Paper Title

Credit Risk Management and Measurement - Empirical Model in the Banking System

Article Identifiers

Registration ID: IJNRD_218322

Published ID: IJNRD2404332

DOI: Click Here to Get

Authors

Nandini Parmar , Yashesh Zaveri , Shruti Mishra

Keywords

Credit risk management, Banking system, Empirical investigation, Risk identification, Empirical model, Risk management practices, financial stability

Abstract

This research paper presents an empirical investigation into credit risk management and measurement within the banking system. Credit risk, a fundamental concern for financial institutions, necessitates robust models for its identification, assessment, and mitigation. Utilizing a dataset spanning diverse banking environments, this study develops and evaluates an empirical model for credit risk management. The model integrates various risk factors such as borrower characteristics, macroeconomic indicators, and financial market conditions to provide a comprehensive assessment of credit risk. Through rigorous empirical analysis, the efficacy of the proposed model is assessed, shedding light on its applicability and effectiveness in enhancing the risk management practices of banking institutions. The findings of this research contribute to the existing literature on credit risk management by offering insights into the development and validation of an empirical model tailored to the banking sector. By empirically testing the proposed model on a diverse dataset, this study provides empirical evidence regarding its performance and reliability. These insights have significant implications for banking practitioners, regulators, and policymakers, offering a framework for enhancing credit risk management practices within the banking system. Additionally, the research underscores the importance of continuously refining and adapting risk management models to address evolving market dynamics and regulatory requirements, thereby fostering financial stability and resilience in the banking sector.

How To Cite (APA)

Nandini Parmar, Yashesh Zaveri , & Shruti Mishra (April-2024). Credit Risk Management and Measurement - Empirical Model in the Banking System. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), d267-d275. https://ijnrd.org/papers/IJNRD2404332.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : d267-d275

Other Publication Details

Paper Reg. ID: IJNRD_218322

Published Paper Id: IJNRD2404332

Downloads: 000121990

Research Area: Management

Country: Vadodara , Gujarat, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404332.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404332

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

Publication Timeline

Peer Review
Through Scholar9.com Platform

Article Preview: View Full Paper

Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details