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Erschienen in:
Business Intelligence and Performance Management: Introduction Kapitel lesen Erstes Kapitel lesen

2013 | OriginalPaper | Buchkapitel

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

verfasst von : Daniela Pohl, Abdelhamid Bouchachia

Erschienen in: Business Intelligence and Performance Management

Verlag: Springer London

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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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Vorheriges Kapitel Planning Purchase Decisions with Advanced Neural Networks
Nächstes Kapitel Data Supply for Planning and Budgeting Processes under Uncertainty by Means of Regression Analyses
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Metadaten
Titel
Financial Time Series Processing: A Roadmap of Online and Offline Methods
verfasst von
Daniela Pohl
Abdelhamid Bouchachia
Copyright-Jahr
2013
Verlag
Springer London
Buch
Business Intelligence and Performance Management

Print ISBN: 978-1-4471-4865-4

Electronic ISBN: 978-1-4471-4866-1

Copyright-Jahr: 2013

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