Predicting next trading day closing price of Qatar exchange index using technical indicators and artificial neural networks
Adam Fadlalla and Farzaneh Amani
| Year of publication: |
2014
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|---|---|
| Authors: | Fadlalla, Adam ; Amani, Farzaneh |
| Published in: |
Intelligent systems in accounting finance and management : international journal. - Chichester : Wiley & Sons, ISSN 1550-1949, ZDB-ID 2166336-1. - Vol. 21.2014, 4, p. 209-223
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| Subject: | technical indicators | artificial neural networks (ANNs) | multiplayer perceptrone (MLP) | autoregressive integrated moving average (ARIMA) | Qatar Exchange (QE) Index | predicting closing price | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Aktienindex | Stock index | Katar | Qatar | ARMA-Modell | ARMA model | Börsenkurs | Share price | Finanzanalyse | Financial analysis | Index | Index number |
| Extent: | graph. Darst. |
|---|---|
| Type of publication: | Article |
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10010489782