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Serge Hayward

Personal Details

First Name:Serge
Middle Name:
Last Name:Hayward
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RePEc Short-ID:pha192
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Affiliation

(in no particular order)

Burgundy School of Business

Dijon, France
https://www.bsb-education.com/
RePEc:edi:escdjfr (more details at EDIRC)

Skolkovo School of Management

Moscow, Russia
http://www.skolkovo.ru/
RePEc:edi:skolkru (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Serge Hayward, 2006. "Genetically Optimised Artificial Neural Network for Financial Time Series Data Mining," Computing in Economics and Finance 2006 417, Society for Computational Economics.
  2. Serge Hayward, 2005. "Multiscale Representation of Agents Heterogeneous Beliefs in Analysis of CAC40 Prices with Frequency Decomposition," Computing in Economics and Finance 2005 285, Society for Computational Economics.
  3. Serge Hayward, 2004. "Heterogeneous Agents Past and Forward Time Horizons in Setting Up a Computational Model," Computing in Economics and Finance 2004 241, Society for Computational Economics.

Articles

  1. Serge Hayward, 2011. "Predicting Prices Of Financial Assets: From Classical Economics To Intelligent Finance," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 229-247.
  2. Heping Pan & Serge Hayward, 2011. "Preface," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 187-196.
  3. Serge Hayward, 2005. "The Role of Heterogeneous Agents’ Past and Forward Time Horizons in Formulating Computational Models," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 25-40, February.

Chapters

  1. Serge Hayward, 2006. "Quantitative Forecasting and Modeling Stock Price Fluctuations," Springer Books, in: Hideki Takayasu (ed.), Practical Fruits of Econophysics, pages 99-106, Springer.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Serge Hayward, 2006. "Genetically Optimised Artificial Neural Network for Financial Time Series Data Mining," Computing in Economics and Finance 2006 417, Society for Computational Economics.

    Cited by:

    1. Monira Essa Aloud, 2020. "The role of attribute selection in Deep ANNs learning framework for high‐frequency financial trading," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(2), pages 43-54, April.

Articles

  1. Serge Hayward, 2011. "Predicting Prices Of Financial Assets: From Classical Economics To Intelligent Finance," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 229-247.

    Cited by:

    1. Gerunov, Anton, 2014. "Критичен Преглед На Основните Подходи За Моделиране На Икономическите Очаквания [A Critical Review of Major Approaches for Modeling Economic Expectations]," MPRA Paper 68797, University Library of Munich, Germany.
    2. Concetta Sorropago, 2014. "Behavioral Finance and Agent Based Model: the new evolving discipline of quantitative behavioral finance ?," DIAG Technical Reports 2014-13, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".

Chapters

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More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CMP: Computational Economics (1) 2004-08-16

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