Self-Organising (Kohonen) Maps for the Vietnam Banking Industry

This is the first study to use self-organisation (Kohonen) map technique, an artificial neural network based on a non-supervised learning algorithm, categorise Vietnamese banks into super-class groups. Drawing unbalanced yearly data from 2008 2017, this identifies two groups (one and two). While group one consists of joint stock banks, commercial state banks. Using non-structural indicator, Lerner index, capture market power, enveloped analysis technique measure bank performance, our result shows significant differences in scores (which represent power) Differences provide evidence strong that isolated other implies has potential be monopolist impairs Vietnam’s competitive banking environment. The reason may more profitable due greater whereas struggle cut costs remain viable. These findings better understanding for executives, policymakers regulators Vietnam industry, ensure efficient