Assessing the stability of the banking system based on fuzzy logic methods

Abstract

The functioning of the country’s banking system is the basis for ensuring its economic development and stability. The state of the banking system often causes financial crises; therefore, ensuring its stable work is one of the main tasks of monetary policy. Meanwhile, it is important to find approaches to a comprehensive assessment and forecasting of the stability of the banking system that would allow obtaining adequate results.Based on a sample of data generated for the period from 2008 to the 1st quarter of 2020 with a quarterly breakdown, an integrated stability index of Ukraine’s banking system was estimated. The analysis was based on 23 variables that characterize certain aspects of the functioning of the Ukrainian banking system.Using the principal component analysis, five factors have been identified that have the greatest impact on ensuring the stability of the banking system. They were used to form an integrated index based on the application of the Mamdani fuzzy logic method. The results obtained adequately reflected the state of stability of the banking system for the analyzed period, which coincided in time with the crisis phenomena occurring in the Ukrainian banking system. The obtained value of the integrated index characterizes the stability of Ukraine’s banking system at the average level, since it depends not only on the internal state of the system, but also on the influence of external factors, both national and international.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 21 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.