rozenberg, G., Bäck, T., Kok, J.N. (eds) Handbook of Natural Computing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92910-9_51

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