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Forecasting banks return on equity using leading economic indicators
Type of publication
Straipsnis Scopus duomenų bazėje / Article in Scopus database (S1b)
Author(s)
Vilniaus Gedimino technikos universitetas | |
Title
Forecasting banks return on equity using leading economic indicators
Date Issued
2020
Extent
p. 460-468
Is part of
Business: theory and practice = Verslas: teorija ir praktika. Vilnius : VGTU Press, 2020, vol. 21, iss. 2.
Description
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unre-stricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Field of Science
Abstract
The research examines an approach to forecast return on equity using leading economic indicators for short periods in banks. ROE is one of the most important ratios for performance measurement. Its adequacy is necessary for competitiveness, attract funding in financial markets, accumulate reserve for future turbulences, secure compliance with supervisory requirements and maintain positive signals for the market. There is still a debate in the literature on factors of commercial banks’ profitability forecasting, techniques, and most appropriate models to improve the correctness of predicting and acquiring more accurate signals for communication on targets. The problems are still relevant from both a theoretical perspective and practical implementation. This research aims to prove the necessity to include leading economic indicators for short term ROE forecasting. It conducts investigations for the relevant studies, using regression analysis, necessary tests, ascertains opportunities and limitations of using these indicators and develops a conceptual model and its assessment major Baltic banks. The results show verification of approach to forecast ROE using leading economic indicators for short periods. Such study complements signalling theory with a new approach, how to predict and acquire signal not only using economic indicators as a general group but sub-group them into coinciding, lagging and leading.
Is Referenced by
Type of document
type::text::journal::journal article::research article
ISSN (of the container)
1648-0627
1822-4202
SCOPUS
2-s2.0-85089008864
eLABa
64536486
Coverage Spatial
Lietuva / Lithuania (LT)
Language
Anglų / English (en)
Bibliographic Details
55
Creative Commons License
Journal | Cite Score | SNIP | SJR | Year | Quartile |
---|---|---|---|---|---|
Business: Theory and Practice | 2.3 | 0.958 | 0.369 | 2020 | Q2 |