Bank Reliability Assessment Model: Case of Latvia
Irina Solovjova () and
Inna Romānova ()
Additional contact information
Irina Solovjova: University of Latvia
Inna Romānova: University of Latvia
A chapter in Eurasian Business Perspectives, 2020, pp 285-298 from Springer
Abstract:
Abstract Reliable and stable banks are an important precondition for the sustainable development of national economy. The objective of the chapter is to design a model allowing assessment of bank reliability in the context of bank financial strength. The model is designed using publicly available financial statement data of Latvian commercial banks, in the period of 2003–2016, macroeconomic data as well as aggregate statistical data of Latvian banking sector. The model allows calculation of ratings reflecting reliability level of banks. The model is designed based on the multiple choice model ordered logit. The chapter identifies the most important factors reflecting reliability level of banks, including shareholder equity ratio, profitability, assets structure, loan portfolio structure, and others. The assessment of bank reliability shows that the global financial crisis had a negative impact on Latvian commercial banks, revealing imbalances in bank operations and performance, causing decrease of profitability and deterioration of bank loan portfolios.
Keywords: Bank; Financial strength; Rating; Reliability (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:eurchp:978-3-030-35051-2_19
Ordering information: This item can be ordered from
http://www.springer.com/9783030350512
DOI: 10.1007/978-3-030-35051-2_19
Access Statistics for this chapter
More chapters in Eurasian Studies in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().