Modelling and Assessment of Banking Ecosystems

Student: Dashevskiy Maxim

Supervisor: Natalia Dyachkova

Educational Programme: Statistical Modelling and Actuarial Science (Master)

Year of Graduation: 2021

This paper analyzes the development of international ecosystems depending on country risk. The main objective of the study is to explain the relationship between the opening of an office by a company in a country and country risks' factors in a given country and to assess the effectiveness of subsidiaries which has been already opened in different countries of the world, depending on these countries. To reach the goal, the indicators of country risks were taken from 2004 to 2019 and 9 large international ecosystems. The main research methods are binary choice models for assessing the probability of opening these branches around the world, and also the SFA method for calculating the effectiveness of opening new offices by large ecosystems.

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