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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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
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