Wissenschaftliche Studie, 2011
16 Seiten, Note: 1
This study examines the relationship between the non-performing assets (NPA) of a large Indian public sector bank and the bank's total assets. The objective is to develop a predictive model for NPA% based on total assets, aiding in the early estimation of potential NPAs. This research explores the correlation between gross and net NPA% and total assets, seeking to establish a practical method for estimating NPA levels.
The study begins with an introduction that highlights the significance of NPA management in the Indian banking sector. The literature review delves into research on the determinants of NPA, examining studies on the impact of macroeconomic conditions, credit growth, and bank-specific factors on NPA formation. The methodology section describes the data collection process, including the use of historical data from the Reserve Bank of India and Capitaline financial databases. The results and discussion section analyzes the relationship between total assets and NPA%, comparing linear and non-linear models to assess the predictive power of total assets in estimating NPA levels. The final section concludes the study, summarizing the key findings and highlighting the implications of the results for bank management and policymakers.
This study focuses on the following keywords: NPA Management, Total Assets, Indian Public Bank, Gross NPA, Net NPA, Linear Model, Non-Linear Models.
NPAs are loans where the borrower defaults or delays interest or principal payments, representing a significant risk to a bank's asset quality.
The goal is to develop a predictive model that allows banks to estimate their NPA levels early, simply by looking at their total assets.
Yes, the study observed a strong correlation between gross/net NPA% and total assets in a large Indian public sector bank.
A non-linear model linking both gross and net NPA to total assets provided the best curve fit and the least deviation from actual values.
It provides a practical method for financial institutions to ascertain their overall NPA picture as soon as loan amounts are disbursed, aiding in risk mitigation.
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