Journal of Statistics Applications & Probability
Abstract
Fraud is defined as an act committed to deceive people and undermine their trust in financial institutions. The effects of fraud in government financial institutions, the private sector, and at the societal level show that it deeply feeds the economy. Objective. This study aims to shed light on the effects of financial fraud, measure its impact, and determine means to control it. Methods and Materials. This study considered a survey and a questionnaire was used to collect primary data. The total number of participants included in the questionnaire was 77. Two methods were used to search for the real effects of financial fraud, measure its impact, and determine the means to control it: factor and regression analyses. The data were analyzed using SPSS version 25.0. Results. The factor analysis results reveal the factors that contributed to the effects of financial fraud from A1 to A15, excluding factors A12 and A13. The regression analysis revealed the elements that contributed to the effects of financial fraud on A2, A5, and A14. Conclusion. Based on the findings of the two methodologies and the similarity in the outcomes of the causal variables, the fundamental and authentic aspects that lead to the effects of financial fraud were identified as A2, A5, and A14.
Digital Object Identifier (DOI)
https://dx.doi.org/10.18576/jsap/130125
Recommended Citation
Abdulrahman Alanazi, Talal and O Alshammari, Abdulmohsen
(2024)
"Applications of Fractional Supersaturated Process and Factor Analysis in the Systemic Risks of Financial Fraud,"
Journal of Statistics Applications & Probability: Vol. 13:
Iss.
1, Article 25.
DOI: https://dx.doi.org/10.18576/jsap/130125
Available at:
https://digitalcommons.aaru.edu.jo/jsap/vol13/iss1/25