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The Impact of Utilizing the Bank of Algeria's Big Data on Forecasting Algerian Banking Stability via the Z-score Model (2009–2023)

Year: 2026

Type: article

Abstract: The aim of this study was to determine the degree of stability of the Algerian banking system during the period 2009–2023. To achieve this, the z-score method was used, based on big data compiled on the Bank of Algeria’s website, which serves as a source of open data.The results of applying the Z-score indicator have shown that the Algerian banking sector’s profits would need to fall by a factor of 70.45 times the standard deviation before equity is completely eroded, which would mean an inability to meet financial obligations. This suggests that the Algerian banking system enjoys an acceptable degree of stability, as it remains far from the risk levels associated with default or bankruptcy.

Source: Review of Futures Markets

Authors: Serir Abdelkadir, Saida Ilifi, Samira Hamadouche, Nabil Guebli

Institutions: Université Djilali Bounaama Khemis Miliana, Tissemsilt University, Hassiba Benbouali University of Chlef

Language: English

Topic: Banking stability, regulation, efficiency

Subfield: Finance

Field: Economics, Econometrics and Finance

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W7215380353

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