Next Article in Journal
Unemployment and Growth in the Tourism Sector in Mexico: Revisiting the Growth-Rate Version of Okun’s Law
Previous Article in Journal
Financial Stability Index for the Financial Sector of Pakistan
Previous Article in Special Issue
Lack of Global Convergence and the Formation of Multiple Welfare Clubs across Countries: An Unsupervised Machine Learning Approach
Open AccessArticle

A Comparison on Leading Methodologies for Bankruptcy Prediction: The Case of the Construction Sector in Lithuania

Faculty of Economics and Business Administration, Vilnius university, Vilnius 10222, Lithuania
Faculty of Economics and Business, Mykolas Romeris university, Vilnius 08303, Lithuania
Author to whom correspondence should be addressed.
Economies 2019, 7(3), 82;
Received: 10 June 2019 / Revised: 3 August 2019 / Accepted: 13 August 2019 / Published: 17 August 2019
(This article belongs to the Special Issue Computational Macroeconomics)
Different economic environments differ in their characteristics; this prevents the usage of the same bankruptcy prediction models under different conditions. Objectively, the abundance of bankruptcy prediction models gives rise to the idea that these models are not in compliance with the changing business conditions in the market and do not meet the increasing complexity of business tasks. The purpose of this study is to assess the suitability of existing bankruptcy prediction models and the possibilities to increase the effectiveness of their application. In order to analyze theoretical aspects of the application of bankruptcy forecasting models and frame the research methodology, a systemic comparative and logical analysis of the scientific literature and statistical data, graphic data representation, induction, deduction and abstraction are employed. Results of the analysis confirm research hypotheses that bankruptcy prediction models based on macroeconomic variables are effective in identifying the number of corporate bankruptcies in a country and that the application of the model created on the grounds of macroeconomic indicators together with the traditional bankruptcy prediction model can improve the reliability of bankruptcy prediction. However, it was identified that models which are not specially adapted to companies in the construction sector are also suitable for forecasting their bankruptcies. View Full-Text
Keywords: bankruptcy prediction models; construction sector bankruptcy prediction models; construction sector
Show Figures

Figure 1

MDPI and ACS Style

Giriūniene, G.; Giriūnas, L.; Morkunas, M.; Brucaite, L. A Comparison on Leading Methodologies for Bankruptcy Prediction: The Case of the Construction Sector in Lithuania. Economies 2019, 7, 82.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop