Forecasting S&P 500 index using artificial neural networks and design of experiments
Year of publication: |
2013
|
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Authors: | Niaki, Seyed Taghi Akhavan ; Hoseinzade, Saeid |
Published in: |
Journal of industrial engineering international. - Heidelberg : SpringerOpen, ISSN 2251-712X, ZDB-ID 2664907-X. - Vol. 9.2013, p. 1-9
|
Subject: | S&P 500 index | financial time series | artificial neural networks | design of experiments | analysis of variance | logit model | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Theorie | Theory | Zeitreihenanalyse | Time series analysis | Logit-Modell | Logit model | Varianzanalyse | Analysis of variance | Aktienindex | Stock index |
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Notes: | Systemvoraussetzung: Acrobat Reader |
Other identifiers: | 10.1186/2251-712X-9-1 [DOI] hdl:10419/78568 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
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