Predicting daily precision improvement of Jakarta Islamic Index in Indonesia's Islamic stock market using big data mining
Mohammed Ayoub Ledhem and Warda Moussaoui
| Year of publication: |
2024
|
|---|---|
| Authors: | Ledhem, Mohammed Ayoub ; Moussaoui, Warda |
| Published in: |
Journal of modelling in management. - Bradford : Emerald, ISSN 1746-5672, ZDB-ID 2243983-3. - Vol. 19.2024, 3, p. 765-786
|
| Subject: | Data analysis | Data mining | Financial analysis | Data Mining | Indonesien | Indonesia | Aktienmarkt | Stock market | Big Data | Big data | Prognoseverfahren | Forecasting model | Börsenkurs | Share price | Islam | Islamisches Finanzsystem | Islamic finance | Aktienindex | Stock index |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1108/JM2-12-2022-0291 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014512891