K Means Cluster Analysis Risk Analysis in IOB
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Received date: August 19, 2018
Accepted date: August 19, 2018
Published date: June 8, 2018
https://doi.org/10.14419/ijet.v7i2.33.17915
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Risk Analysis, Ratios, Indian Banking Industry -
Abstract
Purpose: Indian Banking industry has witnessed a vast change since the era of globalization, liberalization, increased competition, technological advancement and regulatory amendments. Different types of risks have a potentially negative effect on banking business. Risk identification, measurement and assessment, and its objective is to minimize negative effects risks can have on the financial result and capital of a bank constitutes risk management in bank. Objectives of the Study: The study aims to estimate the risk managementand risk bearing capabilities of IOB. Design/methodology/approach: The Bank IOB has been taken as sample unit to do research.The period considered for the studyis 5 years. The research uses secondary data. The data is collected from the financial statements for the period of analysis from 2013-2017 moneycontrol.com and the annual reports of the banks. Tools Used to Measure Risk: Ratio Analysis is exploited to compare the financial position with risk management of IOB.The K-means cluster analysis is used to segment the years with respect to different financial ratios. Scope and Limitations of the Study: Only sixteen ratios were taken for the measurement of risk. The performance of IOBÂ bank has been computed only for the period of 5 years i.e., 2013-2017. The study used the secondary data for analysis and interpretations.
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References
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How to Cite
Sasikala, D., S.Vasantha, D., & M. Sangeetha, D. (2018). K Means Cluster Analysis Risk Analysis in IOB. International Journal of Engineering and Technology, 7(2.33), 1097-1101. https://doi.org/10.14419/ijet.v7i2.33.17915Received date: August 19, 2018
Accepted date: August 19, 2018
Published date: June 8, 2018