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Economic-Statistical Analysis of the Efficiency of Banking Sector (in Example of Armenia)

Student: Lusine Davtyan

Supervisor: Alexander Skorobogatov

Faculty: St.Petersburg School of Economics and Management

Educational Programme: Applied Economics and Mathematical Methods (Master)

Year of Graduation: 2018

The development of the banking sector contributes to a sustainable and accelerated economic growth.Therefore,the analysis of efficiency of the letter has always been and remains the focus of economists' attention.The need of such research is also justified by the recent abrupt changes in Armenian banking sector(the CB of Armenia has made the decision to increase a threshold of the minimum capital of banks from 5 to 30 billion Armenian drams from 2017),in case of which what was true a few years ago,may already lose its relevance today.The subject of the research is Armenian banking sector with its 17 banks from 2010 to 2017. In the literature,there are two main approaches to assessing the level of boundary efficiency: parametric (SFA) and nonparametric (DEA).Taking into account the advantages and disadvantages,both models have been applied,allowing to investigate the consistency of efficiency scores received with two competing methods. Scientific, practical significance: Some significant outcomes of the work are: • A new approach to the DEA method was implemented,due to which,besides general efficiency,we received estimates of crediting,depository activities and management. • The cross-DEA efficiency model was implemented for Armenian banks for the first time, allowing increasing the discrimination between the DMUs. • Besides the calculation of the efficiency estimates for each bank,the optimal level of each individual factor was calculated by λ weights. • The hypothesis of the impact of revaluation of resources,expressed in foreign currencies,on efficiency was tested and adopted for Armenian banking sector. • The main sources of inefficiency turned out to be management and crediting.The solutions are recommended in the form of applying GIS and blockchain technologies based on international experience. • Analysis of some factors affecting the efficiency was implemented, as well as some unexpected results were interpreted.

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