International Journal of Leading Research Publication

E-ISSN: 2582-8010   •   Impact Factor: 9.56

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 4 April 2025 Submit your research before last 3 days of to publish your research paper in the issue of April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 4
April 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Impact of Global Economic Shocks on Credit Risk Assessment Models in the Banking Industry

Author(s) Sashi Kiran Vuppala
Country United States
Abstract Financial market stability continues to experience significant impacts from global economic events such as recessions and both geopolitical tensions and pandemics because these situations force banks to modify their existing credit risk assessment processes. Thus, this paper delves into the vulnerabilities and pliability of traditional credit risk assessment frameworks in response to volatile economic conditions. Modern global economics require data-driven methods for constructing predictive models that analyze emerging indicators extracted from real-time economic data and market fluctuations. Roadmaps based on machine learning methods and microservices structure along with big data management show promise for developing highly precise dynamic credit risk evaluation algorithms. Systems based on microservices architecture show scalability by enabling independent modules such as scoring and risk analysis to adapt naturally to economic changes without affecting system dependability. The research presents better forecasting capabilities followed by tests on standard risk models through economic stress simulations using actual data records. Our analysis delves into current regulatory needs and worldwide collaborative initiatives toward standardized practical risk assessment procedures. The model results in advanced and resilient credit risk systems by allowing financial institutions to attain financial stability for their customers alongside secure operations.
Keywords Global Economic Shocks, Credit Risk Assessment, Machine Learning, Microservices Architecture, Big Data Analytics, Predictive Accuracy, Default Rate, Banking Industry, Risk Management
Field Engineering
Published In Volume 2, Issue 5, May 2021
Published On 2021-05-06
Cite This Impact of Global Economic Shocks on Credit Risk Assessment Models in the Banking Industry - Sashi Kiran Vuppala - IJLRP Volume 2, Issue 5, May 2021. DOI 10.5281/zenodo.14982347
DOI https://doi.org/10.5281/zenodo.14982347
Short DOI https://doi.org/g8687r
View / Download PDF File

Share this



CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJLRP DOI prefix is
10.70528/IJLRP

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 5 Isu 12 Cover Page Vol 5 Isu 11 Cover Page Vol 5 Isu 10

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJLRP
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijlrp.com