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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Credit Risk Management and Measurement - Empirical Model in the Banking System |
| Authors Name: | Nandini Parmar , Yashesh Zaveri , Shruti Mishra |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_218322
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| Published Paper Id: | IJNRD2404332 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| 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. |
| Keywords: | Credit risk management, Banking system, Empirical investigation, Risk identification, Empirical model, Risk management practices, financial stability |
| Cite Article: | "Credit Risk Management and Measurement - Empirical Model in the Banking System", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.d267-d275, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404332.pdf |
| Downloads: | 00039 |
| 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 |
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Published Paper ID:IJNRD2404332 Registration ID: 218322 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: d267-d275 Country: Vadodara , Gujarat, India Research Area: Management Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404332 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404332 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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