An Empirical Analysis of Growth and Consolidation in Banking: A Markovian Approach for the case of Russia
This paper represents an empirical examination of the process of banks' growth in Russia during 2004-2010 years. A Stochastic process of growth is modeled by Markov chain theory. Elements in the transition matrices of Markov Chain are the transition probabilities that provide a plausible estimate of how the banking system structure changes from one period to another. markov chain stationarity check revealed three homogeneous periods. Given adequate robustness proof forecasting for 1, 3, and 10 years ahead was done. it is argues number of banks is expected to decrease mostly two times whereas total assets are envisaged to grow more than 2.5 times, but return on assets is unlikely to increase more than by 12% in 10 years by 2020.