Forecasting financial markets indicators: DFM index case study

Joint Authors

Bin Qasimi, Tariq
al-Quqaji, Fath

Source

Journal of Quantitative Economics Studies

Issue

Vol. 10, Issue 1 (31 Dec. 2024), pp.363-370, 8 p.

Publisher

University Kasdi Merbah Ouargla

Publication Date

2024-12-31

Country of Publication

Algeria

No. of Pages

8

Main Subjects

Economy and Commerce

Abstract EN

This study aims to estimate the Dubai Financial Market index during the time period from 03 January 2022 to 31 January 2024 in order to predict the future values of the index, as the method of random time series conditional on the Heteroskedasticity of error variations was used.

The results of the study showed that the index is predictable in the short term, and the best model that can represent observations is the model ARIMA(1, 1, 1) -GARCH(1, 1).

American Psychological Association (APA)

al-Quqaji, Fath& Bin Qasimi, Tariq. 2024. Forecasting financial markets indicators: DFM index case study. Journal of Quantitative Economics Studies،Vol. 10, no. 1, pp.363-370.
https://search.emarefa.net/detail/BIM-1593167

Modern Language Association (MLA)

al-Quqaji, Fath& Bin Qasimi, Tariq. Forecasting financial markets indicators: DFM index case study. Journal of Quantitative Economics Studies Vol. 10, no. 1 (2024), pp.363-370.
https://search.emarefa.net/detail/BIM-1593167

American Medical Association (AMA)

al-Quqaji, Fath& Bin Qasimi, Tariq. Forecasting financial markets indicators: DFM index case study. Journal of Quantitative Economics Studies. 2024. Vol. 10, no. 1, pp.363-370.
https://search.emarefa.net/detail/BIM-1593167

Data Type

Journal Articles

Language

English

Notes

Includes appendix: p. 367-369

Record ID

BIM-1593167