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

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

Registration ID: IJNRD_218322

Published ID: IJNRD2404332

DOI: Click Here to Get

Nandini Parmar , Yashesh Zaveri , Shruti Mishra

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

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.

Published Paper   E-Certificate

"Credit Risk Management and Measurement - Empirical Model in the Banking System", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.d267-d275, April-2024, Available :https://ijnrd.org/papers/IJNRD2404332.pdf

Volume 9 Issue 4, April-2024

Pages : d267-d275

Paper Reg. ID: IJNRD_218322

Published Paper Id: IJNRD2404332

Downloads: 000121276

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

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

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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