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)
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.
"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
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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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