Chapter 14: An Empirical Analysis of the Interactional Relationship Between Liquidity Risk, Credit Risk, and Profitability of Banks in India
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Published:2024
Anita Tanwar, 2024. "An Empirical Analysis of the Interactional Relationship Between Liquidity Risk, Credit Risk, and Profitability of Banks in India", Finance Analytics in Business: Perspectives on Enhancing Efficiency and Accuracy, Sanjay Taneja, Pawan Kumar, Kiran Sood, Ercan Özen, Simon Grima
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Abstract
The purpose of this research is to examine the connections between liquidity risk, credit risk, and bank profitability in India.
In order to examine the interlinkage between liquidity risk, credit risk, and profitability of banks in India, the researcher has gathered data from all commercial banks in India from 2004–2005 to 2020–2021. The data sources included in this study encompass the International Country Risk Guide, World Development Indicators and Reserve Bank of India (RBI). Seemingly Unrelated Regression (SUR) has been utilised for the study.
Findings of this research identified that liquidity risk is inversely proportional to credit risk. Return on assets (ROA) and return on equity (ROE) are both impacted negatively by liquidity risk. ROA is impacted positively by credit risk, while ROE is impacted negatively by it. The profitability of banks is harmed by the interaction between liquidity risk and credit risk. It also shows that law and order, are beneficial to bank earnings and risk management. The capital risk-adjusted ratio has a negative relationship with bank profitability, indicating the need for better capital allocation.
The originality of this work lies in its unique contributions, It emphasises explicitly the Indian context, thereby providing insights tailored to this particular setting. It employs the SUR methodology, a statistical approach allowing for a more comprehensive data analysis. Additionally, it identifies and explores interaction effects, which can shed light on the complex relationships between variables.
