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Financial Time Series Processing: A Roadmap of Online and Offline Methods

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Book cover Business Intelligence and Performance Management

Part of the book series: Advanced Information and Knowledge Processing ((AI&KP))

Abstract

Because financial information is a vital asset for financial and economic organizations, it requires careful management so that those organizations can enhance and facilitate the decision making process. The financial information is usually gathered over time providing a temporal and historical trace of the financial evolution in the form of time series. The organizations can then rely on such histories to understand, uncover, learn and most importantly make appropriate decisions. The present chapter tries to overview the analysis steps of financial time series and the approaches applied therein. Particular focus is given to the classification of such approaches in terms of the processing mode (i.e., online vs. offline).

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Author information

Authors and Affiliations

  1. Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria

    Daniela Pohl

  2. Bournemouth University, Bournemouth, UK

    Abdelhamid Bouchachia

Authors
  1. Daniela Pohl
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  2. Abdelhamid Bouchachia
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Correspondence to Abdelhamid Bouchachia .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Georg Simon Ohm Univ. of Applied Science, Philipp-Kittler-Str. 18, Nuremberg, 90480, Germany

    Peter Rausch

  2. Department of Computer Science, Taif University, Makkah, Al-huwayah, Taif, PO888, Saudi Arabia

    Alaa F. Sheta

  3. Faculty of Technology, De Montfort University, The Gateway, Leicester, LE1 9BH, Leicestershire, United Kingdom

    Aladdin Ayesh

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Pohl, D., Bouchachia, A. (2013). Financial Time Series Processing: A Roadmap of Online and Offline Methods. In: Rausch, P., Sheta, A., Ayesh, A. (eds) Business Intelligence and Performance Management. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-4471-4866-1_10

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  • DOI: https://doi.org/10.1007/978-1-4471-4866-1_10

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4865-4

  • Online ISBN: 978-1-4471-4866-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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