Thesis Abstract

Abstract
Credit management is a critical aspect of bank lending that involves assessing the creditworthiness of borrowers and monitoring their repayment behavior. Effective credit management practices are essential for banks to mitigate the risks associated with lending and to ensure the profitability and sustainability of their operations. This research project aims to investigate the role of credit management in bank lending and its impact on the overall financial performance of banks. The study will begin by examining the various components of credit management, including credit appraisal, credit scoring, credit monitoring, and loan recovery. It will explore the factors that influence credit decisions in banks, such as borrower characteristics, collateral requirements, and economic conditions. The research will also delve into the regulatory framework governing credit management practices in the banking sector and its implications for risk management and compliance. Furthermore, the project will analyze the relationship between credit management practices and loan performance, focusing on metrics such as non-performing loans (NPLs), loan loss provisions, and credit risk indicators. By evaluating historical data and case studies, the research will seek to identify best practices in credit management that contribute to lower default rates and higher asset quality in banks' loan portfolios. Moreover, the study will investigate the impact of technological advancements and data analytics on credit management processes, such as the use of credit scoring models, machine learning algorithms, and digital platforms for credit assessment and decision-making. It will assess the effectiveness of these tools in improving the accuracy and efficiency of credit evaluations while managing risks associated with lending activities. In conclusion, this research project aims to provide valuable insights into the importance of credit management in bank lending and its implications for the financial performance and stability of banks. By highlighting the key factors and strategies that contribute to effective credit risk management, the study aims to offer recommendations for banks to enhance their credit management practices and optimize their lending operations. The findings of this research are expected to benefit banking professionals, regulators, and policymakers in improving credit quality, reducing credit losses, and ensuring the soundness of the banking system.

Thesis Overview