Analyzing Performance of Banks in India: A Robust Regression Analysis Approach | Zendy

Mohammad Athar Ali | Zendy; Asif Pervez | Zendy; Rohit Bansal | Zendy; Mohammed Arshad Khan | Zendy

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Analyzing Performance of Banks in India: A Robust Regression Analysis Approach

Author(s) -

Mohammad Athar Ali,

Asif Pervez,

Rohit Bansal,

Mohammed Arshad Khan

Publication year - 2022

Publication title -

discrete dynamics in nature and society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 39

eISSN - 1607-887X

pISSN - 1026-0226

DOI - 10.1155/2022/8103510

Subject(s) - outlier , robust regression , regression analysis , regression , computer science , econometrics , margin (machine learning) , net interest margin , statistics , return on assets , mathematics , business , artificial intelligence , machine learning , finance , profitability index

This research aims to analyze the impact of bank performance determinants on bank performance by applying robust regression analysis. For this, the relationship between return on assets and net interest margin with bank performance determinants has been discussed using robust regression. Robust regression offers a better and more realistic analysis owing to reducing the impact of outliers and influential data, and it is recommended for more precise results.

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