Modeling a Venture Investment Strategy for Banking Ecosystems

Student: Mukhtarov Linar

Supervisor: Natalia Dyachkova

Educational Programme: Statistical Modelling and Actuarial Science (Master)

Year of Graduation: 2021

This work proposes investment strategies for the successful development of banking ecosystems, formalized through a consistent increase in its parameters: the time of using ecosystem products, monetization, and the total number of users. It also shows the importance of startup indicators for its investment attractiveness for banking ecosystems. In paper simulated 6 different market scenarios. The main research method is an evolutionary algorithm, which is necessary for modeling the outcomes of simulations.

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