Discriminant Analysis of Listed Commercial Banks based on Mahalanobis Distance
DOI:
https://doi.org/10.54097/hbem.v3i.4653Keywords:
Mahalanobis Distance; Listed Commercial Banks; Logistic Regression.Abstract
This paper calculates the total rate of return on equity investment of 20 American listed commercial banks from 2016 to 2021, and conducts discriminant analysis using Mahalanobis distance for commercial banks that outperform and commercial banks that underperform. It is found that the combination of financial indicators of loan/shareholder's equity and loan/deposit can conduct better discriminant analysis on the performance of the return on equity investment of listed commercial banks.
Downloads
References
P C Mabalanobis, On tests and measures of group divergence, Joumal of the Asiatic Society of Bengal, 26, 541-588, 1930.
McLachlan, G. J. (1999). Mahalanobis distance. Resonance, 4(6), 20-26.
Xiang, S., Nie, F., & Zhang, C. (2008). Learning a Mahalanobis distance metric for data clustering and classification. Pattern recognition, 41(12), 3600-3612.
Nick, T. G., & Campbell, K. M. (2007). Logistic regression. Topics in biostatistics, 273-301.
Hosmer Jr, D. W., Lemeshow, S., & Sturdivant, R. X. (2013). Applied logistic regression (Vol. 398). John Wiley & Sons.
Cole, R. A., Moshirian, F., & Wu, Q. (2008). Bank stock returns and economic growth. Journal of Banking & Finance, 32(6), 995-1007.
Greenwald, B. C., Kahn, J., Bellissimo, E., Cooper, M. A., & Santos, T. (2020). Value investing: from Graham to Buffett and beyond. John Wiley & Sons.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.






