Analysis and Prediction of the Bankruptcy Risk in Romanian Building Sector Companies

Bărbuță-Mișu, Nicoleta; Codreanu, Elena-Silvia

doi:10.15388/ekon.2014.2.3542

Cited by 11 publications

(2 citation statements)

References 18 publications

(13 reference statements)

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“…On the other hand, the worst models cover six to eight indicators. It is worth mentioning that the most effective models are those that are specially developed and adapted for a specific economic sector (Fedorova et al 2016;Barbuta-Misu and Codreanu 2014). In addition, research by Onofrei and Lupu (2014) proved that the application of discriminant analysis model to the Romanian market is more efficient in comparison to the applied logistic regression model.…”

Section: Traditional Statisticalmentioning

confidence: 99%

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

et al. 2019

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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.

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Section: Traditional Statisticalmentioning

confidence: 99%

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

et al. 2019

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“…It is based on a sample of 95 small and medium-sized enterprises, half of which went bankrupt between 1970 and 1975. The analyzed companies were statistically grouped to determine a score function applicable to industrial companies, construction companies, wholesale and transport companies (Bărbuţă-Mişu & Codreanu, 2014). The Taffler model was designed in 1983 by English scientists R. Taffler and G. Tishou who proposed the Z model based on the calculation of four factors.…”

Section: Literature Reviewmentioning

confidence: 99%

Bibliometric analysis of the literature on evaluation models of the bankruptcy risk

Grosu¹,

Chelba²,

Melega³

et al. 2023

Strategic Management

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Background: To manage an enterprise effectively, it is necessary to analyze and diagnose its financial condition, an activity that can warn management of dangerous business situations. Topics such as assessing financial position, performance, and risk, especially after situations that involve an economic and financial crisis in the company have been widely discussed in scientific literature. Purpose: The purpose of the research is to highlight the main research trends regarding bankruptcy risk assessment models. Study design/methodology/approach: The research strategy is based on two main directions: the first involves the selection of research papers with topics on Conan & Holder and Taffler models published on WoS between 2007 and 2021 and those published on SCOPUS between 2006 and 2021. The second direction aims to select the relevant papers and perform a content analysis of financial-accounting information of Conan & Holder and Taffler models. Findings/conclusions: The results obtained were concretized in the design of a bibliometric analysis of bankruptcy risk assessment models, which provides an overview of the new research trends regarding bankruptcy risk assessment models. Thus, it was found that most of the studies focus on the analysis of the efficiency of the bankruptcy risk assessment methods and the identification of new options that allow predictability of the risk. Limitations/future research: Our study limitations are mainly due to the bibliometric algorithm, in the sense that only papers indexed in WoS and Scopus can be imported, processed, and interpreted, which excludes parts of the existing literature on this topic and omits the analysis of some pertinent contributions to our research area. This research can be used as a cornerstone for new research directions, both quantitative and qualitative, on the mechanism of application of bankruptcy risk prevention methods.

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Factors Affecting Bankruptcy Depending on the Size of the Company

Sponerová

Svoboda

Sponer

2022

Sustainable Finance in the Green Economy

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Analysis and Prediction of the Bankruptcy Risk in Romanian Building Sector Companies

Cited by 11 publications

References 18 publications

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

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

Bibliometric analysis of the literature on evaluation models of the bankruptcy risk

Factors Affecting Bankruptcy Depending on the Size of the Company

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