Rate the Article: Automating Regulatory Reporting Testing: Strategies for Efficiency and Accuracy in CCAR and DFAST Software, IJSR, Call for Papers, Online Journal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

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Informative Article | Finance | India | Volume 11 Issue 11, November 2022 | Rating: 4.8 / 10


Automating Regulatory Reporting Testing: Strategies for Efficiency and Accuracy in CCAR and DFAST Software

Praveen Kumar


Abstract: Financial institutions face increasing challenges in meeting regulatory reporting requirements, particularly for the Comprehensive Capital Analysis and Review (CCAR) and Dodd - Frank Act Stress Test (DFAST) processes. Manual testing of regulatory reporting software can be time - consuming, error - prone, and resource - intensive. This paper explores the benefits and challenges of automating regulatory reporting testing for CCAR and DFAST software, focusing on strategies for improving efficiency, accuracy, and compliance. The paper proposes a framework for implementing automated testing, including test case prioritization, data - driven testing, and continuous integration. The framework is evaluated through a case study, demonstrating significant improvements in testing speed, coverage, and defect detection. The paper also discusses best practices and future research directions in regulatory reporting testing automation.


Keywords: regulatory reporting, automation, CCAR, DFAST, efficiency


Edition: Volume 11 Issue 11, November 2022,


Pages: 1528 - 1531



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