Doaa M H Ahmed
Biographic Data
| ID | 6943798 |
|---|---|
| NAME | Doaa M H Ahmed |
| GIVEN NAMES | Doaa M H |
| FAMILY NAME | Ahmed |
| SIGNATURE | AHMED D M H |
| AFFILIATIONS | Imam Mohammad ibn Saud Islamic University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The Causal Nexus Between Digital Financial Inclusion and Economic Growth in Sub-Saharan Africa
This analysis examines the causal relationship between digital financial inclusion and economic performance in Sub-Saharan Africa, a region experiencing significant financial access constraints. The theoretical framework suggests that digital financial services lower information barriers and transaction expenses, facilitating improved capital distribution and business development. The study develops a new composite index measuring digital financi…
The Optimal Orchestration of Military Expenditure for Economic Growth in Africa
This study presents an extensive empirical investigation into the non-linear relationship between military spending and economic growth, backed by data from 45 African countries for the period of 1990-2023. We relied on an extended Solow growth model and a multi-method econometric approach consisting of System GMM, Panel ARDL, and Panel Threshold Regression; to deal with the problems of endogeneity, dynamic panel bias, and heterogeneity. The resu…
Forecasting Sovereign Debt Distress in Egypt Using a Machine Learning-Based Early Warning System
In the era of rising global sovereign risk, this study designs and validates A Machine Learning-Based Early Warning System for sovereign debt distress specific to Egypt. Going beyond conventional econometric models, we advance machine learning techniques suited to the idiosyncratic nature of the Egyptian economy. Upon rigorous analysis of a comprehensive dataset (1990–2023), the XGBoost algorithm (an implementation of Gradient Boosting showed exc…
No prominent works on this page.
The Causal Nexus Between Digital Financial Inclusion and Economic Growth in Sub-Saharan Africa
This analysis examines the causal relationship between digital financial inclusion and economic performance in Sub-Saharan Africa, a region experiencing significant financial access constraints. The theoretical framework suggests that digital financial services lower information barriers and transaction expenses, facilitating improved capital distribution and business development. The study develops a new composite index measuring digital financi…
The Optimal Orchestration of Military Expenditure for Economic Growth in Africa
This study presents an extensive empirical investigation into the non-linear relationship between military spending and economic growth, backed by data from 45 African countries for the period of 1990-2023. We relied on an extended Solow growth model and a multi-method econometric approach consisting of System GMM, Panel ARDL, and Panel Threshold Regression; to deal with the problems of endogeneity, dynamic panel bias, and heterogeneity. The resu…
Forecasting Sovereign Debt Distress in Egypt Using a Machine Learning-Based Early Warning System
In the era of rising global sovereign risk, this study designs and validates A Machine Learning-Based Early Warning System for sovereign debt distress specific to Egypt. Going beyond conventional econometric models, we advance machine learning techniques suited to the idiosyncratic nature of the Egyptian economy. Upon rigorous analysis of a comprehensive dataset (1990–2023), the XGBoost algorithm (an implementation of Gradient Boosting showed exc…
Economic Growth and Development (2 works) · Panel data (2 works) · Bad debt (1 work) · Boosting (machine learning (1 work) · Constraint (computer-aided design (1 work) · Corporate governance (1 work) · Credibility (1 work) · Credit risk (1 work) · Credit Risk and Financial Regulations (1 work) · Debt (1 work)