Analysis of Trust in Ukrainian banks based on Machine Learning Algorithms

Bogdan Adamyk, Andriy Skirka, Khrystyna Snihur, Oksana Adamyk

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Purpose: This paper aims to conduct a thorough analysis to determine the influence of several possible factors on the level of confidence in Ukrainian banks. This scientific research project is based on data from the World Values Survey (WVS). The paper also aims to empirically investigate a number of independent variables, that creates trust in banks, based on Machine Learning Algorithms. Besides that, use some of the predictive analytics techniques to anticipate the level of trust in Ukrainian banks. Methodology: To calculate the index of Confidence in Banks var., by using linear regression, logistic regression (as a robustness check), Random Forrest, Decision Tree and XGBoost Models. Verify the output and results by using the Residual graphs, Cross-validation, Confusion matrix, ROC and model accuracy estimations. Main Findings: Age, level of financial satisfaction, scale income and life satisfaction, general trust, lack of cash and other indicators has a significant impact on the the level of trust in Ukrainian banks. This paper represents a number and probability value of the variables spectrum; effect plots and other visualization graphs.

Original languageEnglish
Title of host publication2019 9th International Conference on Advanced Computer Information Technologies, ACIT
PublisherIEEE
Pages234-239
Number of pages6
ISBN (Electronic)9781728104492
DOIs
Publication statusPublished - Aug 2019
Event9th International Conference on Advanced Computer Information Technologies, ACIT 2019 - Ceske Budejovice, Czech Republic
Duration: 5 Jun 20197 Jun 2019

Publication series

Name2019 9th International Conference on Advanced Computer Information Technologies, ACIT 2019 - Proceedings

Conference

Conference9th International Conference on Advanced Computer Information Technologies, ACIT 2019
Country/TerritoryCzech Republic
CityCeske Budejovice
Period5/06/197/06/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • bank run
  • data science
  • data visualization
  • deposit guarantee
  • Machine Learning Algorithm
  • trust in banks

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